diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
index d6df0a9a0eb78..dcd6098b071ae 100644
--- a/.devcontainer/Dockerfile
+++ b/.devcontainer/Dockerfile
@@ -1,4 +1,43 @@
-FROM mcr.microsoft.com/vscode/devcontainers/python:3.11
+FROM mcr.microsoft.com/vscode/devcontainers/python:3.13
+COPY --from=ghcr.io/astral-sh/uv:0.5.11 /uv /uvx /bin/
+ARG USERNAME=vscode
 
 RUN apt-get update && \
-  apt-get install -y --no-install-recommends libgdal-dev
+  apt-get install -y --no-install-recommends libgdal-dev && \
+  rm -rf /var/lib/apt/lists/*
+
+RUN python3 -m pip install pipx --no-cache-dir
+RUN python3 -m pipx ensurepath
+RUN pipx install rust-just
+
+WORKDIR /app
+
+# Enable bytecode compilation
+ENV UV_COMPILE_BYTECODE=1
+
+# Copy from the cache instead of linking since it's a mounted volume
+ENV UV_LINK_MODE=copy
+
+COPY . /app
+
+# Install the project's dependencies using the lockfile and settings
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=uv.lock,target=uv.lock \
+    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+    uv venv && uv sync --group dev --group tests \
+        --extra duckdb --extra clickhouse  --extra examples --extra geospatial
+
+ENV VENV_DIR=.venv
+RUN chown -R $USERNAME $VENV_DIR && chmod -R 755 $VENV_DIR
+
+ENV IBIS_PROJECT=.
+RUN chown -R $USERNAME $IBIS_PROJECT
+
+# Place executables in the environment at the front of the path
+ENV PATH="/app/.venv/bin:$PATH"
+
+SHELL ["/bin/bash", "-c", "source .venv/bin/activate"]
+
+ENTRYPOINT []
+
+USER $USERNAME
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
index 12fd9b34bb2e2..bb2c07c9d7490 100644
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -1,6 +1,9 @@
 {
-  "build": { "dockerfile": "Dockerfile" },
-  "postCreateCommand": ".devcontainer/postCreate.sh",
+  "build": { "dockerfile": "Dockerfile", "context": ".." },
+  "containerUser": "vscode",
+  "remoteUser": "vscode",
+  "postStartCommand": "git config --global --add safe.directory ${containerWorkspaceFolder}",
+  "workspaceFolder": "/app",
   "customizations": {
     "codespaces": {
       "openFiles": ["docs/tutorials/getting_started.qmd"]
diff --git a/.gitattributes b/.gitattributes
index c63a5474eb624..a37573b1dd800 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1,5 +1,5 @@
 flake.lock linguist-generated=true
-poetry.lock linguist-generated=true
+uv.lock linguist-generated=true
 ibis/examples/pixi.lock linguist-generated=true
 requirements-dev.txt linguist-generated=true
 docs/_freeze/**/html.json linguist-generated=true
diff --git a/.github/renovate.json b/.github/renovate.json
index 6c4856b60c49a..39d7990ade72c 100644
--- a/.github/renovate.json
+++ b/.github/renovate.json
@@ -1,9 +1,15 @@
 {
   "rangeStrategy": "widen",
-  "extends": ["config:base", ":enablePreCommit", ":disableDependencyDashboard"],
-  "schedule": ["after 10pm and before 5am every weekday", "every weekend"],
+  "extends": ["config:recommended", ":enablePreCommit", ":dependencyDashboard"],
+  "schedule": [
+    "after 10pm every weekday",
+    "every weekend",
+    "before 5am every weekday"
+  ],
   "semanticCommits": "enabled",
-  "lockFileMaintenance": { "enabled": true },
+  "lockFileMaintenance": {
+    "enabled": true
+  },
   "enabledManagers": [
     "docker-compose",
     "dockerfile",
@@ -20,74 +26,78 @@
     },
     {
       "matchManagers": ["docker-compose"],
-      "matchPackagePatterns": ["postgres"],
       "matchCurrentVersion": "/^13\\..+$/",
-      "allowedVersions": "/^13\\..+$/"
+      "allowedVersions": "/^13\\..+$/",
+      "matchPackageNames": ["/postgres/"]
+    },
+    {
+      "addLabels": ["pyspark"],
+      "matchPackageNames": ["/spark/"]
     },
     {
-      "matchPackagePrefixes": ["clickhouse"],
-      "addLabels": ["clickhouse"]
+      "addLabels": ["clickhouse"],
+      "matchPackageNames": ["/clickhouse/"]
     },
     {
-      "matchPackagePatterns": ["datafusion"],
-      "addLabels": ["datafusion"]
+      "addLabels": ["datafusion"],
+      "matchPackageNames": ["/datafusion/"]
     },
     {
-      "matchPackagePatterns": [
-        "db-dtypes",
-        "google-cloud-bigquery",
-        "google-cloud-bigquery-storage",
-        "pydata-google-auth"
-      ],
-      "addLabels": ["bigquery"]
+      "addLabels": ["bigquery"],
+      "matchPackageNames": [
+        "/db-dtypes/",
+        "/google-cloud-bigquery/",
+        "/google-cloud-bigquery-storage/",
+        "/pydata-google-auth/"
+      ]
     },
     {
-      "matchPackagePatterns": ["duckdb"],
-      "addLabels": ["duckdb"]
+      "addLabels": ["duckdb"],
+      "matchPackageNames": ["/duckdb/"]
     },
     {
-      "matchPackagePatterns": ["impyla", "impala", "kudu"],
-      "addLabels": ["impala"]
+      "addLabels": ["impala"],
+      "matchPackageNames": ["/impyla/", "/impala/", "/kudu/"]
     },
     {
-      "matchPackagePatterns": ["oracledb", "oracle-free"],
-      "addLabels": ["oracle"]
+      "addLabels": ["oracle"],
+      "matchPackageNames": ["/oracledb/", "/oracle-free/"]
     },
     {
-      "matchPackagePatterns": ["polars"],
-      "addLabels": ["polars"]
+      "addLabels": ["polars"],
+      "matchPackageNames": ["/polars/"]
     },
     {
-      "matchPackagePatterns": ["psycopg2", "postgres"],
-      "addLabels": ["postgres"]
+      "addLabels": ["postgres"],
+      "matchPackageNames": ["/psycopg2/", "/postgres/"]
     },
     {
-      "matchPackagePatterns": ["pydruid", "zookeeper", "druid"],
-      "addLabels": ["druid"]
+      "addLabels": ["druid"],
+      "matchPackageNames": ["/pydruid/", "/zookeeper/", "/druid/"]
     },
     {
-      "matchPackagePatterns": ["mysqlclient", "mariadb"],
-      "addLabels": ["mysql"]
+      "addLabels": ["mysql"],
+      "matchPackageNames": ["/mysqlclient/", "/mariadb/"]
     },
     {
-      "matchPackagePatterns": ["pymssql", "mssql"],
-      "addLabels": ["mssql"]
+      "addLabels": ["mssql"],
+      "matchPackageNames": ["/pymssql/", "/mssql/"]
     },
     {
-      "matchPackagePatterns": ["pyspark"],
-      "addLabels": ["pyspark"]
+      "addLabels": ["pyspark"],
+      "matchPackageNames": ["/pyspark/"]
     },
     {
-      "matchPackagePatterns": ["risingwave"],
-      "addLabels": ["risingwave"]
+      "addLabels": ["risingwave"],
+      "matchPackageNames": ["/risingwave/"]
     },
     {
-      "matchPackagePatterns": ["snowflake-connector-python"],
-      "addLabels": ["snowflake"]
+      "addLabels": ["snowflake"],
+      "matchPackageNames": ["/snowflake-connector-python/"]
     },
     {
-      "matchPackagePatterns": ["trino", "minio"],
-      "addLabels": ["trino"]
+      "addLabels": ["trino"],
+      "matchPackageNames": ["/trino/", "/minio/"]
     },
     {
       "matchDepTypes": ["dev"],
diff --git a/.github/workflows/assign.yml b/.github/workflows/assign.yml
index b99109488bc78..6c373483fc9ae 100644
--- a/.github/workflows/assign.yml
+++ b/.github/workflows/assign.yml
@@ -10,6 +10,6 @@ jobs:
     runs-on: ubuntu-latest
     if: github.event.comment.body == '/take'
     steps:
-      - uses: pozil/auto-assign-issue@v2.0.0
+      - uses: pozil/auto-assign-issue@v2.0.1
         with:
           assignees: ${{ github.event.comment.user.login }}
diff --git a/.github/workflows/check-generated-files.yml b/.github/workflows/check-generated-files.yml
index 1f5614be4147b..6fc30b4095b69 100644
--- a/.github/workflows/check-generated-files.yml
+++ b/.github/workflows/check-generated-files.yml
@@ -39,14 +39,14 @@ jobs:
         uses: actions/setup-python@v5
         id: install_python
         with:
-          python-version: "3.12"
+          python-version: "3.13"
           cache: pip
           cache-dependency-path: requirements-dev.txt
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
+        uses: astral-sh/setup-uv@v5.1.0
         with:
-          enable-cache: true
+          version: "0.4.x"
 
       - name: update apt-get
         run: sudo apt-get update -y -q
@@ -73,7 +73,7 @@ jobs:
       - name: upload code coverage
         if: success()
         continue-on-error: true
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           flags: core,${{ runner.os }},python-${{ steps.install_python.outputs.python-version }}
           token: ${{ secrets.CODECOV_TOKEN }}
diff --git a/.github/workflows/create-rotate-key-issue.yml b/.github/workflows/create-rotate-key-issue.yml
index 3e62ec8c2ecb2..b356cbc6d6b96 100644
--- a/.github/workflows/create-rotate-key-issue.yml
+++ b/.github/workflows/create-rotate-key-issue.yml
@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Generate a GitHub token
-        uses: actions/create-github-app-token@v1.11.0
+        uses: actions/create-github-app-token@v1.11.1
         id: generate_token
         with:
           app-id: ${{ secrets.SQUAWK_BOT_APP_ID }}
diff --git a/.github/workflows/docs-preview.yml b/.github/workflows/docs-preview.yml
index e3cf43b0c337d..fea3169fda8e4 100644
--- a/.github/workflows/docs-preview.yml
+++ b/.github/workflows/docs-preview.yml
@@ -13,7 +13,7 @@ jobs:
       cancel-in-progress: true
     if: github.event.label.name == 'docs-preview'
     steps:
-      - uses: actions/create-github-app-token@v1.11.0
+      - uses: actions/create-github-app-token@v1.11.1
         id: generate_token
         with:
           app-id: ${{ secrets.DOCS_BOT_APP_ID }}
diff --git a/.github/workflows/ibis-backends-cloud.yml b/.github/workflows/ibis-backends-cloud.yml
index 120918b995ef9..9d315004207ba 100644
--- a/.github/workflows/ibis-backends-cloud.yml
+++ b/.github/workflows/ibis-backends-cloud.yml
@@ -36,7 +36,7 @@ jobs:
       matrix:
         python-version:
           - "3.10"
-          - "3.12"
+          - "3.13"
         backend:
           - name: snowflake
             title: Snowflake
@@ -53,7 +53,7 @@ jobs:
               title: BigQuery
               extras:
                 - --extra bigquery
-          - python-version: "3.12"
+          - python-version: "3.13"
             backend:
               name: bigquery
               title: BigQuery
@@ -93,7 +93,7 @@ jobs:
           fetch-depth: 0
           ref: ${{ github.event.pull_request.head.sha }}
 
-      - uses: actions/create-github-app-token@v1.11.0
+      - uses: actions/create-github-app-token@v1.11.1
         id: generate_token
         with:
           app-id: ${{ secrets.DOCS_BOT_APP_ID }}
@@ -113,9 +113,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
-        with:
-          enable-cache: true
+        uses: astral-sh/setup-uv@v5.1.0
 
       - name: install additional deps
         if: matrix.backend.key == 'snowpark'
@@ -175,7 +173,7 @@ jobs:
       - name: upload code coverage
         if: success()
         continue-on-error: true
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           flags: backend,${{ matrix.backend.name }},${{ runner.os }},python-${{ steps.install_python.outputs.python-version }}
           token: ${{ secrets.CODECOV_TOKEN }}
diff --git a/.github/workflows/ibis-backends.yml b/.github/workflows/ibis-backends.yml
index 9a1b0fa742491..193fd68602ad3 100644
--- a/.github/workflows/ibis-backends.yml
+++ b/.github/workflows/ibis-backends.yml
@@ -53,7 +53,7 @@ jobs:
           - windows-latest
         python-version:
           - "3.10"
-          - "3.12"
+          - "3.13"
     steps:
       - name: checkout
         uses: actions/checkout@v4
@@ -65,9 +65,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
-        with:
-          enable-cache: true
+        uses: astral-sh/setup-uv@v5.1.0
 
       - uses: extractions/setup-just@v2
         env:
@@ -79,7 +77,7 @@ jobs:
       - name: upload code coverage
         if: success()
         continue-on-error: true
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           flags: backend,bigquery,${{ runner.os }},python-${{ steps.install_python.outputs.python-version }}
           token: ${{ secrets.CODECOV_TOKEN }}
@@ -95,7 +93,7 @@ jobs:
           - windows-latest
         python-version:
           - "3.10"
-          - "3.12"
+          - "3.13"
         backend:
           - name: duckdb
             title: DuckDB
@@ -258,7 +256,42 @@ jobs:
               sys-deps:
                 - cmake
                 - ninja-build
+          # pytorch wheel doesn't exist for windows + python 3.13, so test
+          # against 3.12 until that's shipped
+          - os: windows-latest
+            python-version: "3.12"
+            backend:
+              name: duckdb
+              title: DuckDB
+              serial: true
+              extras:
+                - --extra duckdb
+                - --extra deltalake
+                - --extra geospatial
+                - --extra examples
+                - --extra decompiler
+                - --extra polars
+            additional_deps:
+              - torch
+          # also test duckdb with python 3.13 on windows, *without* pytorch
+          - os: windows-latest
+            python-version: "3.13"
+            backend:
+              name: duckdb
+              title: DuckDB
+              serial: true
+              extras:
+                - --extra duckdb
+                - --extra deltalake
+                - --extra geospatial
+                - --extra examples
+                - --extra decompiler
+                - --extra polars
         exclude:
+          - os: windows-latest
+            python-version: "3.13"
+            backend:
+              name: duckdb
           - os: windows-latest
             backend:
               name: mysql
@@ -317,7 +350,7 @@ jobs:
                 - libgeos-dev
           # TODO(deepyaman): Test whether this works upon releasing https://github.com/cloudera/impyla/commit/bf1f94c3c4106ded6267d2485c1e939775a6a87f
           - os: ubuntu-latest
-            python-version: "3.12"
+            python-version: "3.13"
             backend:
               name: impala
               title: Impala
@@ -383,7 +416,7 @@ jobs:
               services:
                 - oracle
           - os: ubuntu-latest
-            python-version: "3.12"
+            python-version: "3.13"
             backend:
               name: flink
               title: Flink
@@ -452,9 +485,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
-        with:
-          enable-cache: true
+        uses: astral-sh/setup-uv@v5.1.0
 
       - name: install other deps
         if: matrix.backend.additional_deps != null
@@ -498,7 +529,7 @@ jobs:
       - name: upload code coverage
         if: success()
         continue-on-error: true
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           flags: backend,${{ matrix.backend.name }},${{ runner.os }},python-${{ steps.install_python.outputs.python-version }}
           token: ${{ secrets.CODECOV_TOKEN }}
@@ -526,7 +557,7 @@ jobs:
             tag: local
             deps:
               - delta-spark==3.2.1
-          - python-version: "3.12"
+          - python-version: "3.13"
             pyspark-minor-version: "3.5"
             tag: local
             deps:
@@ -569,9 +600,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
-        with:
-          enable-cache: true
+        uses: astral-sh/setup-uv@v5.1.0
 
         # it requires a version of pandas that pyspark is not compatible with
       - name: remove lonboard
@@ -603,7 +632,7 @@ jobs:
         # only upload coverage for jobs that aren't mostly xfails
         if: success()
         continue-on-error: true
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           flags: backend,pyspark,${{ runner.os }},python-${{ steps.install_python.outputs.python-version }}
           token: ${{ secrets.CODECOV_TOKEN }}
diff --git a/.github/workflows/ibis-benchmarks.yml b/.github/workflows/ibis-benchmarks.yml
index bfeb07bdc238f..09683f481d0d8 100644
--- a/.github/workflows/ibis-benchmarks.yml
+++ b/.github/workflows/ibis-benchmarks.yml
@@ -30,9 +30,7 @@ jobs:
           python-version: "3.11"
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
-        with:
-          enable-cache: true
+        uses: astral-sh/setup-uv@v5.1.0
 
       - name: install system dependencies
         run: sudo apt-get install -qq -y build-essential libgeos-dev freetds-dev unixodbc-dev
diff --git a/.github/workflows/ibis-main.yml b/.github/workflows/ibis-main.yml
index bb805518282d2..800e5745af176 100644
--- a/.github/workflows/ibis-main.yml
+++ b/.github/workflows/ibis-main.yml
@@ -49,6 +49,7 @@ jobs:
           - "3.10"
           - "3.11"
           - "3.12"
+          - "3.13"
         pyarrow:
           - true
           - false
@@ -63,9 +64,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
-        with:
-          enable-cache: true
+        uses: astral-sh/setup-uv@v5.1.0
 
       - name: install ${{ matrix.os }} system dependencies
         if: matrix.os == 'ubuntu-latest'
@@ -102,7 +101,7 @@ jobs:
       - name: upload code coverage
         if: success()
         continue-on-error: true
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           flags: core,${{ runner.os }},python-${{ steps.install_python.outputs.python-version }}
           token: ${{ secrets.CODECOV_TOKEN }}
@@ -118,12 +117,10 @@ jobs:
         uses: actions/setup-python@v5
         id: install_python
         with:
-          python-version: "3.12"
+          python-version: "3.13"
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
-        with:
-          enable-cache: true
+        uses: astral-sh/setup-uv@v5.1.0
 
       - name: install system dependencies
         run: |
@@ -156,9 +153,7 @@ jobs:
           python-version: "3.10"
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
-        with:
-          enable-cache: true
+        uses: astral-sh/setup-uv@v5.1.0
 
       - uses: extractions/setup-just@v2
         env:
@@ -173,7 +168,7 @@ jobs:
       - name: upload code coverage
         if: success()
         continue-on-error: true
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
         with:
           flags: core,doctests,${{ runner.os }},python-${{ steps.install_python.outputs.python-version }}
           token: ${{ secrets.CODECOV_TOKEN }}
diff --git a/.github/workflows/nix-skip-helper.yml b/.github/workflows/nix-skip-helper.yml
index 19547c1584a05..5b8e90b1e63b2 100644
--- a/.github/workflows/nix-skip-helper.yml
+++ b/.github/workflows/nix-skip-helper.yml
@@ -32,14 +32,16 @@ jobs:
       matrix:
         os:
           - ubuntu-latest # x86_64-linux
+          - ubuntu-arm64-24.04 # aarch64-linux
+          - macos-13 # x86_64-darwin
+          - macos-14 # aarch64-darwin
         python-version:
-          - "3.10"
-          - "3.11"
           - "3.12"
+          - "3.13"
         include:
-          - os: ubuntu-arm64-24.04
-            python-version: "3.12"
-          - os: macos-14
+          - os: ubuntu-latest
             python-version: "3.10"
+          - os: ubuntu-latest
+            python-version: "3.11"
     steps:
       - run: echo "No build required"
diff --git a/.github/workflows/nix.yml b/.github/workflows/nix.yml
index 088a8c675b945..7b70b2ed7c7f0 100644
--- a/.github/workflows/nix.yml
+++ b/.github/workflows/nix.yml
@@ -34,15 +34,17 @@ jobs:
       matrix:
         os:
           - ubuntu-latest # x86_64-linux
+          - ubuntu-arm64-24.04 # aarch64-linux
+          - macos-13 # x86_64-darwin
+          - macos-14 # aarch64-darwin
         python-version:
-          - "3.10"
-          - "3.11"
           - "3.12"
+          - "3.13"
         include:
-          - os: ubuntu-arm64-24.04 # aarch64-linux
-            python-version: "3.12"
-          - os: macos-14 # aarch64-darwin
-            python-version: "3.12"
+          - os: ubuntu-latest
+            python-version: "3.10"
+          - os: ubuntu-latest
+            python-version: "3.11"
     steps:
       - name: checkout
         uses: actions/checkout@v4
@@ -61,16 +63,21 @@ jobs:
           authToken: ${{ secrets.CACHIX_AUTH_TOKEN }}
           extraPullNames: nix-community
 
-      - name: nix build and test
+      - name: nix build environment
         run: |
           set -euo pipefail
 
           version='${{ matrix.python-version }}'
           nix build ".#ibis${version//./}" --fallback --keep-going --print-build-logs
 
+      - name: nix test
+        run: |
+          set -euo pipefail
+
+          version='${{ matrix.python-version }}'
+          nix build ".#ibis${version//./}.passthru.tests.pytest" --fallback --keep-going --print-build-logs
+
       - name: nix build devShell
-        # TODO: dev shell doesn't yet build on macos-14 (aarch64-darwin)
-        continue-on-error: ${{ matrix.os == 'macos-14' }}
         run: |
           set -euo pipefail
 
diff --git a/.github/workflows/pre-release.yml b/.github/workflows/pre-release.yml
index 8d5d5db899222..d2470be56960e 100644
--- a/.github/workflows/pre-release.yml
+++ b/.github/workflows/pre-release.yml
@@ -27,12 +27,10 @@ jobs:
       - name: install python
         uses: actions/setup-python@v5
         with:
-          python-version: "3.12"
+          python-version: "3.13"
 
       - name: install uv
-        uses: astral-sh/setup-uv@v3.2.2
-        with:
-          enable-cache: true
+        uses: astral-sh/setup-uv@v5.1.0
 
       - uses: extractions/setup-just@v2
         env:
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 1b6971819a100..45df4c2b205ab 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -14,7 +14,7 @@ jobs:
   release:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/create-github-app-token@v1.11.0
+      - uses: actions/create-github-app-token@v1.11.1
         id: generate_token
         with:
           app-id: ${{ secrets.APP_ID }}
diff --git a/.github/workflows/update-nix-flakes.yml b/.github/workflows/update-nix-flakes.yml
index 39d77564835aa..80b5fa42dc16e 100644
--- a/.github/workflows/update-nix-flakes.yml
+++ b/.github/workflows/update-nix-flakes.yml
@@ -1,4 +1,4 @@
-name: update-flake-lock
+name: Update nix flakes
 on:
   workflow_dispatch:
   schedule:
@@ -11,9 +11,9 @@ jobs:
       - uses: actions/checkout@v4
 
       - name: install nix
-        uses: DeterminateSystems/nix-installer-action@v15
+        uses: DeterminateSystems/nix-installer-action@v16
 
-      - uses: actions/create-github-app-token@v1.11.0
+      - uses: actions/create-github-app-token@v1.11.1
         id: generate-token
         with:
           app-id: ${{ secrets.SQUAWK_BOT_APP_ID }}
diff --git a/.gitignore b/.gitignore
index 5389b17db1cd2..7de0c4419340c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -153,3 +153,7 @@ docs/**/*.html
 .jupyterlite.doit.db
 docs/jupyter_lite_config.json
 *.quarto_ipynb
+
+# pixi environments
+.pixi
+*.egg-info
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index db3d68911ace4..9501b971c706a 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -105,6 +105,7 @@ repos:
         name: shellcheck
         language: system
         entry: shellcheck
+        args: ["--shell", "bash"]
         types_or:
           - sh
           - shell
diff --git a/.releaserc.js b/.releaserc.js
index 53a28c9562a78..3ec1f04942032 100644
--- a/.releaserc.js
+++ b/.releaserc.js
@@ -65,8 +65,7 @@ module.exports = {
       {
         verifyConditionsCmd:
           "ci/release/verify_conditions.sh ${options.dryRun}",
-        // TODO(cpcloud): re-enable once deprecation removals for 10.0 are merged
-        // verifyReleaseCmd: "ci/release/verify_release.sh ${nextRelease.version}",
+        verifyReleaseCmd: "ci/release/verify_release.sh ${nextRelease.version}",
         prepareCmd: "ci/release/prepare.sh ${nextRelease.version}",
         publishCmd: "ci/release/publish.sh"
       }
diff --git a/README.md b/README.md
index d153e5ee1711e..423a0d3367380 100644
--- a/README.md
+++ b/README.md
@@ -16,7 +16,7 @@ Ibis is the portable Python dataframe library:
 - Lazy dataframe expressions
 - Interactive mode for iterative data exploration
 - [Compose Python dataframe and SQL code](#python--sql-better-together)
-- Use the same dataframe API for [20+ backends](#backends)
+- Use the same dataframe API for [nearly 20 backends](#backends)
 - Iterate locally and deploy remotely by [changing a single line of code](#portability)
 
 See the documentation on ["Why Ibis?"](https://ibis-project.org/why) to learn more.
diff --git a/compose.yaml b/compose.yaml
index 67e5298f28c02..dbf661937b3c2 100644
--- a/compose.yaml
+++ b/compose.yaml
@@ -1,6 +1,6 @@
 services:
   clickhouse:
-    image: clickhouse/clickhouse-server:24.10.1.2812-alpine
+    image: clickhouse/clickhouse-server:24.12.1.1614-alpine
     ports:
       - 8123:8123 # http port
       - 9000:9000 # native protocol port
@@ -28,7 +28,7 @@ services:
         - CMD
         - mariadb-admin
         - ping
-    image: mariadb:11.5.2
+    image: mariadb:11.6.2
     ports:
       - 3306:3306
     networks:
@@ -38,7 +38,6 @@ services:
       - $PWD/docker/mysql:/docker-entrypoint-initdb.d:ro
 
   postgres:
-    user: postgres
     environment:
       POSTGRES_PASSWORD: postgres
       POSTGRES_DB: ibis_testing
@@ -82,7 +81,7 @@ services:
       - mssql
 
   hive-metastore-db:
-    image: postgres:17.0-alpine
+    image: postgres:17.2-alpine
     environment:
       POSTGRES_USER: admin
       POSTGRES_PASSWORD: admin
@@ -99,7 +98,7 @@ services:
       - trino
 
   minio:
-    image: bitnami/minio:2024.11.7
+    image: bitnami/minio:2024.12.18
     environment:
       MINIO_ROOT_USER: accesskey
       MINIO_ROOT_PASSWORD: secretkey
@@ -161,7 +160,7 @@ services:
       test:
         - CMD-SHELL
         - trino --output-format null --execute 'show schemas in hive; show schemas in memory'
-    image: trinodb/trino:464
+    image: trinodb/trino:468
     ports:
       - 8080:8080
     networks:
@@ -172,7 +171,7 @@ services:
       - $PWD/docker/trino/jvm.config:/etc/trino/jvm.config:ro
 
   druid-postgres:
-    image: postgres:17.0-alpine
+    image: postgres:17.2-alpine
     container_name: druid-postgres
     environment:
       POSTGRES_PASSWORD: FoolishPassword
@@ -204,7 +203,7 @@ services:
       - druid
 
   druid-coordinator:
-    image: apache/druid:31.0.0
+    image: apache/druid:31.0.1
     hostname: coordinator
     container_name: coordinator
     volumes:
@@ -229,7 +228,7 @@ services:
       - druid
 
   druid-broker:
-    image: apache/druid:31.0.0
+    image: apache/druid:31.0.1
     hostname: broker
     container_name: broker
     volumes:
@@ -257,7 +256,7 @@ services:
       - druid
 
   druid-historical:
-    image: apache/druid:31.0.0
+    image: apache/druid:31.0.1
     hostname: historical
     container_name: historical
     volumes:
@@ -284,7 +283,7 @@ services:
       - druid
 
   druid-middlemanager:
-    image: apache/druid:31.0.0
+    image: apache/druid:31.0.1
     hostname: middlemanager
     container_name: middlemanager
     volumes:
@@ -312,7 +311,7 @@ services:
       - druid
 
   druid:
-    image: apache/druid:31.0.0
+    image: apache/druid:31.0.1
     hostname: router
     container_name: router
     volumes:
@@ -346,7 +345,7 @@ services:
       - druid
 
   oracle:
-    image: gvenzl/oracle-free:23.5-slim
+    image: gvenzl/oracle-free:23.6-slim
     environment:
       ORACLE_PASSWORD: ibis
       ORACLE_DATABASE: IBIS_TESTING
@@ -555,7 +554,7 @@ services:
       - impala
 
   risingwave:
-    image: ghcr.io/risingwavelabs/risingwave:v2.0.2
+    image: ghcr.io/risingwavelabs/risingwave:v2.1.0
     command: "standalone --meta-opts=\" \
       --advertise-addr 0.0.0.0:5690 \
       --backend mem \
@@ -588,7 +587,7 @@ services:
       - risingwave
 
   spark-connect:
-    image: bitnami/spark:3.5.3
+    image: bitnami/spark:3.5.4
     ports:
       - 15002:15002
     command: /opt/bitnami/spark/sbin/start-connect-server.sh --name ibis_testing --packages org.apache.spark:spark-connect_2.12:3.5.3,org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:1.6.1,io.delta:delta-core_2.12:2.1.0
diff --git a/docker/postgres/Dockerfile b/docker/postgres/Dockerfile
index 477d860d8b754..a47152507b982 100644
--- a/docker/postgres/Dockerfile
+++ b/docker/postgres/Dockerfile
@@ -1,12 +1,12 @@
-FROM postgis/postgis:16-3.5-alpine AS pgvector-builder
-RUN apk add --no-cache git build-base clang15 llvm15-dev llvm15
+FROM postgis/postgis:17-3.5-alpine AS pgvector-builder
+RUN apk add --no-cache git build-base clang19 llvm19-dev llvm19
 WORKDIR /tmp
-RUN git clone --branch v0.7.4 https://github.com/pgvector/pgvector.git
+RUN git clone --branch v0.8.0 https://github.com/pgvector/pgvector.git
 WORKDIR /tmp/pgvector
 RUN make && make install
 
-FROM postgis/postgis:16-3.5-alpine
-RUN apk add --no-cache postgresql16-plpython3
+FROM postgis/postgis:17-3.5-alpine
+RUN apk add --no-cache postgresql17-plpython3
 COPY --from=pgvector-builder /usr/local/lib/postgresql/bitcode/vector.index.bc /usr/local/lib/postgresql/bitcode/vector.index.bc
 COPY --from=pgvector-builder /usr/local/lib/postgresql/vector.so /usr/local/lib/postgresql/vector.so
 COPY --from=pgvector-builder /usr/local/share/postgresql/extension /usr/local/share/postgresql/extension
diff --git a/docs/backend_table_hiearchy.qmd b/docs/backend_table_hierarchy.qmd
similarity index 100%
rename from docs/backend_table_hiearchy.qmd
rename to docs/backend_table_hierarchy.qmd
diff --git a/docs/backends/_utils.py b/docs/backends/_utils.py
index 95ead52d470bf..4a0b1bdf89cf4 100644
--- a/docs/backends/_utils.py
+++ b/docs/backends/_utils.py
@@ -63,7 +63,7 @@ def render_method(*, member, renderer: MdRenderer) -> Iterator[str]:
     yield f"{header} {name} {{ #{member.path} }}"
     yield "\n"
     if params is not None:
-        yield f"`{name}({params})`"
+        yield f"`{name}({', '.join(params)})`"
     yield "\n"
 
     yield get_renderer(header_level + 1).render(find_member_with_docstring(member))
diff --git a/docs/backends/impala.qmd b/docs/backends/impala.qmd
index d715de75e0aa9..4de16db1b88d1 100644
--- a/docs/backends/impala.qmd
+++ b/docs/backends/impala.qmd
@@ -84,7 +84,6 @@ from _utils import get_backend, get_object, render_methods
 
 render_methods = partial(render_methods, level=4)
 backend = get_object("ibis.backends.impala", "Backend")
-table = get_object("ibis.backends.impala.client", "ImpalaTable")
 ```
 
 ## Database methods
@@ -97,8 +96,7 @@ render_methods(backend, "create_database", "drop_database", "list_databases")
 
 ## Table methods
 
-The `Backend` object itself has many helper utility methods. You'll
-find the most methods on `ImpalaTable`.
+The `Backend` object itself has many helper utility methods.
 
 ```{python}
 #| echo: false
@@ -117,20 +115,6 @@ render_methods(
 )
 ```
 
-The best way to interact with a single table is through the
-`ImpalaTable` object you get back from `Backend.table`.
-
-```{python}
-#| echo: false
-#| output: asis
-render_methods(
-    table,
-    "drop",
-    "insert",
-    "describe_formatted",
-)
-```
-
 ## Creating views
 
 ```{python}
@@ -187,9 +171,7 @@ import ibis
 client = ibis.impala.connect(host=host)
 ```
 
-You can accomplish many tasks directly through the client object, but we
-additionally provide APIs to streamline tasks involving a single Impala
-table or database.
+You can accomplish many tasks directly through the client object.
 
 ## Table objects
 
@@ -206,17 +188,6 @@ expression referencing a physical Impala table:
 table = client.table('functional_alltypes', database='ibis_testing')
 ```
 
-`ImpalaTable` is a Python subclass of the more general Ibis `Table`
-that has additional Impala-specific methods. So you can use it
-interchangeably with any code expecting a `Table`.
-
-While the client has a `drop_table` method you can use to drop tables,
-the table itself has a method `drop` that you can use:
-
-```python
-table.drop()
-```
-
 ## Expression execution
 
 Ibis expressions have execution methods like `to_pandas` that compile and run the
@@ -257,11 +228,11 @@ If you pass an Ibis expression to `create_table`, Ibis issues a
 `CREATE TABLE ... AS SELECT` (CTAS) statement:
 
 ```python
->>> table = db.table('functional_alltypes')
+>>> table = client.table('functional_alltypes')
 >>> expr = table.group_by('string_col').size()
->>> db.create_table('string_freqs', expr, format='parquet')
+>>> client.create_table('string_freqs', expr, format='parquet')
 
->>> freqs = db.table('string_freqs')
+>>> freqs = client.table('string_freqs')
 >>> freqs.to_pandas()
   string_col  count
 0          9    730
@@ -294,13 +265,12 @@ translated to the appropriate Impala schema and data types.
 As Ibis types are simplified compared with Impala types, this may expand
 in the future to include a more fine-grained schema declaration.
 
-You can use the `create_table` method either on a database or client
-object.
+You can use the `create_table` method on the client object.
 
 ```python
 schema = ibis.schema(dict(foo='string', year='int32', month='int16'))
 name = 'new_table'
-db.create_table(name, schema=schema)
+client.create_table(name, schema=schema)
 ```
 
 By default, this stores the data files in the database default location.
@@ -311,14 +281,14 @@ from getpass import getuser
 schema = ibis.schema(dict(foo='string', year='int32', month='int16'))
 name = 'new_table'
 location = '/home/{}/new-table-data'.format(getuser())
-db.create_table(name, schema=schema, location=location)
+client.create_table(name, schema=schema, location=location)
 ```
 
 If the schema matches a known table schema, you can always use the
 `schema` method to get a schema object:
 
 ```python
->>> t = db.table('functional_alltypes')
+>>> t = client.table('functional_alltypes')
 >>> t.schema()
 ibis.Schema {
   id               int32
@@ -345,7 +315,7 @@ used as the partition keys.
 ```python
 schema = ibis.schema(dict(foo='string', year='int32', month='int16'))
 name = 'new_table'
-db.create_table(name, schema=schema, partition=['year', 'month'])
+client.create_table(name, schema=schema, partition=['year', 'month'])
 ```
 
 ## Partitioned tables
@@ -355,7 +325,7 @@ each partition behaves as its own \"subtable\" sharing a common schema,
 each partition can have its own file format, directory path,
 serialization properties, and so forth.
 
-There are a handful of table methods for adding and removing partitions
+There are a handful of methods for adding and removing partitions
 and getting information about the partition schema and any existing
 partition data:
 
@@ -363,12 +333,11 @@ partition data:
 #| echo: false
 #| output: asis
 render_methods(
-    table,
+    backend,
     "add_partition",
     "drop_partition",
-    "is_partitioned",
-    "partition_schema",
-    "partitions",
+    "get_partition_schema",
+    "list_partitions",
 )
 ```
 
@@ -379,15 +348,13 @@ values, or pass a list of the partition values:
 ```python
 schema = ibis.schema(dict(foo='string', year='int32', month='int16'))
 name = 'new_table'
-db.create_table(name, schema=schema, partition=['year', 'month'])
+client.create_table(name, schema=schema, partition=['year', 'month'])
 
-table = db.table(name)
+client.add_partition(name, {'year': 2007, 'month', 4})
+client.add_partition(name, [2007, 5])
+client.add_partition(name, [2007, 6])
 
-table.add_partition({'year': 2007, 'month', 4})
-table.add_partition([2007, 5])
-table.add_partition([2007, 6])
-
-table.drop_partition([2007, 6])
+client.drop_partition(name, [2007, 6])
 ```
 
 We'll cover partition metadata management and data loading below.
@@ -398,13 +365,15 @@ If the schemas are compatible, you can insert into a table directly from
 an Ibis table expression:
 
 ```python
->>> t = db.functional_alltypes
->>> db.create_table('insert_test', schema=t.schema())
->>> target = db.table('insert_test')
+>>> t = client.functional_alltypes
+>>> client.create_table('insert_test', schema=t.schema())
+
+>>> client.insert('insert_test', t[:3])
+>>> client.insert('insert_test', t[:3])
+>>> client.insert('insert_test', t[:3])
+
+>>> target = client.table('insert_test')
 
->>> target.insert(t[:3])
->>> target.insert(t[:3])
->>> target.insert(t[:3])
 
 >>> target.to_pandas()
      id  bool_col  tinyint_col  ...           timestamp_col  year  month
@@ -419,8 +388,6 @@ an Ibis table expression:
 8  5772      True            2  ... 2010-08-01 00:02:00.100  2010      8
 
 [9 rows x 13 columns]
-
->>> target.drop()
 ```
 
 If the table is partitioned, you must indicate the partition you are
@@ -428,7 +395,7 @@ inserting into:
 
 ```python
 part = {'year': 2007, 'month': 4}
-table.insert(expr, partition=part)
+client.insert(table_name, expr, partition=part)
 ```
 
 ## Managing table metadata
@@ -439,17 +406,16 @@ metadata.
 ### Detailed table metadata: `DESCRIBE FORMATTED`
 
 To get a handy wrangled version of `DESCRIBE FORMATTED` use the
-`metadata` method.
+`describe_formatted` method.
 
 ```{python}
 #| echo: false
 #| output: asis
-render_methods(table, "metadata")
+render_methods(backend, "describe_formatted")
 ```
 
 ```python
->>> t = client.table('ibis_testing.functional_alltypes')
->>> meta = t.metadata()
+>>> meta = t.describe_formatted('functional_alltypes', database='ibis_testing')
 >>> meta
 <class 'ibis.backends.impala.metadata.TableMetadata'>
 {'info': {'CreateTime': datetime.datetime(2021, 1, 14, 21, 23, 8),
@@ -496,19 +462,17 @@ render_methods(table, "metadata")
 datetime.datetime(2021, 1, 14, 21, 23, 8)
 ```
 
-The `files` function is also available to see all of the physical HDFS
+The `show_files` function is also available to see all of the physical HDFS
 data files backing a table:
 
 ```{python}
 #| echo: false
 #| output: asis
-render_methods(table, "files")
+render_methods(backend, "show_files")
 ```
 
 ```python
->>> ss = c.table('tpcds_parquet.store_sales')
-
->>> ss.files()[:5]
+>>> client.show_files('store_sales', database='tpcds_parquet')[:5]
                                                 path      size  \
 0  hdfs://localhost:20500/test-warehouse/tpcds.st...  160.61KB
 1  hdfs://localhost:20500/test-warehouse/tpcds.st...  123.88KB
@@ -526,36 +490,18 @@ render_methods(table, "files")
 
 ### Modifying table metadata
 
-For unpartitioned tables, you can use the `alter` method to change its
-location, file format, and other properties. For partitioned tables, to
-change partition-specific metadata use `alter_partition`.
-
 ```{python}
 #| echo: false
 #| output: asis
-render_methods(table, "alter", "alter_partition")
-```
-
-For example, if you wanted to \"point\" an existing table at a directory
-of CSV files, you could run the following command:
-
-```python
-from getpass import getuser
-
-csv_props = {
-    'serialization.format': ',',
-    'field.delim': ',',
-}
-data_dir = '/home/{}/my-csv-files'.format(getuser())
-
-table.alter(location=data_dir, format='text', serde_properties=csv_props)
+render_methods(backend, "alter_partition")
 ```
 
-If the table is partitioned, you can modify only the properties of a
-particular partition:
+If a table is partitioned, you can modify the properties of a particular
+partition:
 
 ```python
-table.alter_partition(
+client.alter_partition(
+    'table_name',
     {'year': 2007, 'month': 5},
     location=data_dir,
     format='text',
@@ -570,7 +516,7 @@ table.alter_partition(
 ```{python}
 #| echo: false
 #| output: asis
-render_methods(table, "compute_stats")
+render_methods(backend, "compute_stats")
 ```
 
 Impala-backed physical tables have a method `compute_stats` that
@@ -579,14 +525,14 @@ query planning and optimization. It is standard practice to invoke this
 after creating a table or loading new data:
 
 ```python
-table.compute_stats()
+client.compute_stats('table_name')
 ```
 
 If you are using a recent version of Impala, you can also access the
 `COMPUTE INCREMENTAL STATS` DDL command:
 
 ```python
-table.compute_stats(incremental=True)
+client.compute_stats('table_name', incremental=True)
 ```
 
 ### Seeing table and column statistics
@@ -594,17 +540,16 @@ table.compute_stats(incremental=True)
 ```{python}
 #| echo: false
 #| output: asis
-render_methods(table, "column_stats", "stats")
+render_methods(backend, "column_stats", "table_stats")
 ```
 
-The `compute_stats` and `stats` functions return the results of
+The `compute_stats` and `table_stats` functions return the results of
 `SHOW COLUMN STATS` and `SHOW TABLE STATS`, respectively, and their
 output will depend, of course, on the last `COMPUTE STATS` call.
 
 ```python
->>> ss = c.table('tpcds_parquet.store_sales')
->>> ss.compute_stats(incremental=True)
->>> stats = ss.stats()
+>>> client.compute_stats('store_sales', database='tpcds_parquet', incremental=True)
+>>> stats = client.table_stats('store_sales', database='tpcds_parquet')
 >>> stats[:5]
   ss_sold_date_sk  #Rows  #Files     Size Bytes Cached Cache Replication  \
 0         2450829   1071       1  78.34KB   NOT CACHED        NOT CACHED
@@ -627,7 +572,7 @@ output will depend, of course, on the last `COMPUTE STATS` call.
 3  hdfs://localhost:20500/test-warehouse/tpcds.st...
 4  hdfs://localhost:20500/test-warehouse/tpcds.st...
 
->>> cstats = ss.column_stats()
+>>> cstats = client.column_status('store_sales', database='tpcds_parquet')
 >>> cstats
                    Column          Type  #Distinct Values  #Nulls  Max Size  Avg Size
 0         ss_sold_time_sk        BIGINT             13879      -1       NaN         8
@@ -657,14 +602,12 @@ output will depend, of course, on the last `COMPUTE STATS` call.
 
 ### `REFRESH` and `INVALIDATE METADATA`
 
-These DDL commands are available as table-level and client-level
-methods:
+These DDL commands are available as client-level methods:
 
 ```{python}
 #| echo: false
 #| output: asis
-render_methods(backend, "invalidate_metadata")
-render_methods(table, "invalidate_metadata", "refresh")
+render_methods(backend, "invalidate_metadata", "refresh")
 ```
 
 You can invalidate the cached metadata for a single table or for all
@@ -674,10 +617,9 @@ tables using `invalidate_metadata`, and similarly invoke
 ```python
 client.invalidate_metadata()
 
-table = db.table(table_name)
-table.invalidate_metadata()
+client.invalidate_metadata(table_name)
 
-table.refresh()
+client.refresh(table_name)
 ```
 
 These methods are often used in conjunction with the `LOAD DATA`
@@ -782,8 +724,7 @@ For example:
 
 >>> data = pd.DataFrame({'foo': [1, 2, 3, 4], 'bar': ['a', 'b', 'c', 'd']})
 
->>> db.create_table('pandas_table', data)
->>> t = db.pandas_table
+>>> t = client.create_table('pandas_table', data)
 >>> t.to_pandas()
   bar  foo
 0   a    1
@@ -791,12 +732,9 @@ For example:
 2   c    3
 3   d    4
 
->>> t.drop()
-
->>> db.create_table('empty_for_insert', schema=t.schema())
+>>> to_insert = client.create_table('empty_for_insert', schema=t.schema())
 
->>> to_insert = db.empty_for_insert
->>> to_insert.insert(data)
+>>> client.insert('empty_for_insert', data)
 >>> to_insert.to_pandas()
   bar  foo
 0   a    1
@@ -804,35 +742,6 @@ For example:
 2   c    3
 3   d    4
 
->>> to_insert.drop()
-```
-
-```python
->>> import pandas as pd
-
->>> data = pd.DataFrame({'foo': [1, 2, 3, 4], 'bar': ['a', 'b', 'c', 'd']})
-
->>> db.create_table('pandas_table', data)
->>> t = db.pandas_table
->>> t.to_pandas()
-   foo bar
-0    1   a
-1    2   b
-2    3   c
-3    4   d
-
->>> t.drop()
->>> db.create_table('empty_for_insert', schema=t.schema())
->>> to_insert = db.empty_for_insert
->>> to_insert.insert(data)
->>> to_insert.to_pandas()
-   foo bar
-0    1   a
-1    2   b
-2    3   c
-3    4   d
-
->>> to_insert.drop()
 ```
 
 ## Queries on Parquet, Avro, and Delimited files
diff --git a/docs/contribute/01_environment.qmd b/docs/contribute/01_environment.qmd
index a38d201c92d19..af4612987eb33 100644
--- a/docs/contribute/01_environment.qmd
+++ b/docs/contribute/01_environment.qmd
@@ -18,17 +18,16 @@ the `conda/mamba` setup and refer to the comment related to `arm64`
 architectures.
 :::
 
-## Conda/Mamba
+## Conda/Mamba/Pixi
 
 ### Support matrix [^conda-callout]
 
-|      Python Version {{< fa arrow-right >}} |                   Python 3.9 |   Python 3.10    |   Python 3.11    |
+|                                            |   Python 3.10                |   Python 3.11    |   Python 3.12    |
 | -----------------------------------------: | :--------------------------: | :--------------: | :--------------: |
-| **Operating System** {{< fa arrow-down >}} |                              |                  |                  |
 |                                  **Linux** | {{< fa check >}}[^supported] | {{< fa check >}} | {{< fa check >}} |
-|                         **macOS (x86_64)** |             {{< fa check >}} | {{< fa check >}} | {{< fa check >}} |
-|                        **macOS (aarch64)** |             {{< fa check >}} | {{< fa check >}} | {{< fa check >}} |
-|                                **Windows** |             {{< fa check >}} | {{< fa check >}} | {{< fa check >}} |
+|                         **macOS (x86_64)** | {{< fa check >}}             | {{< fa check >}} | {{< fa check >}} |
+|                        **macOS (aarch64)** | {{< fa check >}}             | {{< fa check >}} | {{< fa check >}} |
+|                                **Windows** | {{< fa check >}}             | {{< fa check >}} | {{< fa check >}} |
 
 ::: {.panel-tabset}
 
@@ -45,6 +44,10 @@ managers = {
         "name": "Mamba",
         "url": "https://github.com/mamba-org/mamba",
     },
+    "pixi": {
+        "name": "Pixi",
+        "url": "https://pixi.sh/latest/",
+    },
 }
 
 for manager, params in managers.items():
@@ -58,7 +61,10 @@ for manager, params in managers.items():
     print(f"1. Install `gh`")
     print()
     print("    ```sh")
-    print(f"    {manager} install -c conda-forge gh")
+    if manager == "conda" or manager == "mamba":
+        print(f"    {manager} install -c conda-forge gh")
+    elif manager == "pixi":
+        print(f"    {manager} global install gh")
     print("    ```")
     print()
     print(f"1. Fork and clone the ibis repository:")
@@ -67,29 +73,38 @@ for manager, params in managers.items():
     print("    gh repo fork --clone --remote ibis-project/ibis")
     print("    ```")
     print()
-    print(f"1. Create a Conda environment using `environment.yml`")
+    print(f"1. Create a {name} environment using `environment.yml`")
     print()
     print("    ```sh")
     print("    cd ibis")
-    print(f"    {manager} env create --file conda/environment.yml")
+    if manager == "conda" or manager == "mamba":
+        print(f"    {manager} env create --file conda/environment.yml")
+    elif manager == "pixi":
+        print(f"    {manager} init --import conda/environment.yml")
     print("    ```")
     print()
-    if manager == "conda" or manager == "mamba":
-        print()
-        print(
-            "    If you're using arm64 architecture (Mac M1/M2), use "
-            "`conda/environment-arm64.yml` for setting up a dev environment for all the "
-            "backends that are possible to install excluding Flink; use "
-            "`conda/environment-arm64-flink.yml` for setting up a dev environment for all "
-            "the backends that are possible to install including Flink. The reason to have "
-            "two separate environments is because `apache-flink` forces `pyarrow` to "
-            "downgrade to 11.0, which causes conflicts in other backends."
-        )
+    if manager == "pixi":
+        print("    This command will initialize a `pixi.toml` file and also modify ")
+        print("the `.gitignore` to prevent Pixi configuration from being added to ")
+        print("`git`.")
         print()
+    print(
+        "    If you're using arm64 architecture (Mac M1/M2), use "
+        "`conda/environment-arm64.yml` for setting up a dev environment for all the "
+        "backends that are possible to install excluding Flink; use "
+        "`conda/environment-arm64-flink.yml` for setting up a dev environment for all "
+        "the backends that are possible to install including Flink. The reason to have "
+        "two separate environments is because `apache-flink` forces `pyarrow` to "
+        "downgrade to 11.0, which causes conflicts in other backends."
+    )
+    print()
     print(f"1. Activate the environment")
     print()
     print("    ```sh")
-    print(f"    {manager} activate ibis-dev")
+    if manager == "conda" or manager == "mamba":
+        print(f"    {manager} activate ibis-dev")
+    elif manager == "pixi":
+        print(f"    {manager} shell")
     print("    ```")
     print()
     print(
@@ -97,7 +112,7 @@ for manager, params in managers.items():
     )
     print()
     print("    ```sh")
-    print("    pip install -e .")
+    print("    uv pip install -e .")
     print("    ```")
     print()
 ```
@@ -108,13 +123,13 @@ for manager, params in managers.items():
 
 ### Support matrix
 
-|      Python Version {{< fa arrow-right >}} |  Python 3.9                  |  Python 3.10              |   Python 3.11             |
-| -----------------------------------------: | :--------------------------: | :-----------------------: | :-----------------------: |
-| **Operating System** {{< fa arrow-down >}} |                              |                           |                           |
-|                                  **Linux** | {{< fa check >}}[^supported] | {{< fa check >}}          | {{< fa check >}}          |
-|                         **macOS (x86_64)** | {{< fa check >}}             | {{< fa check >}}          | {{< fa check >}}          |
-|                    **macOS (arm64/M1/M2)** | {{< fa ban >}}[^m1]          | {{< fa ban >}}[^m1]       | {{< fa ban >}}[^m1]       |
-|                                **Windows** | {{< fa ban >}}[^unlikely]    | {{< fa ban >}}[^unlikely] | {{< fa ban >}}[^unlikely] |
+|                          | Python 3.10                  | Python 3.11        | Python 3.12        | Python 3.13        |
+| -----------------------: | :--------------------------: | :----------------: | :----------------: | :----------------: |
+|       **Linux (x86_64)** | {{< fa check >}}[^supported] | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   |
+|        **Linux (arm64)** | {{< fa check >}}             | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   |
+|       **macOS (x86_64)** | {{< fa check >}}             | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   |
+|  **macOS (arm64/M1/M2)** | {{< fa check >}}             | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   |
+|              **Windows** | {{< fa ban >}}[^unlikely]    | {{< fa ban >}}     | {{< fa ban >}}     | {{< fa ban >}}     |
 
 1.  [Install `nix`](https://nixos.org/download.html)
 1.  Configure `nix`
@@ -165,6 +180,71 @@ for manager, params in managers.items():
     This will launch a `bash` shell with all of the required dependencies installed.
     This may take a while due to artifact download from the cache.
 
+## Container (uv)
+
+### Support matrix
+
+|                         | Python 3.10        | Python 3.11        | Python 3.12        | Python 3.13        |
+| ----------------------: | :----------------: | :----------------: | :----------------: | :----------------: |
+|               **Linux** | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   |
+|      **macOS (x86_64)** | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   |
+| **macOS (arm64/M1/M2)** | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   |
+|             **Windows** | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   | {{< fa check >}}   |
+
+1. Git clone the project repository.
+
+1. Install `Docker Desktop` for your platform.
+
+1. [Install `VS Code`](https://code.visualstudio.com/)
+
+1. [Install `VS Code Docker Extension`](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-docker)
+
+1. [Install `VS Code Dev Containers Extension`](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
+
+1. If using an Apple Silicon Mac, virtualization may be fastest with Colima.
+    1. [Install `Colima`](https://github.com/abiosoft/colima)
+    2. Verify that the disk allocation to Colima is satisfactory with `colima template --editor code`.
+    3. To use Colima for virtualization, `docker context use colima` or `export DOCKER_CONTEXT=colima`.
+    4. Verify that the Colima context is in effect with `docker context ls` (look for '*').
+    5. Start the Colima VM: `start colima`.
+    6. If you encounter disk resource issues after building images, `colima prune` or `colima delete` may be needed.
+
+    As an alternative to `Colima`, install Rosetta 2.
+
+    ```sh
+    softwareupdate --install-rosetta
+    ```
+
+1. In `VS Code`, open the project directory.
+
+1. Menu options for working with devcontainers are available through the blue `><`
+    button, at the lower left corner of the project window.
+
+    * Use `Reopen the container` to build an image and launch a container.
+    * Press any button to close the automatically launched terminal.
+    * Launch a new `VS Code` terminal from the main menu.
+    * The project will be in the container as an editable install with Ibis library,
+      dev and test dependencies installed, and with the working directory `/app`.
+
+1. Use `uv` commands such `uv pip list` to show the installed packages in the `uv`
+    .venv.
+
+1. Run non-`uv` commands in the virtual environment using `uv run`, for
+    example `uv run pytest -m core`. Standard `git` commands are available without
+    `uv run` because they do not need packages in the .venv to work.
+
+1. To exit a container, click the `Dev Container` button on the lower left of the
+    window and select the last menu option, `Close Remote Connection`.
+
+1. To ensure you have the latest dependencies from the main upstream branch based on
+    `pyproject.toml`:
+
+    * Exit any running container.
+    * Sync your fork.
+    * From your local Git repo, `git pull origin main`.
+    * Reopen the project in a new container.
+    * `Rebuild Container` to copy files from the local Git repo and have the build
+    run `uv sync`.
 
 ## pip
 
@@ -219,5 +299,4 @@ to build and serve the documentation.
 
 [^conda-callout]: Some optional dependencies for Windows and Mac OS are not available through `conda`/`mamba`
 [^supported]: Tested in CI. If this doesn't work for you, please [file an issue](https://github.com/ibis-project/ibis/issues/new).
-[^m1]: Not working as of March 2024. See https://github.com/ibis-project/ibis/issues/8696
 [^unlikely]: Unlikely to ever be supported or no upstream support.
diff --git a/docs/how-to/extending/unbound_expression.qmd b/docs/how-to/extending/unbound_expression.qmd
index 807bc86f3288a..70c9faedd46c7 100644
--- a/docs/how-to/extending/unbound_expression.qmd
+++ b/docs/how-to/extending/unbound_expression.qmd
@@ -107,7 +107,7 @@ con.table("results").to_pandas()
 
 Because Ibis separates the transformation logic from the execution engine, you
 can easily reuse the written transformation for another backend. Here we use
-Polars as an example, but you can do the same for any of Ibis' 20+ supported
+Polars as an example, but you can do the same for any of Ibis' nearly 20 supported
 backends as long as that particular backend supports the operations
 (see [the operation support matrix](../../backends/support/matrix.qmd)).
 
diff --git a/docs/index.qmd b/docs/index.qmd
index 5be4a9bd4dd83..59fb4a243f7c9 100644
--- a/docs/index.qmd
+++ b/docs/index.qmd
@@ -46,7 +46,7 @@ about:
 
 ### An open source dataframe library that works with any data system
 
-- Use the same API for 20+ backends
+- Use the same API for nearly 20 backends
 - Fast local dataframes with embedded DuckDB (default), Polars, or DataFusion
 - Iterate locally and deploy remotely by changing a single line of code
 - Compose SQL and Python dataframe code, bridging the gap between data engineering and data science
@@ -90,9 +90,9 @@ grouped  # <2>
 1. Transform the table.
 2. Display the transformed table.
 
-### One API for 20+ backends
+### One API for nearly 20 backends
 
-Use the same dataframe API for 20+ backends:
+Use the same dataframe API for nearly 20 backends:
 
 ```{python}
 #| code-fold: true
diff --git a/docs/posts/classification-metrics-on-the-backend/confusion_matrix.png b/docs/posts/classification-metrics-on-the-backend/confusion_matrix.png
new file mode 100644
index 0000000000000..7ca5bed71329c
Binary files /dev/null and b/docs/posts/classification-metrics-on-the-backend/confusion_matrix.png differ
diff --git a/docs/posts/classification-metrics-on-the-backend/index.qmd b/docs/posts/classification-metrics-on-the-backend/index.qmd
new file mode 100644
index 0000000000000..aead0742b4335
--- /dev/null
+++ b/docs/posts/classification-metrics-on-the-backend/index.qmd
@@ -0,0 +1,232 @@
+---
+title: "Classification metrics on the backend"
+author: "Tyler White"
+date: "2024-12-05"
+image: thumbnail.png
+categories:
+    - blog
+    - machine learning
+    - portability
+---
+
+A review of binary classification models, metrics used to evaluate them, and
+corresponding metric calculations with Ibis.
+
+We're going explore common classification metrics such as accuracy, precision, recall,
+and F1 score, demonstrating how to compute each one using Ibis. In this example, we'll
+use DuckDB, the default Ibis backend, but we could use this same code to execute
+against another backend such as Postgres or Snowflake. This capability is useful as it
+offers an easy and performant way to evaluate model performance without extracting data
+from the source system.
+
+## Classification models
+
+In machine learning, classification entails categorizing data into different groups.
+Binary classification, which is what we'll be covering in this post, specifically
+involves sorting data into only two distinct groups. For example, a model could
+differentiate between whether or not an email is spam.
+
+## Model evaluation
+
+It's important to validate the performance of the model to ensure it makes correct
+predictions consistently and doesn’t only perform well on the data it was trained on.
+These metrics help us understand not just the errors the model makes, but also the
+types of errors. For example, we might want to know if the model is more likely to
+predict a positive outcome when the actual outcome is negative.
+
+The easiest way to break down how this works is to look at a confusion matrix.
+
+### Confusion matrix
+
+A confusion matrix is a table used to describe the performance of a classification
+model on a set of data for which the true values are known. As binary classification
+only involves two categories, the confusion matrix only contains true positives, false
+positives, false negatives, and true negatives.
+
+![](confusion_matrix.png)
+
+Here's a breakdown of the terms with examples.
+
+True Positives (TP)
+: Correctly predicted positive examples.
+
+We guessed it was a spam email, and it was. This email is going straight to the junk
+folder.
+
+False Positives (FP)
+: Incorrectly predicted as positive.
+
+We guessed it was a spam email, but it actually wasn’t. Hopefully, the recipient
+doesn’t miss anything important as this email is going to the junk folder.
+
+False Negatives (FN)
+: Incorrectly predicted as negative.
+
+We didn't guess it was a spam email, but it really was. Hopefully, the recipient
+doesn’t click any links!
+
+True Negatives (TN)
+: Correctly predicted negative examples.
+
+We guessed it was not a spam email, and it actually was not. The recipient can read
+this email as intended.
+
+### Building a confusion matrix
+
+#### Sample dataset
+
+Let's create a sample dataset that includes twelve rows with two columns: `actual` and
+`prediction`. The `actual` column contains the true values, and the `prediction` column
+contains the model's predictions.
+
+```{python}
+
+from ibis.interactive import *
+
+t = ibis.memtable(
+    {
+        "id": range(1, 13),
+        "actual": [1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1],
+        "prediction": [1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1],
+    }
+)
+
+t
+```
+
+We can use the `case` function to create a new column that categorizes the outcomes.
+
+```{python}
+
+case_expr = (
+    ibis.case()
+    .when((_.actual == 0) & (_.prediction == 0), "TN")
+    .when((_.actual == 0) & (_.prediction == 1), "FP")
+    .when((_.actual == 1) & (_.prediction == 0), "FN")
+    .when((_.actual == 1) & (_.prediction == 1), "TP")
+    .end()
+)
+
+t = t.mutate(outcome=case_expr)
+
+t
+```
+
+To create the confusion matrix, we'll group by the outcome, count the occurrences, and
+use `pivot_wider`. Widening our data makes it possible to perform column-wise
+operations on the table expression for metric calculations.
+
+```{python}
+
+cm = (
+    t.group_by("outcome")
+    .agg(counted=_.count())
+    .pivot_wider(names_from="outcome", values_from="counted")
+    .select("TP", "FP", "FN", "TN")
+)
+
+cm
+```
+
+We can plot the confusion matrix to visualize the results.
+
+```{python}
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+data = cm.to_pyarrow().to_pydict()
+
+plt.figure(figsize=(6, 4))
+sns.heatmap(
+    [[data["TP"][0], data["FP"][0]], [data["FN"][0], data["TN"][0]]],
+    annot=True,
+    fmt="d",
+    cmap="Blues",
+    cbar=False,
+    xticklabels=["Predicted Positive", "Predicted Negative"],
+    yticklabels=["Actual Positive", "Actual Negative"],
+)
+plt.title("Confusion Matrix")
+plt.show()
+```
+
+Now that we've built a confusion matrix, we're able to more easily calculate a few
+common classification metrics.
+
+### Metrics
+
+Here are the metrics we'll calculate as well as a brief description of each.
+
+Accuracy
+: The proportion of correct predictions out of all predictions made. This measures the
+overall effectiveness of the model across all classes.
+
+Precision
+: The proportion of true positive predictions out of all positive predictions made.
+This tells us how many of the predicted positives were actually correct.
+
+Recall
+: The proportion of true positive predictions out of all actual positive examples. This
+measures how well the model identifies all actual positives.
+
+F1 Score
+: A metric that combines precision and recall into a single score by taking their
+weighted average. This balances the trade-off between precision and recall, making it
+especially useful for imbalanced datasets.
+
+We can calculate these metrics using the columns from the confusion matrix we created
+earlier.
+
+```{python}
+
+accuracy_expr = (_.TP + _.TN) / (_.TP + _.TN + _.FP + _.FN)
+precision_expr = _.TP / (_.TP + _.FP)
+recall_expr = _.TP / (_.TP + _.FN)
+f1_score_expr = 2 * (precision_expr * recall_expr) / (precision_expr + recall_expr)
+
+metrics = cm.select(
+    accuracy=accuracy_expr,
+    precision=precision_expr,
+    recall=recall_expr,
+    f1_score=f1_score_expr,
+)
+
+metrics
+```
+
+## A more efficient approach
+
+In the illustrative example above, we used a case expression and pivoted the data to
+demonstrate where the values would fall in the confusion matrix before performing our
+metric calculations using the pivoted data. We can actually skip this step using column
+aggregation.
+
+```{python}
+tp = (t.actual * t.prediction).sum()
+fp = t.prediction.sum() - tp
+fn = t.actual.sum() - tp
+tn = t.actual.count() - tp - fp - fn
+
+accuracy_expr = (t.actual == t.prediction).mean()
+precision_expr = tp / t.prediction.sum()
+recall_expr = tp / t.actual.sum()
+f1_score_expr = 2 * tp / (t.actual.sum() + t.prediction.sum())
+
+print(
+    f"accuracy={accuracy_expr.to_pyarrow().as_py()}",
+    f"precision={precision_expr.to_pyarrow().as_py()}",
+    f"recall_expr={recall_expr.to_pyarrow().as_py()}",
+    f"f1_score={f1_score_expr.to_pyarrow().as_py()}",
+    sep="\n",
+)
+```
+
+## Conclusion
+
+By pushing the computation down to the backend, the performance is as powerful as the
+backend we're connected to. This capability allows us to easily scale to different
+backends without modifying any code.
+
+We hope you give this a try and let us know how it goes. If you have any questions or
+feedback, please reach out to us on [GitHub](https://github.com/ibis-project) or
+[Zulip](https://ibis-project.zulipchat.com/).
diff --git a/docs/posts/classification-metrics-on-the-backend/thumbnail.png b/docs/posts/classification-metrics-on-the-backend/thumbnail.png
new file mode 100644
index 0000000000000..ae2f532962726
Binary files /dev/null and b/docs/posts/classification-metrics-on-the-backend/thumbnail.png differ
diff --git a/docs/tutorials/ibis-for-sql-users.qmd b/docs/tutorials/ibis-for-sql-users.qmd
index d3ccda0712ed4..85c606e4d2b97 100644
--- a/docs/tutorials/ibis-for-sql-users.qmd
+++ b/docs/tutorials/ibis-for-sql-users.qmd
@@ -151,7 +151,7 @@ ibis.to_sql(joined)
 
 If you pass a function instead of a string or Ibis expression in any projection
 context, it will be invoked with the "parent" table as its argument. This can
-help significantly when [composing complex operations. Consider this SQL:
+help significantly when composing complex operations. Consider this SQL:
 
 ```sql
 SELECT one, avg(abs(the_sum)) AS mad
diff --git a/docs/why.qmd b/docs/why.qmd
index cc80afab84a97..67ed1c483fbe8 100644
--- a/docs/why.qmd
+++ b/docs/why.qmd
@@ -3,7 +3,7 @@ title: "Why Ibis?"
 ---
 
 Ibis defines a Python dataframe API that executes on any query engine -- the
-frontend for any backend data platform, with 20+ backends today.  This allows
+frontend for any backend data platform, with nearly 20 backends today. This allows
 Ibis to have excellent performance -- as good as the backend it is connected to
 -- with a consistent user experience.
 
@@ -186,7 +186,7 @@ practitioners. It also allows organizations to:
 
 Python developers creating libraries can use Ibis to:
 
-- instantly support 20+ data backends
+- instantly support nearly 20 data backends
 - instantly support pandas, PyArrow, and Polars objects
 - read and write from all common file formats (depending on the backend)
 - trace column-level lineage through Ibis expressions
diff --git a/flake.lock b/flake.lock
index 1ea4df84e8195..366c6fe98581b 100644
--- a/flake.lock
+++ b/flake.lock
@@ -5,11 +5,11 @@
         "systems": "systems"
       },
       "locked": {
-        "lastModified": 1726560853,
-        "narHash": "sha256-X6rJYSESBVr3hBoH0WbKE5KvhPU5bloyZ2L4K60/fPQ=",
+        "lastModified": 1731533236,
+        "narHash": "sha256-l0KFg5HjrsfsO/JpG+r7fRrqm12kzFHyUHqHCVpMMbI=",
         "owner": "numtide",
         "repo": "flake-utils",
-        "rev": "c1dfcf08411b08f6b8615f7d8971a2bfa81d5e8a",
+        "rev": "11707dc2f618dd54ca8739b309ec4fc024de578b",
         "type": "github"
       },
       "original": {
@@ -40,11 +40,11 @@
     },
     "nixpkgs": {
       "locked": {
-        "lastModified": 1731215597,
-        "narHash": "sha256-9jLhAo5x2AixqITmqt0mR72OXdT3sCt8gIbiMrfHY/E=",
+        "lastModified": 1734796578,
+        "narHash": "sha256-EwEeMbvHgBrK8g6csRvlEGnAxz2uw4ghHGSt4NF68pQ=",
         "owner": "NixOS",
         "repo": "nixpkgs",
-        "rev": "343b0a2225308ff6b8f2a1638f8664bc4bc7037b",
+        "rev": "de99d3d3e3397d1c1bc67b0171420c56ea9d41a6",
         "type": "github"
       },
       "original": {
@@ -54,6 +54,32 @@
         "type": "github"
       }
     },
+    "pyproject-build-systems": {
+      "inputs": {
+        "nixpkgs": [
+          "nixpkgs"
+        ],
+        "pyproject-nix": [
+          "pyproject-nix"
+        ],
+        "uv2nix": [
+          "uv2nix"
+        ]
+      },
+      "locked": {
+        "lastModified": 1734141183,
+        "narHash": "sha256-bZQhcuk0C1OoVWQm0pH4rXXiUD6S6cB4GEWxFLKDa/I=",
+        "owner": "pyproject-nix",
+        "repo": "build-system-pkgs",
+        "rev": "8d629a268902659d5640a2c062ad2ad75615e6f8",
+        "type": "github"
+      },
+      "original": {
+        "owner": "pyproject-nix",
+        "repo": "build-system-pkgs",
+        "type": "github"
+      }
+    },
     "pyproject-nix": {
       "inputs": {
         "nixpkgs": [
@@ -61,11 +87,11 @@
         ]
       },
       "locked": {
-        "lastModified": 1731223003,
-        "narHash": "sha256-hFf8/IeZKPUubMC452Mm+JiAEnvcw/a4Cvn2bcpeJqs=",
+        "lastModified": 1734658408,
+        "narHash": "sha256-HdHkeJ506zKDOrCvsMoZllrOs1sol6bYbv1DifDtas0=",
         "owner": "nix-community",
         "repo": "pyproject.nix",
-        "rev": "359dd9cd562730bbd31ab164832aae4dacd9c302",
+        "rev": "139a84af40ed51c87f27708fcbe196bd6f189efd",
         "type": "github"
       },
       "original": {
@@ -79,6 +105,7 @@
         "flake-utils": "flake-utils",
         "gitignore": "gitignore",
         "nixpkgs": "nixpkgs",
+        "pyproject-build-systems": "pyproject-build-systems",
         "pyproject-nix": "pyproject-nix",
         "uv2nix": "uv2nix"
       }
@@ -108,11 +135,11 @@
         ]
       },
       "locked": {
-        "lastModified": 1731223088,
-        "narHash": "sha256-qkij76/APgVXsgagQ0z0lTy3qeorfTuY5S91tzROSe0=",
+        "lastModified": 1734695764,
+        "narHash": "sha256-q2kdbCtNH4dZpJA67AF1iOWinlvWvwKwvRyme9kjGuQ=",
         "owner": "adisbladis",
         "repo": "uv2nix",
-        "rev": "638bb9e42147ebd6344053b20f05516b7b4674d7",
+        "rev": "3aeef7d1292ce5b7f6ff6c4934298b9b2626ec06",
         "type": "github"
       },
       "original": {
diff --git a/flake.nix b/flake.nix
index 6d0e729646d06..156774dd23559 100644
--- a/flake.nix
+++ b/flake.nix
@@ -23,6 +23,15 @@
         nixpkgs.follows = "nixpkgs";
       };
     };
+
+    pyproject-build-systems = {
+      url = "github:pyproject-nix/build-system-pkgs";
+      inputs = {
+        pyproject-nix.follows = "pyproject-nix";
+        uv2nix.follows = "uv2nix";
+        nixpkgs.follows = "nixpkgs";
+      };
+    };
   };
 
   outputs =
@@ -32,11 +41,12 @@
     , nixpkgs
     , pyproject-nix
     , uv2nix
+    , pyproject-build-systems
     , ...
     }: {
       overlays.default = nixpkgs.lib.composeManyExtensions [
         gitignore.overlay
-        (import ./nix/overlay.nix { inherit uv2nix pyproject-nix; })
+        (import ./nix/overlay.nix { inherit uv2nix pyproject-nix pyproject-build-systems; })
       ];
     } // flake-utils.lib.eachDefaultSystem (
       localSystem:
@@ -138,22 +148,31 @@
           '';
 
           GDAL_DATA = "${pkgs.gdal}/share/gdal";
+          PROJ_DATA = "${pkgs.proj}/share/proj";
 
           __darwinAllowLocalNetworking = true;
         };
       in
       rec {
         packages = {
-          default = packages.ibis312;
+          default = packages.ibis313;
 
-          inherit (pkgs) ibis310 ibis311 ibis312
+          inherit (pkgs) ibis310 ibis311 ibis312 ibis313
             update-lock-files check-release-notes-spelling;
         };
 
+        checks = {
+          ibis310-pytest = pkgs.ibis310.passthru.tests.pytest;
+          ibis311-pytest = pkgs.ibis311.passthru.tests.pytest;
+          ibis312-pytest = pkgs.ibis312.passthru.tests.pytest;
+          ibis313-pytest = pkgs.ibis313.passthru.tests.pytest;
+        };
+
         devShells = rec {
           ibis310 = mkDevShell pkgs.ibisDevEnv310;
           ibis311 = mkDevShell pkgs.ibisDevEnv311;
           ibis312 = mkDevShell pkgs.ibisDevEnv312;
+          ibis313 = mkDevShell pkgs.ibisDevEnv313;
 
           default = ibis312;
 
@@ -169,7 +188,14 @@
 
           release = pkgs.mkShell {
             name = "release";
-            packages = with pkgs; [ git uv nodejs_20 unzip gnugrep python3 ];
+            packages = with pkgs; [
+              git
+              uv
+              nodejs_20
+              unzip
+              gnugrep
+              (python3.withPackages (p: [ p.packaging ]))
+            ];
           };
         };
       }
diff --git a/ibis/backends/bigquery/converter.py b/ibis/backends/bigquery/converter.py
index d402d1d50ec32..b5f261be2f844 100644
--- a/ibis/backends/bigquery/converter.py
+++ b/ibis/backends/bigquery/converter.py
@@ -9,8 +9,7 @@ def convert_GeoSpatial(cls, s, dtype, pandas_type):
         import geopandas as gpd
         import shapely as shp
 
-        return gpd.GeoSeries(shp.from_wkb(s))
-
-    convert_Point = convert_LineString = convert_Polygon = convert_MultiLineString = (
-        convert_MultiPoint
-    ) = convert_MultiPolygon = convert_GeoSpatial
+        try:
+            return gpd.GeoSeries.from_wkt(s)
+        except shp.geos.GEOSException:
+            return gpd.GeoSeries.from_wkb(s)
diff --git a/ibis/backends/bigquery/tests/system/test_client.py b/ibis/backends/bigquery/tests/system/test_client.py
index df378c43e78d4..083bcbef34d7c 100644
--- a/ibis/backends/bigquery/tests/system/test_client.py
+++ b/ibis/backends/bigquery/tests/system/test_client.py
@@ -460,3 +460,32 @@ def test_geospatial_interactive(con, monkeypatch):
     )
     result = repr(expr)
     assert "POLYGON" in result
+
+
+def test_geom_from_pyarrow(con, monkeypatch):
+    shp = pytest.importorskip("shapely")
+
+    monkeypatch.setattr(ibis.options, "interactive", True)
+
+    data = pa.Table.from_pydict(
+        {
+            "id": [1, 2],
+            "location": [
+                shp.Point(1, 1).wkb,
+                shp.Point(2, 2).wkb,
+            ],
+        }
+    )
+
+    # Create table in BigQuery
+    name = gen_name("bq_test_geom")
+    schema = ibis.schema({"id": "int64", "location": "geospatial:geography;4326"})
+
+    t = con.create_table(name, data, schema=schema)
+
+    try:
+        assert repr(t)
+        assert len(t.to_pyarrow()) == 2
+        assert len(t.to_pandas()) == 2
+    finally:
+        con.drop_table(name)
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/difference/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/difference/out.sql
index 187362ed26763..6a35d9cfa05e1 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/difference/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/difference/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_difference(`t0`.`geog0`, `t0`.`geog1`) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_difference(`t0`.`geog0`, `t0`.`geog1`) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/intersection/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/intersection/out.sql
index ce7d7ef65299a..5dfd3ab8b9096 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/intersection/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/intersection/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_intersection(`t0`.`geog0`, `t0`.`geog1`) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_intersection(`t0`.`geog0`, `t0`.`geog1`) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/union/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/union/out.sql
index 8c0653404d5c1..2d55fe586ad86 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/union/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_binary/union/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_union(`t0`.`geog0`, `t0`.`geog1`) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_union(`t0`.`geog0`, `t0`.`geog1`) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_point/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_point/out.sql
index 07a4971817429..a7e6654275986 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_point/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_point/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_geogpoint(`t0`.`lon`, `t0`.`lat`) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_geogpoint(`t0`.`lon`, `t0`.`lat`) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_simplify/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_simplify/out.sql
index d8dbe16dd0fd3..e5d6f7d549ef2 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_simplify/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_simplify/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_simplify(`t0`.`geog`, 5.2) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_simplify(`t0`.`geog`, 5.2) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/buffer/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/buffer/out.sql
index d5f9e492997a7..70cb2b7cc3519 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/buffer/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/buffer/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_buffer(`t0`.`geog`, 5.2) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_buffer(`t0`.`geog`, 5.2) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/centroid/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/centroid/out.sql
index 2fde8567311f2..446af3e347eb3 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/centroid/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/centroid/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_centroid(`t0`.`geog`) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_centroid(`t0`.`geog`) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/end_point/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/end_point/out.sql
index b9f0848346dae..9bb5289851e17 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/end_point/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/end_point/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_endpoint(`t0`.`geog`) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_endpoint(`t0`.`geog`) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/point_n/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/point_n/out.sql
index 2975cc4a75bd2..0709638101060 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/point_n/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/point_n/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_pointn(`t0`.`geog`, 3) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_pointn(`t0`.`geog`, 3) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/start_point/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/start_point/out.sql
index 8bd74147fadd6..a4681f1837fdd 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/start_point/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary/start_point/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_startpoint(`t0`.`geog`) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_startpoint(`t0`.`geog`) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary_union/out.sql b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary_union/out.sql
index 9d358ff759b53..4729efce3601b 100644
--- a/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary_union/out.sql
+++ b/ibis/backends/bigquery/tests/unit/snapshots/test_compiler/test_geospatial_unary_union/out.sql
@@ -1,8 +1,3 @@
 SELECT
-  *
-  REPLACE (st_asbinary(`tmp`) AS `tmp`)
-FROM (
-  SELECT
-    st_union_agg(`t0`.`geog`) AS `tmp`
-  FROM `t` AS `t0`
-)
\ No newline at end of file
+  st_union_agg(`t0`.`geog`) AS `tmp`
+FROM `t` AS `t0`
\ No newline at end of file
diff --git a/ibis/backends/clickhouse/tests/test_select.py b/ibis/backends/clickhouse/tests/test_select.py
index 364284191ab00..afc3cd7a4784e 100644
--- a/ibis/backends/clickhouse/tests/test_select.py
+++ b/ibis/backends/clickhouse/tests/test_select.py
@@ -6,7 +6,6 @@
 from pytest import param
 
 import ibis
-from ibis.backends.tests.errors import ClickHouseDatabaseError
 
 cc = pytest.importorskip("clickhouse_connect")
 
@@ -189,16 +188,11 @@ def test_physical_table_reference_translate(alltypes, assert_sql):
 
 
 def test_non_equijoin(alltypes):
-    t = alltypes.limit(100)
+    t = alltypes.limit(10)
     t2 = t.view()
     expr = t.join(t2, t.tinyint_col < t2.timestamp_col.minute()).count()
-
-    # compilation should pass
-    expr.compile()
-
-    # while execution should fail since clickhouse doesn't support non-equijoin
-    with pytest.raises(ClickHouseDatabaseError, match="INVALID_JOIN_ON_EXPRESSION"):
-        expr.execute()
+    count = expr.to_pandas()
+    assert count == 45
 
 
 @pytest.mark.parametrize(
diff --git a/ibis/backends/datafusion/__init__.py b/ibis/backends/datafusion/__init__.py
index 733d6a772b484..1a3af336e5347 100644
--- a/ibis/backends/datafusion/__init__.py
+++ b/ibis/backends/datafusion/__init__.py
@@ -9,7 +9,6 @@
 
 import datafusion as df
 import pyarrow as pa
-import pyarrow.dataset as ds
 import pyarrow_hotfix  # noqa: F401
 import sqlglot as sg
 import sqlglot.expressions as sge
@@ -28,7 +27,7 @@
 from ibis.common.dispatch import lazy_singledispatch
 from ibis.expr.operations.udf import InputType
 from ibis.formats.pyarrow import PyArrowSchema, PyArrowType
-from ibis.util import deprecated, gen_name, normalize_filename, normalize_filenames
+from ibis.util import gen_name, normalize_filename, normalize_filenames, warn_deprecated
 
 try:
     from datafusion import ExecutionContext as SessionContext
@@ -88,37 +87,30 @@ def do_connect(
         Parameters
         ----------
         config
-            Mapping of table names to files or a `SessionContext`
+            Mapping of table names to files (deprecated in 10.0) or a `SessionContext`
             instance.
 
         Examples
         --------
+        >>> from datafusion import SessionContext
+        >>> ctx = SessionContext()
+        >>> _ = ctx.from_pydict({"a": [1, 2, 3]}, "mytable")
         >>> import ibis
-        >>> config = {
-        ...     "astronauts": "ci/ibis-testing-data/parquet/astronauts.parquet",
-        ...     "diamonds": "ci/ibis-testing-data/csv/diamonds.csv",
-        ... }
-        >>> con = ibis.datafusion.connect(config)
+        >>> con = ibis.datafusion.connect(ctx)
         >>> con.list_tables()
-        ['astronauts', 'diamonds']
-        >>> con.table("diamonds")
-        DatabaseTable: diamonds
-          carat   float64
-          cut     string
-          color   string
-          clarity string
-          depth   float64
-          table   float64
-          price   int64
-          x       float64
-          y       float64
-          z       float64
+        ['mytable']
         """
         if isinstance(config, SessionContext):
             (self.con, config) = (config, None)
         else:
             if config is not None and not isinstance(config, Mapping):
                 raise TypeError("Input to ibis.datafusion.connect must be a mapping")
+            elif config is not None and config:  # warn if dict is not empty
+                warn_deprecated(
+                    "Passing a mapping of tables names to files",
+                    as_of="10.0",
+                    instead="Please use the explicit `read_*` methods for the files you would like to load instead.",
+                )
             if SessionConfig is not None:
                 df_config = SessionConfig(
                     {"datafusion.sql_parser.dialect": "PostgreSQL"}
@@ -178,6 +170,57 @@ def _get_schema_using_query(self, query: str) -> sch.Schema:
 
         return PyArrowSchema.to_ibis(df.schema())
 
+    def _register(
+        self,
+        source: str | Path | pa.Table | pa.RecordBatch | pa.Dataset | pd.DataFrame,
+        table_name: str | None = None,
+        **kwargs: Any,
+    ) -> ir.Table:
+        import pandas as pd
+        import pyarrow.dataset as ds
+
+        if isinstance(source, (str, Path)):
+            first = str(source)
+        elif isinstance(source, pa.Table):
+            self.con.deregister_table(table_name)
+            self.con.register_record_batches(table_name, [source.to_batches()])
+            return self.table(table_name)
+        elif isinstance(source, pa.RecordBatch):
+            self.con.deregister_table(table_name)
+            self.con.register_record_batches(table_name, [[source]])
+            return self.table(table_name)
+        elif isinstance(source, ds.Dataset):
+            self.con.deregister_table(table_name)
+            self.con.register_dataset(table_name, source)
+            return self.table(table_name)
+        elif isinstance(source, pd.DataFrame):
+            return self.register(pa.Table.from_pandas(source), table_name, **kwargs)
+        else:
+            raise ValueError("`source` must be either a string or a pathlib.Path")
+
+        if first.startswith(("parquet://", "parq://")) or first.endswith(
+            ("parq", "parquet")
+        ):
+            return self.read_parquet(source, table_name=table_name, **kwargs)
+        elif first.startswith(("csv://", "txt://")) or first.endswith(
+            ("csv", "tsv", "txt")
+        ):
+            return self.read_csv(source, table_name=table_name, **kwargs)
+        else:
+            self._register_failure()
+            return None
+
+    def _register_failure(self):
+        import inspect
+
+        msg = ", ".join(
+            m[0] for m in inspect.getmembers(self) if m[0].startswith("read_")
+        )
+        raise ValueError(
+            f"Cannot infer appropriate read function for input, "
+            f"please call one of {msg} directly"
+        )
+
     def _register_builtin_udfs(self):
         from ibis.backends.datafusion import udfs
 
@@ -345,68 +388,6 @@ def get_schema(
         table = database.table(table_name)
         return sch.schema(table.schema)
 
-    @deprecated(
-        as_of="9.1",
-        instead="use the explicit `read_*` method for the filetype you are trying to read, e.g., read_parquet, read_csv, etc.",
-    )
-    def register(
-        self,
-        source: str | Path | pa.Table | pa.RecordBatch | pa.Dataset | pd.DataFrame,
-        table_name: str | None = None,
-        **kwargs: Any,
-    ) -> ir.Table:
-        return self._register(source, table_name, **kwargs)
-
-    def _register(
-        self,
-        source: str | Path | pa.Table | pa.RecordBatch | pa.Dataset | pd.DataFrame,
-        table_name: str | None = None,
-        **kwargs: Any,
-    ) -> ir.Table:
-        import pandas as pd
-
-        if isinstance(source, (str, Path)):
-            first = str(source)
-        elif isinstance(source, pa.Table):
-            self.con.deregister_table(table_name)
-            self.con.register_record_batches(table_name, [source.to_batches()])
-            return self.table(table_name)
-        elif isinstance(source, pa.RecordBatch):
-            self.con.deregister_table(table_name)
-            self.con.register_record_batches(table_name, [[source]])
-            return self.table(table_name)
-        elif isinstance(source, ds.Dataset):
-            self.con.deregister_table(table_name)
-            self.con.register_dataset(table_name, source)
-            return self.table(table_name)
-        elif isinstance(source, pd.DataFrame):
-            return self.register(pa.Table.from_pandas(source), table_name, **kwargs)
-        else:
-            raise ValueError("`source` must be either a string or a pathlib.Path")
-
-        if first.startswith(("parquet://", "parq://")) or first.endswith(
-            ("parq", "parquet")
-        ):
-            return self.read_parquet(source, table_name=table_name, **kwargs)
-        elif first.startswith(("csv://", "txt://")) or first.endswith(
-            ("csv", "tsv", "txt")
-        ):
-            return self.read_csv(source, table_name=table_name, **kwargs)
-        else:
-            self._register_failure()
-            return None
-
-    def _register_failure(self):
-        import inspect
-
-        msg = ", ".join(
-            m[0] for m in inspect.getmembers(self) if m[0].startswith("read_")
-        )
-        raise ValueError(
-            f"Cannot infer appropriate read function for input, "
-            f"please call one of {msg} directly"
-        )
-
     def _register_in_memory_table(self, op: ops.InMemoryTable) -> None:
         # self.con.register_table is broken, so we do this roundabout thing
         # of constructing a datafusion DataFrame, which has a side effect
diff --git a/ibis/backends/datafusion/tests/test_connect.py b/ibis/backends/datafusion/tests/test_connect.py
index 6b3773f8370f3..ff0ea2cf482af 100644
--- a/ibis/backends/datafusion/tests/test_connect.py
+++ b/ibis/backends/datafusion/tests/test_connect.py
@@ -25,13 +25,15 @@ def test_none_config():
 
 def test_str_config(name_to_path):
     config = {name: str(path) for name, path in name_to_path.items()}
-    conn = ibis.datafusion.connect(config)
+    with pytest.warns(FutureWarning):
+        conn = ibis.datafusion.connect(config)
     assert sorted(conn.list_tables()) == sorted(name_to_path)
 
 
 def test_path_config(name_to_path):
     config = name_to_path
-    conn = ibis.datafusion.connect(config)
+    with pytest.warns(FutureWarning):
+        conn = ibis.datafusion.connect(config)
     assert sorted(conn.list_tables()) == sorted(name_to_path)
 
 
diff --git a/ibis/backends/datafusion/tests/test_register.py b/ibis/backends/datafusion/tests/test_register.py
deleted file mode 100644
index de8bc971da470..0000000000000
--- a/ibis/backends/datafusion/tests/test_register.py
+++ /dev/null
@@ -1,72 +0,0 @@
-from __future__ import annotations
-
-import pathlib
-
-import pandas as pd
-import pyarrow as pa
-import pytest
-
-import ibis
-
-
-@pytest.fixture
-def conn():
-    return ibis.datafusion.connect()
-
-
-def test_read_csv(conn, data_dir):
-    t = conn.read_csv(data_dir / "csv" / "functional_alltypes.csv")
-    assert t.count().execute()
-
-
-@pytest.mark.parametrize(
-    "function",
-    [pathlib.Path, str],
-)
-def test_read_csv_path_list(conn, data_dir, function):
-    path = data_dir / "csv" / "functional_alltypes.csv"
-
-    t = conn.read_csv(path, table_name="alltypes1")
-    t2 = conn.read_csv([function(path), function(path)], table_name="alltypes2")
-
-    assert t2.schema() == t.schema()
-    assert t2.count().execute() == 2 * t.count().execute()
-
-
-def test_read_parquet(conn, data_dir):
-    t = conn.read_parquet(data_dir / "parquet" / "functional_alltypes.parquet")
-    assert t.count().execute()
-
-
-def test_register_table(conn):
-    tab = pa.table({"x": [1, 2, 3]})
-    conn.create_table("my_table", tab)
-    assert conn.table("my_table").x.sum().execute() == 6
-
-
-def test_register_pandas(conn):
-    df = pd.DataFrame({"x": [1, 2, 3]})
-    conn.create_table("my_table", df)
-    assert conn.table("my_table").x.sum().execute() == 6
-
-
-def test_register_batches(conn):
-    batch = pa.record_batch([pa.array([1, 2, 3])], names=["x"])
-    conn.create_table("my_table", batch)
-    assert conn.table("my_table").x.sum().execute() == 6
-
-
-def test_register_dataset(conn):
-    import pyarrow.dataset as ds
-
-    tab = pa.table({"x": [1, 2, 3]})
-    dataset = ds.InMemoryDataset(tab)
-    with pytest.warns(FutureWarning, match="v9.1"):
-        conn.register(dataset, "my_table")
-        assert conn.table("my_table").x.sum().execute() == 6
-
-
-def test_create_table_with_uppercase_name(conn):
-    tab = pa.table({"x": [1, 2, 3]})
-    conn.create_table("MY_TABLE", tab)
-    assert conn.table("MY_TABLE").x.sum().execute() == 6
diff --git a/ibis/backends/duckdb/__init__.py b/ibis/backends/duckdb/__init__.py
index 03c4639074431..ffe68f217b1c5 100644
--- a/ibis/backends/duckdb/__init__.py
+++ b/ibis/backends/duckdb/__init__.py
@@ -31,7 +31,6 @@
 from ibis.backends.sql.compilers.base import STAR, AlterTable, C, RenameTable
 from ibis.common.dispatch import lazy_singledispatch
 from ibis.expr.operations.udf import InputType
-from ibis.util import deprecated
 
 if TYPE_CHECKING:
     from collections.abc import Iterable, Mapping, MutableMapping, Sequence
@@ -366,6 +365,15 @@ def do_connect(
     ) -> None:
         """Create an Ibis client connected to a DuckDB database.
 
+        ::: {.callout-note title="Changed in version 10.0.0"}
+        Before, we had special handling if the user passed the `temp_directory`
+        parameter, setting a custom default, and creating intermediate
+        directories if necessary. Now, we do nothing, and just pass the value
+        directly to DuckDB. You may need to add
+        `Path(your_temp_dir).mkdir(exists_ok=True, parents=True)`
+        to your code to maintain the old behavior.
+        :::
+
         Parameters
         ----------
         database
@@ -483,77 +491,6 @@ def drop_database(
         with self._safe_raw_sql(sge.Drop(this=name, kind="SCHEMA", replace=force)):
             pass
 
-    @deprecated(
-        as_of="9.1",
-        instead="use the explicit `read_*` method for the filetype you are trying to read, e.g., read_parquet, read_csv, etc.",
-    )
-    def register(
-        self,
-        source: str | Path | Any,
-        table_name: str | None = None,
-        **kwargs: Any,
-    ) -> ir.Table:
-        """Register a data source as a table in the current database.
-
-        Parameters
-        ----------
-        source
-            The data source(s). May be a path to a file or directory of
-            parquet/csv files, an iterable of parquet or CSV files, a pandas
-            dataframe, a pyarrow table or dataset, or a postgres URI.
-        table_name
-            An optional name to use for the created table. This defaults to a
-            sequentially generated name.
-        **kwargs
-            Additional keyword arguments passed to DuckDB loading functions for
-            CSV or parquet.  See https://duckdb.org/docs/data/csv and
-            https://duckdb.org/docs/data/parquet for more information.
-
-        Returns
-        -------
-        ir.Table
-            The just-registered table
-
-        """
-
-        if isinstance(source, (str, Path)):
-            first = str(source)
-        elif isinstance(source, (list, tuple)):
-            first = source[0]
-        else:
-            try:
-                return self.read_in_memory(source, table_name=table_name, **kwargs)
-            except (duckdb.InvalidInputException, NameError):
-                self._register_failure()
-
-        if first.startswith(("parquet://", "parq://")) or first.endswith(
-            ("parq", "parquet")
-        ):
-            return self.read_parquet(source, table_name=table_name, **kwargs)
-        elif first.startswith(
-            ("csv://", "csv.gz://", "txt://", "txt.gz://")
-        ) or first.endswith(("csv", "csv.gz", "tsv", "tsv.gz", "txt", "txt.gz")):
-            return self.read_csv(source, table_name=table_name, **kwargs)
-        elif first.startswith(("postgres://", "postgresql://")):
-            return self.read_postgres(source, table_name=table_name, **kwargs)
-        elif first.startswith("sqlite://"):
-            return self.read_sqlite(
-                first[len("sqlite://") :], table_name=table_name, **kwargs
-            )
-        else:
-            self._register_failure()  # noqa: RET503
-
-    def _register_failure(self):
-        import inspect
-
-        msg = ", ".join(
-            name for name, _ in inspect.getmembers(self) if name.startswith("read_")
-        )
-        raise ValueError(
-            f"Cannot infer appropriate read function for input, "
-            f"please call one of {msg} directly"
-        )
-
     @util.experimental
     def read_json(
         self,
@@ -880,43 +817,6 @@ def _read_parquet_pyarrow_dataset(
         # by the time we execute against this so we register it
         # explicitly.
 
-    @util.deprecated(
-        instead="Pass in-memory data to `memtable` instead.",
-        as_of="9.1",
-        removed_in="10.0",
-    )
-    def read_in_memory(
-        self,
-        source: pd.DataFrame
-        | pa.Table
-        | pa.RecordBatchReader
-        | pl.DataFrame
-        | pl.LazyFrame,
-        table_name: str | None = None,
-    ) -> ir.Table:
-        """Register an in-memory table object in the current database.
-
-        Supported objects include pandas DataFrame, a Polars
-        DataFrame/LazyFrame, or a PyArrow Table or RecordBatchReader.
-
-        Parameters
-        ----------
-        source
-            The data source.
-        table_name
-            An optional name to use for the created table. This defaults to
-            a sequentially generated name.
-
-        Returns
-        -------
-        ir.Table
-            The just-registered table
-
-        """
-        table_name = table_name or util.gen_name("read_in_memory")
-        _read_in_memory(source, table_name, self)
-        return self.table(table_name)
-
     def read_delta(
         self,
         source_table: str,
@@ -1145,13 +1045,15 @@ def read_sqlite(
         >>> import ibis
         >>> import sqlite3
         >>> ibis.options.interactive = True
-        >>> with sqlite3.connect("/tmp/sqlite.db") as con:
+        >>> con = sqlite3.connect("/tmp/sqlite.db")
+        >>> with con:
         ...     con.execute("DROP TABLE IF EXISTS t")  # doctest: +ELLIPSIS
         ...     con.execute("CREATE TABLE t (a INT, b TEXT)")  # doctest: +ELLIPSIS
         ...     con.execute(
         ...         "INSERT INTO t VALUES (1, 'a'), (2, 'b'), (3, 'c')"
         ...     )  # doctest: +ELLIPSIS
         <...>
+        >>> con.close()
         >>> con = ibis.connect("duckdb://")
         >>> t = con.read_sqlite(path="/tmp/sqlite.db", table_name="t")
         >>> t
@@ -1239,13 +1141,15 @@ def attach_sqlite(
         --------
         >>> import ibis
         >>> import sqlite3
-        >>> with sqlite3.connect("/tmp/attach_sqlite.db") as con:
+        >>> con = sqlite3.connect("/tmp/attach_sqlite.db")
+        >>> with con:
         ...     con.execute("DROP TABLE IF EXISTS t")  # doctest: +ELLIPSIS
         ...     con.execute("CREATE TABLE t (a INT, b TEXT)")  # doctest: +ELLIPSIS
         ...     con.execute(
         ...         "INSERT INTO t VALUES (1, 'a'), (2, 'b'), (3, 'c')"
         ...     )  # doctest: +ELLIPSIS
         <...>
+        >>> con.close()
         >>> con = ibis.connect("duckdb://")
         >>> con.list_tables()
         []
@@ -1439,7 +1343,7 @@ def to_torch(
         *,
         params: Mapping[ir.Scalar, Any] | None = None,
         limit: int | str | None = None,
-        **kwargs: Any,
+        **_: Any,
     ) -> dict[str, torch.Tensor]:
         """Execute an expression and return results as a dictionary of torch tensors.
 
@@ -1750,7 +1654,7 @@ def _create_temp_view(self, table_name, source):
 
 
 @lazy_singledispatch
-def _read_in_memory(source: Any, table_name: str, _conn: Backend, **kwargs: Any):
+def _read_in_memory(source: Any, table_name: str, _conn: Backend, **_: Any):
     raise NotImplementedError(
         f"The `{_conn.name}` backend currently does not support "
         f"reading data of {type(source)!r}"
@@ -1762,12 +1666,12 @@ def _read_in_memory(source: Any, table_name: str, _conn: Backend, **kwargs: Any)
 @_read_in_memory.register("pyarrow.Table")
 @_read_in_memory.register("pandas.DataFrame")
 @_read_in_memory.register("pyarrow.dataset.Dataset")
-def _default(source, table_name, _conn, **kwargs: Any):
+def _default(source, table_name, _conn, **_: Any):
     _conn.con.register(table_name, source)
 
 
 @_read_in_memory.register("pyarrow.RecordBatchReader")
-def _pyarrow_rbr(source, table_name, _conn, **kwargs: Any):
+def _pyarrow_rbr(source, table_name, _conn, **_: Any):
     _conn.con.register(table_name, source)
     # Ensure the reader isn't marked as started, in case the name is
     # being overwritten.
diff --git a/ibis/backends/duckdb/tests/test_client.py b/ibis/backends/duckdb/tests/test_client.py
index f02af4f040b62..8477535fbd33a 100644
--- a/ibis/backends/duckdb/tests/test_client.py
+++ b/ibis/backends/duckdb/tests/test_client.py
@@ -413,10 +413,32 @@ def test_read_csv_with_types(tmp_path, input, all_varchar):
     assert t.schema()["geom"].is_geospatial()
 
 
-def test_memtable_doesnt_leak(con, monkeypatch):
-    monkeypatch.setattr(ibis.options, "default_backend", con)
-    name = "memtable_doesnt_leak"
+def test_memtable_doesnt_leak(con):
+    name = gen_name("memtable_doesnt_leak")
     assert name not in con.list_tables()
-    df = ibis.memtable({"a": [1, 2, 3]}, name=name).execute()
+    df = con.execute(ibis.memtable({"a": [1, 2, 3]}, name=name))
     assert name not in con.list_tables()
     assert len(df) == 3
+
+
+def test_pyarrow_batches_chunk_size(con):  # 10443
+    import numpy as np
+
+    t = ibis.memtable(
+        {
+            "id": np.arange(10_000),
+            "name": np.random.choice(["Alice", "Bob", "Carol", "Dave"], size=10_000),
+            "age": np.random.randint(20, 70, size=10_000),
+        }
+    )
+    batches = con.to_pyarrow_batches(t, chunk_size=4096)
+    assert len(next(batches)) == 4096
+    assert len(next(batches)) == 4096
+
+    batches = con.to_pyarrow_batches(t, chunk_size=800)
+    assert len(next(batches)) == 800
+    assert len(next(batches)) == 800
+
+    batches = con.to_pyarrow_batches(t, chunk_size=-1)
+    with pytest.raises(TypeError):
+        next(batches)
diff --git a/ibis/backends/duckdb/tests/test_register.py b/ibis/backends/duckdb/tests/test_io.py
similarity index 80%
rename from ibis/backends/duckdb/tests/test_register.py
rename to ibis/backends/duckdb/tests/test_io.py
index 0bb07c1d1f427..3367fda6c1279 100644
--- a/ibis/backends/duckdb/tests/test_register.py
+++ b/ibis/backends/duckdb/tests/test_io.py
@@ -2,7 +2,6 @@
 
 import os
 import sqlite3
-from pathlib import Path
 
 import duckdb
 import numpy as np
@@ -211,8 +210,12 @@ def test_read_mysql(con, mysqlurl):  # pragma: no cover
 def test_read_sqlite(con, tmp_path):
     path = tmp_path / "test.db"
 
-    sqlite_con = sqlite3.connect(str(path))
-    sqlite_con.execute("CREATE TABLE t AS SELECT 1 a UNION SELECT 2 UNION SELECT 3")
+    scon = sqlite3.connect(str(path))
+    try:
+        with scon:
+            scon.execute("CREATE TABLE t AS SELECT 1 a UNION SELECT 2 UNION SELECT 3")
+    finally:
+        scon.close()
 
     ft = con.read_sqlite(path, table_name="t")
     assert ft.count().execute()
@@ -221,26 +224,14 @@ def test_read_sqlite(con, tmp_path):
 def test_read_sqlite_no_table_name(con, tmp_path):
     path = tmp_path / "test.db"
 
-    sqlite3.connect(str(path))
+    scon = sqlite3.connect(str(path))
+    try:
+        assert path.exists()
 
-    assert path.exists()
-
-    with pytest.raises(ValueError):
-        con.read_sqlite(path)
-
-
-@pytest.mark.xfail(
-    LINUX and SANDBOXED,
-    reason="nix on linux cannot download duckdb extensions or data due to sandboxing",
-    raises=duckdb.IOException,
-)
-def test_register_sqlite(con, tmp_path):
-    path = tmp_path / "test.db"
-    sqlite_con = sqlite3.connect(str(path))
-    sqlite_con.execute("CREATE TABLE t AS SELECT 1 a UNION SELECT 2 UNION SELECT 3")
-    with pytest.warns(FutureWarning, match="v9.1"):
-        ft = con.register(f"sqlite://{path}", "t")
-    assert ft.count().execute()
+        with pytest.raises(ValueError):
+            con.read_sqlite(path)
+    finally:
+        scon.close()
 
 
 # Because we create a new connection and the test requires loading/installing a
@@ -253,56 +244,42 @@ def test_register_sqlite(con, tmp_path):
 def test_attach_sqlite(data_dir, tmp_path):
     import sqlite3
 
-    test_db_path = tmp_path / "test.db"
-    with sqlite3.connect(test_db_path) as scon:
-        for line in (
-            Path(data_dir.parent / "schema" / "sqlite.sql").read_text().split(";")
-        ):
-            scon.execute(line)
-
     # Create a new connection here because we already have the `ibis_testing`
     # tables loaded in to the `con` fixture.
     con = ibis.duckdb.connect()
 
-    con.attach_sqlite(test_db_path)
-    assert set(con.list_tables()) >= {
-        "functional_alltypes",
-        "awards_players",
-        "batting",
-        "diamonds",
-    }
-
-    fa = con.tables.functional_alltypes
-    assert len(set(fa.schema().types)) > 1
-
-    # overwrite existing sqlite_db and force schema to all strings
-    con.attach_sqlite(test_db_path, overwrite=True, all_varchar=True)
-    assert set(con.list_tables()) >= {
-        "functional_alltypes",
-        "awards_players",
-        "batting",
-        "diamonds",
-    }
-
-    fa = con.tables.functional_alltypes
-    types = fa.schema().types
-    assert len(set(types)) == 1
-    assert dt.String(nullable=True) in set(types)
-
+    test_db_path = tmp_path / "test.db"
+    scon = sqlite3.connect(test_db_path)
+    try:
+        with scon:
+            scon.executescript((data_dir.parent / "schema" / "sqlite.sql").read_text())
+
+        con.attach_sqlite(test_db_path)
+        assert set(con.list_tables()) >= {
+            "functional_alltypes",
+            "awards_players",
+            "batting",
+            "diamonds",
+        }
 
-def test_re_read_in_memory_overwrite(con):
-    df_pandas_1 = pd.DataFrame({"a": ["a"], "b": [1], "d": ["hi"]})
-    df_pandas_2 = pd.DataFrame({"a": [1], "c": [1.4]})
+        fa = con.tables.functional_alltypes
+        assert len(set(fa.schema().types)) > 1
 
-    with pytest.warns(FutureWarning, match="memtable"):
-        table = con.read_in_memory(df_pandas_1, table_name="df")
-    assert len(table.columns) == 3
-    assert table.schema() == ibis.schema([("a", "str"), ("b", "int"), ("d", "str")])
+        # overwrite existing sqlite_db and force schema to all strings
+        con.attach_sqlite(test_db_path, overwrite=True, all_varchar=True)
+        assert set(con.list_tables()) >= {
+            "functional_alltypes",
+            "awards_players",
+            "batting",
+            "diamonds",
+        }
 
-    with pytest.warns(FutureWarning, match="memtable"):
-        table = con.read_in_memory(df_pandas_2, table_name="df")
-    assert len(table.columns) == 2
-    assert table.schema() == ibis.schema([("a", "int"), ("c", "float")])
+        fa = con.tables.functional_alltypes
+        types = fa.schema().types
+        assert len(set(types)) == 1
+        assert dt.String(nullable=True) in set(types)
+    finally:
+        scon.close()
 
 
 def test_memtable_with_nullable_dtypes(con):
@@ -396,37 +373,24 @@ def test_s3_403_fallback(con, httpserver, monkeypatch):
 
 def test_register_numpy_str(con):
     data = pd.DataFrame({"a": [np.str_("xyz"), None]})
-    with pytest.warns(FutureWarning, match="memtable"):
-        result = con.read_in_memory(data)
-    tm.assert_frame_equal(result.execute(), data)
+    result = ibis.memtable(data)
+    tm.assert_frame_equal(con.execute(result), data)
 
 
-def test_register_recordbatchreader_warns(con):
+def test_memtable_recordbatchreader_raises(con):
     table = pa.Table.from_batches(
-        [
-            pa.RecordBatch.from_pydict({"x": [1, 2]}),
-            pa.RecordBatch.from_pydict({"x": [3, 4]}),
-        ]
+        map(pa.RecordBatch.from_pydict, [{"x": [1, 2]}, {"x": [3, 4]}])
     )
     reader = table.to_reader()
-    sol = table.to_pandas()
-    with pytest.warns(FutureWarning, match="memtable"):
-        t = con.read_in_memory(reader)
 
-    # First execute is fine
-    res = t.execute()
-    tm.assert_frame_equal(res, sol)
+    with pytest.raises(TypeError):
+        ibis.memtable(reader)
 
-    # Later executes warn
-    with pytest.warns(UserWarning, match="RecordBatchReader"):
-        t.limit(2).execute()
+    t = ibis.memtable(reader.read_all())
 
-    # Re-registering over the name with a new reader is fine
-    reader = table.to_reader()
-    with pytest.warns(FutureWarning, match="memtable"):
-        t = con.read_in_memory(reader, table_name=t.get_name())
-    res = t.execute()
-    tm.assert_frame_equal(res, sol)
+    # First execute is fine
+    res = con.execute(t)
+    tm.assert_frame_equal(res, table.to_pandas())
 
 
 def test_csv_with_slash_n_null(con, tmp_path):
diff --git a/ibis/backends/impala/__init__.py b/ibis/backends/impala/__init__.py
index 88ef7d1d34027..aefa5840cafbc 100644
--- a/ibis/backends/impala/__init__.py
+++ b/ibis/backends/impala/__init__.py
@@ -20,18 +20,6 @@
 import ibis.expr.types as ir
 from ibis import util
 from ibis.backends.impala import ddl, udf
-from ibis.backends.impala.client import ImpalaTable
-from ibis.backends.impala.ddl import (
-    CTAS,
-    CreateDatabase,
-    CreateTableWithSchema,
-    CreateView,
-    DropDatabase,
-    DropTable,
-    DropView,
-    RenameTable,
-    TruncateTable,
-)
 from ibis.backends.impala.udf import (
     aggregate_function,
     scalar_function,
@@ -308,7 +296,7 @@ def create_database(self, name, path=None, force=False):
             Forcibly create the database
 
         """
-        statement = CreateDatabase(name, path=path, can_exist=force)
+        statement = ddl.CreateDatabase(name, path=path, can_exist=force)
         self._safe_exec_sql(statement)
 
     def drop_database(self, name, force=False):
@@ -356,7 +344,7 @@ def drop_database(self, name, force=False):
                 f"Database {name} must be empty before "
                 "being dropped, or set force=True"
             )
-        statement = DropDatabase(name, must_exist=not force)
+        statement = ddl.DropDatabase(name, must_exist=not force)
         self._safe_exec_sql(statement)
 
     def get_schema(
@@ -443,18 +431,14 @@ def create_view(
         overwrite: bool = False,
     ) -> ir.Table:
         select = self.compile(obj)
-        statement = CreateView(name, select, database=database, can_exist=overwrite)
+        statement = ddl.CreateView(name, select, database=database, can_exist=overwrite)
         self._safe_exec_sql(statement)
         return self.table(name, database=database)
 
     def drop_view(self, name, database=None, force=False):
-        stmt = DropView(name, database=database, must_exist=not force)
+        stmt = ddl.DropView(name, database=database, must_exist=not force)
         self._safe_exec_sql(stmt)
 
-    def table(self, name: str, database: str | None = None, **kwargs: Any) -> ir.Table:
-        expr = super().table(name, database=database, **kwargs)
-        return ImpalaTable(expr.op())
-
     def create_table(
         self,
         name: str,
@@ -508,7 +492,6 @@ def create_table(
             Table properties to set on table creation.
         like_parquet
             Can specify instead of a schema
-
         """
         if obj is None and schema is None:
             raise com.IbisError("The schema or obj parameter is required")
@@ -534,22 +517,22 @@ def create_table(
                 self.drop_table(name, force=True)
 
             self._safe_exec_sql(
-                CTAS(
+                ddl.CTAS(
                     name,
                     select,
                     database=database or self.current_database,
                     format=format,
                     external=True if location is not None else external,
                     partition=partition,
-                    tbl_properties=tbl_properties,
                     path=location,
+                    tbl_properties=tbl_properties,
                 )
             )
         else:  # schema is not None
             if overwrite:
                 self.drop_table(name, force=True)
             self._safe_exec_sql(
-                CreateTableWithSchema(
+                ddl.CreateTableWithSchema(
                     name,
                     schema or obj.schema(),
                     database=database or self.current_database,
@@ -564,7 +547,7 @@ def create_table(
 
     def avro_file(
         self, directory, avro_schema, name=None, database=None, external=True
-    ):
+    ) -> ir.Table:
         """Create a table to read a collection of Avro data.
 
         Parameters
@@ -582,9 +565,8 @@ def avro_file(
 
         Returns
         -------
-        ImpalaTable
-            Impala table expression
-
+        Table
+            Table expression
         """
         name, database = self._get_concrete_table_path(name, database)
 
@@ -605,7 +587,7 @@ def delimited_file(
         escapechar=None,
         lineterminator=None,
         external=True,
-    ):
+    ) -> ir.Table:
         """Interpret delimited text files as an Ibis table expression.
 
         See the `parquet_file` method for more details on what happens under
@@ -634,9 +616,8 @@ def delimited_file(
 
         Returns
         -------
-        ImpalaTable
-            Impala table expression
-
+        Table
+            Table expression
         """
         name, database = self._get_concrete_table_path(name, database)
 
@@ -663,7 +644,7 @@ def parquet_file(
         external: bool = True,
         like_file: str | Path | None = None,
         like_table: str | None = None,
-    ):
+    ) -> ir.Table:
         """Create an Ibis table from the passed directory of Parquet files.
 
         The table can be optionally named, otherwise a unique name will be
@@ -694,9 +675,8 @@ def parquet_file(
 
         Returns
         -------
-        ImpalaTable
-            Impala table expression
-
+        Table
+            Table expression
         """
         name, database = self._get_concrete_table_path(name, database)
 
@@ -744,34 +724,90 @@ def insert(
         database=None,
         overwrite=False,
         partition=None,
-        values=None,
         validate=True,
-    ):
-        """Insert data into an existing table.
+    ) -> None:
+        """Insert into an Impala table.
 
-        See
-        [`ImpalaTable.insert`](../backends/impala.qmd#ibis.backends.impala.client.ImpalaTable.insert)
-        for parameters.
+        Parameters
+        ----------
+        table_name
+            The table name
+        obj
+            Table expression or DataFrame
+        database
+            The table database
+        overwrite
+            If True, will replace existing contents of table
+        partition
+            For partitioned tables, indicate the partition that's being
+            inserted into, either with an ordered list of partition keys or a
+            dict of partition field name to value. For example for the
+            partition (year=2007, month=7), this can be either (2007, 7) or
+            {'year': 2007, 'month': 7}.
+        validate
+            If True, do more rigorous validation that schema of table being
+            inserted is compatible with the existing table
 
         Examples
         --------
-        >>> table = "my_table"
-        >>> con.insert(table, table_expr)  # quartodoc: +SKIP # doctest: +SKIP
+        Append to an existing table
+
+        >>> con.insert(table_name, table_expr)  # quartodoc: +SKIP # doctest: +SKIP
 
         Completely overwrite contents
-        >>> con.insert(table, table_expr, overwrite=True)  # quartodoc: +SKIP # doctest: +SKIP
+
+        >>> con.insert(table_name, table_expr, overwrite=True)  # quartodoc: +SKIP # doctest: +SKIP
 
         """
         if isinstance(obj, ir.Table):
             self._run_pre_execute_hooks(obj)
+
         table = self.table(table_name, database=database)
-        return table.insert(
-            obj=obj,
-            overwrite=overwrite,
+
+        if not isinstance(obj, ir.Table):
+            obj = ibis.memtable(obj)
+
+        if not set(table.columns).difference(obj.columns):
+            # project out using column order of parent table
+            # if column names match
+            obj = obj.select(table.columns)
+
+        self._run_pre_execute_hooks(obj)
+
+        if validate:
+            existing_schema = table.schema()
+            insert_schema = obj.schema()
+            if not insert_schema.equals(existing_schema):
+                if set(insert_schema.names) != set(existing_schema.names):
+                    raise com.IbisInputError("Schemas have different names")
+
+                for name in insert_schema:
+                    lt = insert_schema[name]
+                    rt = existing_schema[name]
+                    if not lt.castable(rt):
+                        raise com.IbisInputError(f"Cannot safely cast {lt!r} to {rt!r}")
+
+        if partition is not None:
+            partition_schema = self.get_partition_schema(table_name, database=database)
+            partition_schema_names = frozenset(partition_schema.names)
+            obj = obj.select(
+                [
+                    column
+                    for column in obj.columns
+                    if column not in partition_schema_names
+                ]
+            )
+        else:
+            partition_schema = None
+
+        statement = ddl.InsertSelect(
+            self._fully_qualified_name(table_name, database),
+            self.compile(obj),
             partition=partition,
-            values=values,
-            validate=validate,
+            partition_schema=partition_schema,
+            overwrite=overwrite,
         )
+        self._safe_exec_sql(statement.compile())
 
     def drop_table(
         self, name: str, *, database: str | None = None, force: bool = False
@@ -794,7 +830,7 @@ def drop_table(
         >>> con.drop_table(table, database=db, force=True)  # quartodoc: +SKIP # doctest: +SKIP
 
         """
-        statement = DropTable(name, database=database, must_exist=not force)
+        statement = ddl.DropTable(name, database=database, must_exist=not force)
         self._safe_exec_sql(statement)
 
     def truncate_table(self, name: str, database: str | None = None) -> None:
@@ -808,7 +844,7 @@ def truncate_table(self, name: str, database: str | None = None) -> None:
             Database name
 
         """
-        statement = TruncateTable(name, database=database)
+        statement = ddl.TruncateTable(name, database=database)
         self._safe_exec_sql(statement)
 
     def rename_table(self, old_name: str, new_name: str) -> None:
@@ -822,7 +858,7 @@ def rename_table(self, old_name: str, new_name: str) -> None:
             The new name of the table.
 
         """
-        statement = RenameTable(old_name, new_name)
+        statement = ddl.RenameTable(old_name, new_name)
         self._safe_exec_sql(statement)
 
     def drop_table_or_view(self, name, *, database=None, force=False):
@@ -1142,6 +1178,141 @@ def list_partitions(self, name, database=None):
         stmt = self._table_command("SHOW PARTITIONS", name, database=database)
         return self._exec_statement(stmt)
 
+    def get_partition_schema(
+        self,
+        table_name: str,
+        database: str | None = None,
+    ) -> sch.Schema:
+        """Return the schema for the partition columns.
+
+        Parameters
+        ----------
+        table_name
+            Table name
+        database
+            Database name
+
+        Returns
+        -------
+        Schema
+            Ibis schema for the partition columns
+        """
+        schema = self.get_schema(table_name, database=database)
+        result = self.list_partitions(table_name, database)
+
+        partition_fields = []
+        for col in result.columns:
+            if col not in schema:
+                break
+            partition_fields.append((col, schema[col]))
+
+        return sch.Schema(dict(partition_fields))
+
+    def add_partition(
+        self,
+        table_name: str,
+        spec: dict[str, Any] | list,
+        *,
+        database: str | None = None,
+        location: str | None = None,
+    ) -> None:
+        """Add a new table partition.
+
+        Partition parameters can be set in a single DDL statement or you can
+        use `alter_partition` to set them after the fact.
+
+        Parameters
+        ----------
+        table_name
+            The table name.
+        spec
+            The partition keys for the partition being added.
+        database
+            The database name. If not provided, the current database is used.
+        location
+            Location of the partition
+        """
+        part_schema = self.get_partition_schema(table_name, database)
+        stmt = ddl.AddPartition(
+            self._fully_qualified_name(table_name, database),
+            spec,
+            part_schema,
+            location=location,
+        )
+        self._safe_exec_sql(stmt)
+
+    def drop_partition(
+        self,
+        table_name: str,
+        spec: dict[str, Any] | list,
+        *,
+        database: str | None = None,
+    ) -> None:
+        """Drop an existing table partition.
+
+        Parameters
+        ----------
+        table_name
+            The table name.
+        spec
+            The partition keys for the partition being dropped.
+        database
+            The database name. If not provided, the current database is used.
+        """
+        part_schema = self.get_partition_schema(table_name, database)
+        stmt = ddl.DropPartition(
+            self._fully_qualified_name(table_name, database),
+            spec,
+            part_schema,
+        )
+        self._safe_exec_sql(stmt)
+
+    def alter_partition(
+        self,
+        table_name: str,
+        spec: dict[str, Any] | list,
+        *,
+        database: str | None = None,
+        location: str | None = None,
+        format: str | None = None,
+        tbl_properties: dict | None = None,
+        serde_properties: dict | None = None,
+    ) -> None:
+        """Change settings and parameters of an existing partition.
+
+        Parameters
+        ----------
+        table_name
+            The table name
+        spec
+            The partition keys for the partition being modified
+        database
+            The database name. If not provided, the current database is used.
+        location
+            Location of the partition
+        format
+            Table format
+        tbl_properties
+            Table properties
+        serde_properties
+            Serialization/deserialization properties
+        """
+        part_schema = self.get_partition_schema(table_name, database)
+
+        alterations = [
+            ("location", location),
+            ("format", format),
+            ("tbl_properties", tbl_properties),
+            ("serde_properties", serde_properties),
+        ]
+
+        qname = self._fully_qualified_name(table_name, database)
+
+        for field, values in alterations:
+            if values is not None:
+                stmt = ddl.AlterPartition(qname, spec, part_schema, **{field, values})
+                self._safe_exec_sql(stmt)
+
     def table_stats(self, name, database=None):
         """Return results of `SHOW TABLE STATS` for the table `name`."""
         stmt = self._table_command("SHOW TABLE STATS", name, database=database)
diff --git a/ibis/backends/impala/client.py b/ibis/backends/impala/client.py
deleted file mode 100644
index 4dfeaa494fda9..0000000000000
--- a/ibis/backends/impala/client.py
+++ /dev/null
@@ -1,362 +0,0 @@
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlglot as sg
-
-import ibis
-import ibis.common.exceptions as com
-import ibis.expr.schema as sch
-import ibis.expr.types as ir
-from ibis.backends.impala import ddl
-from ibis.backends.impala.ddl import AlterTable, InsertSelect
-
-if TYPE_CHECKING:
-    import pandas as pd
-
-
-class ImpalaTable(ir.Table):
-    """A physical table in the Impala-Hive metastore."""
-
-    @property
-    def _qualified_name(self) -> str:
-        op = self.op()
-        return sg.table(op.name, catalog=op.namespace.database).sql(dialect="hive")
-
-    @property
-    def _unqualified_name(self) -> str:
-        return self.op().name
-
-    @property
-    def _client(self):
-        return self.op().source
-
-    @property
-    def _database(self) -> str:
-        return self.op().namespace.database
-
-    def compute_stats(self, incremental=False):
-        """Invoke Impala COMPUTE STATS command on the table."""
-        return self._client.compute_stats(
-            self.op().name, database=self._database, incremental=incremental
-        )
-
-    def invalidate_metadata(self):
-        self._client.invalidate_metadata(self.op().name, database=self._database)
-
-    def refresh(self):
-        self._client.refresh(self.op().name, database=self._database)
-
-    def metadata(self):
-        """Return results of `DESCRIBE FORMATTED` statement."""
-        return self._client.describe_formatted(self.op().name, database=self._database)
-
-    describe_formatted = metadata
-
-    def files(self):
-        """Return results of SHOW FILES statement."""
-        return self._client.show_files(self.op().name, database=self._database)
-
-    def drop(self):
-        """Drop the table from the database."""
-        self._client.drop_table_or_view(self.op().name, database=self._database)
-
-    def truncate(self):
-        self._client.truncate_table(self.op().name, database=self._database)
-
-    def insert(
-        self,
-        obj=None,
-        overwrite=False,
-        partition=None,
-        values=None,
-        validate=True,
-    ):
-        """Insert into an Impala table.
-
-        Parameters
-        ----------
-        obj
-            Table expression or DataFrame
-        overwrite
-            If True, will replace existing contents of table
-        partition
-            For partitioned tables, indicate the partition that's being
-            inserted into, either with an ordered list of partition keys or a
-            dict of partition field name to value. For example for the
-            partition (year=2007, month=7), this can be either (2007, 7) or
-            {'year': 2007, 'month': 7}.
-        values
-            Unsupported and unused
-        validate
-            If True, do more rigorous validation that schema of table being
-            inserted is compatible with the existing table
-
-        Examples
-        --------
-        Append to an existing table
-
-        >>> t.insert(table_expr)  # quartodoc: +SKIP # doctest: +SKIP
-
-        Completely overwrite contents
-
-        >>> t.insert(table_expr, overwrite=True)  # quartodoc: +SKIP # doctest: +SKIP
-
-        """
-        if values is not None:
-            raise NotImplementedError
-
-        if not isinstance(obj, ir.Table):
-            obj = ibis.memtable(obj)
-
-        if not set(self.columns).difference(obj.columns):
-            # project out using column order of parent table
-            # if column names match
-            obj = obj.select(self.columns)
-
-        self._client._run_pre_execute_hooks(obj)
-
-        expr = obj
-        if validate:
-            existing_schema = self.schema()
-            insert_schema = expr.schema()
-            if not insert_schema.equals(existing_schema):
-                _validate_compatible(insert_schema, existing_schema)
-
-        if partition is not None:
-            partition_schema = self.partition_schema()
-            partition_schema_names = frozenset(partition_schema.names)
-            expr = expr.select(
-                [
-                    column
-                    for column in expr.columns
-                    if column not in partition_schema_names
-                ]
-            )
-        else:
-            partition_schema = None
-
-        statement = InsertSelect(
-            self._qualified_name,
-            self._client.compile(expr),
-            partition=partition,
-            partition_schema=partition_schema,
-            overwrite=overwrite,
-        )
-        self._client._safe_exec_sql(statement.compile())
-        return self
-
-    def load_data(self, path, overwrite=False, partition=None):
-        """Load data into an Impala table.
-
-        Parameters
-        ----------
-        path
-            Data to load
-        overwrite
-            Overwrite the existing data in the entire table or indicated
-            partition
-        partition
-            If specified, the partition must already exist
-
-        """
-        if partition is not None:
-            partition_schema = self.partition_schema()
-        else:
-            partition_schema = None
-
-        stmt = ddl.LoadData(
-            self._qualified_name,
-            path,
-            partition=partition,
-            partition_schema=partition_schema,
-            overwrite=overwrite,
-        )
-
-        self._client._safe_exec_sql(stmt.compile())
-        return self
-
-    @property
-    def name(self) -> str:
-        return self.op().name
-
-    @property
-    def is_partitioned(self):
-        """True if the table is partitioned."""
-        return self.metadata().is_partitioned
-
-    def partition_schema(self):
-        """Return the schema for the partition columns."""
-        schema = self.schema()
-        result = self.partitions()
-
-        partition_fields = []
-        for col in result.columns:
-            if col not in schema:
-                break
-            partition_fields.append((col, schema[col]))
-
-        return sch.Schema(dict(partition_fields))
-
-    def add_partition(self, spec, location=None):
-        """Add a new table partition.
-
-        Partition parameters can be set in a single DDL statement or you can
-        use `alter_partition` to set them after the fact.
-        """
-        part_schema = self.partition_schema()
-        stmt = ddl.AddPartition(
-            self._qualified_name, spec, part_schema, location=location
-        )
-        self._client._safe_exec_sql(stmt)
-        return self
-
-    def alter(
-        self,
-        location=None,
-        format=None,
-        tbl_properties=None,
-        serde_properties=None,
-    ):
-        """Change settings and parameters of the table.
-
-        Parameters
-        ----------
-        location
-            For partitioned tables, you may want the alter_partition function
-        format
-            Table format
-        tbl_properties
-            Table properties
-        serde_properties
-            Serialization/deserialization properties
-
-        """
-
-        def _run_ddl(**kwds):
-            stmt = AlterTable(self._qualified_name, **kwds)
-            self._client._safe_exec_sql(stmt)
-            return self
-
-        return self._alter_table_helper(
-            _run_ddl,
-            location=location,
-            format=format,
-            tbl_properties=tbl_properties,
-            serde_properties=serde_properties,
-        )
-
-    def set_external(self, is_external=True):
-        """Toggle the `EXTERNAL` table property."""
-        self.alter(tbl_properties={"EXTERNAL": is_external})
-
-    def alter_partition(
-        self,
-        spec,
-        location=None,
-        format=None,
-        tbl_properties=None,
-        serde_properties=None,
-    ):
-        """Change settings and parameters of an existing partition.
-
-        Parameters
-        ----------
-        spec
-            The partition keys for the partition being modified
-        location
-            Location of the partition
-        format
-            Table format
-        tbl_properties
-            Table properties
-        serde_properties
-            Serialization/deserialization properties
-
-        """
-        part_schema = self.partition_schema()
-
-        def _run_ddl(**kwds):
-            stmt = ddl.AlterPartition(self._qualified_name, spec, part_schema, **kwds)
-            self._client._safe_exec_sql(stmt)
-            return self
-
-        return self._alter_table_helper(
-            _run_ddl,
-            location=location,
-            format=format,
-            tbl_properties=tbl_properties,
-            serde_properties=serde_properties,
-        )
-
-    def _alter_table_helper(self, f, **alterations):
-        results = []
-        for k, v in alterations.items():
-            if v is None:
-                continue
-            result = f(**{k: v})
-            results.append(result)
-        return results
-
-    def drop_partition(self, spec):
-        """Drop an existing table partition."""
-        part_schema = self.partition_schema()
-        stmt = ddl.DropPartition(self._qualified_name, spec, part_schema)
-        self._client._safe_exec_sql(stmt)
-        return self
-
-    def partitions(self):
-        """Return information about the table's partitions.
-
-        Raises an exception if the table is not partitioned.
-        """
-        return self._client.list_partitions(self._qualified_name)
-
-    def stats(self) -> pd.DataFrame:
-        """Return results of `SHOW TABLE STATS`.
-
-        If not partitioned, contains only one row.
-
-        Returns
-        -------
-        DataFrame
-            Table statistics
-
-        """
-        return self._client.table_stats(self._qualified_name)
-
-    def column_stats(self) -> pd.DataFrame:
-        """Return results of `SHOW COLUMN STATS`.
-
-        Returns
-        -------
-        DataFrame
-            Column statistics
-
-        """
-        return self._client.column_stats(self._qualified_name)
-
-
-# ----------------------------------------------------------------------
-# ORM-ish usability layer
-
-
-class ScalarFunction:
-    def drop(self):
-        pass
-
-
-class AggregateFunction:
-    def drop(self):
-        pass
-
-
-def _validate_compatible(from_schema, to_schema):
-    if set(from_schema.names) != set(to_schema.names):
-        raise com.IbisInputError("Schemas have different names")
-
-    for name in from_schema:
-        lt = from_schema[name]
-        rt = to_schema[name]
-        if not lt.castable(rt):
-            raise com.IbisInputError(f"Cannot safely cast {lt!r} to {rt!r}")
diff --git a/ibis/backends/impala/ddl.py b/ibis/backends/impala/ddl.py
index 39a47ef25de3e..88b6ece8615bd 100644
--- a/ibis/backends/impala/ddl.py
+++ b/ibis/backends/impala/ddl.py
@@ -162,51 +162,7 @@ def _pieces(self):
         yield self._tbl_properties()
 
 
-class AlterTable(ImpalaBase, DDL):
-    def __init__(
-        self,
-        table,
-        location=None,
-        format=None,
-        tbl_properties=None,
-        serde_properties=None,
-    ):
-        self.table = table
-        self.location = location
-        self.format = self.sanitize_format(format)
-        self.tbl_properties = tbl_properties
-        self.serde_properties = serde_properties
-
-    def _wrap_command(self, cmd):
-        return f"ALTER TABLE {cmd}"
-
-    def _format_properties(self, prefix=""):
-        tokens = []
-
-        if self.location is not None:
-            tokens.append(f"LOCATION '{self.location}'")
-
-        if self.format is not None:
-            tokens.append(f"FILEFORMAT {self.format}")
-
-        if self.tbl_properties is not None:
-            tokens.append(self.format_tblproperties(self.tbl_properties))
-
-        if self.serde_properties is not None:
-            tokens.append(self.format_serdeproperties(self.serde_properties))
-
-        if len(tokens) > 0:
-            return "\n{}{}".format(prefix, "\n".join(tokens))
-        else:
-            return ""
-
-    def compile(self):
-        props = self._format_properties()
-        action = f"{self.table} SET {props}"
-        return self._wrap_command(action)
-
-
-class RenameTable(AlterTable):
+class RenameTable(ImpalaBase, DDL):
     def __init__(
         self,
         old_name: str,
@@ -222,7 +178,7 @@ def __init__(
         )
 
     def compile(self):
-        return self._wrap_command(f"{self._old} RENAME TO {self._new}")
+        return f"ALTER TABLE {self._old} RENAME TO {self._new}"
 
 
 class DropTable(ImpalaBase, DropObject):
@@ -443,45 +399,10 @@ def _pieces(self):
         yield "\n".join(self.table_format.to_ddl())
 
 
-class LoadData(ImpalaBase, DDL):
-    """Generate DDL for LOAD DATA command.
-
-    Cannot be cancelled
-    """
+class PartitionProperties(ImpalaBase, DDL):
+    _command = ""
+    _property_prefix = ""
 
-    def __init__(
-        self,
-        table_name,
-        path,
-        database=None,
-        partition=None,
-        partition_schema=None,
-        overwrite=False,
-    ):
-        self.table_name = table_name
-        self.database = database
-        self.path = path
-
-        self.partition = partition
-        self.partition_schema = partition_schema
-
-        self.overwrite = overwrite
-
-    def compile(self):
-        overwrite = "OVERWRITE " if self.overwrite else ""
-
-        if self.partition is not None:
-            partition = "\n" + self.format_partition(
-                self.partition, self.partition_schema
-            )
-        else:
-            partition = ""
-
-        scoped_name = self.scoped_name(self.table_name, self.database)
-        return f"LOAD DATA INPATH {self.path!r} {overwrite}INTO TABLE {scoped_name}{partition}"
-
-
-class PartitionProperties(AlterTable):
     def __init__(
         self,
         table,
@@ -492,51 +413,56 @@ def __init__(
         tbl_properties=None,
         serde_properties=None,
     ):
-        super().__init__(
-            table,
-            location=location,
-            format=format,
-            tbl_properties=tbl_properties,
-            serde_properties=serde_properties,
-        )
+        self.table = table
+        self.location = location
+        self.format = self.sanitize_format(format)
+        self.tbl_properties = tbl_properties
+        self.serde_properties = serde_properties
         self.partition = partition
         self.partition_schema = partition_schema
 
-    def _compile(self, cmd, property_prefix=""):
+    def compile(self):
         part = self.format_partition(self.partition, self.partition_schema)
-        if cmd:
-            part = f"{cmd} {part}"
+        if self._command:
+            part = f"{self._command} {part}"
 
-        props = self._format_properties(property_prefix)
-        action = f"{self.table} {part}{props}"
-        return self._wrap_command(action)
+        props = self._format_properties()
+        return f"ALTER TABLE {self.table} {part}{props}"
 
+    def _format_properties(self):
+        tokens = []
 
-class AddPartition(PartitionProperties):
-    dialect = "hive"
+        if self.location is not None:
+            tokens.append(f"LOCATION '{self.location}'")
 
-    def __init__(self, table, partition, partition_schema, location=None):
-        super().__init__(table, partition, partition_schema, location=location)
+        if self.format is not None:
+            tokens.append(f"FILEFORMAT {self.format}")
 
-    def compile(self):
-        return self._compile("ADD")
+        if self.tbl_properties is not None:
+            tokens.append(self.format_tblproperties(self.tbl_properties))
 
+        if self.serde_properties is not None:
+            tokens.append(self.format_serdeproperties(self.serde_properties))
 
-class AlterPartition(PartitionProperties):
-    dialect = "hive"
+        if len(tokens) > 0:
+            return "\n{}{}".format(self._property_prefix, "\n".join(tokens))
+        else:
+            return ""
 
-    def compile(self):
-        return self._compile("", "SET ")
+
+class AddPartition(PartitionProperties):
+    dialect = "hive"
+    _command = "ADD"
 
 
-class DropPartition(PartitionProperties):
+class AlterPartition(PartitionProperties):
     dialect = "hive"
+    _property_prefix = "SET "
 
-    def __init__(self, table, partition, partition_schema):
-        super().__init__(table, partition, partition_schema)
 
-    def compile(self):
-        return self._compile("DROP")
+class DropPartition(PartitionProperties):
+    dialect = "hive"
+    _command = "DROP"
 
 
 class CacheTable(ImpalaBase, DDL):
diff --git a/ibis/backends/impala/tests/test_bucket_histogram.py b/ibis/backends/impala/tests/test_bucket_histogram.py
index 344b6ec99da50..4b8749c173bb8 100644
--- a/ibis/backends/impala/tests/test_bucket_histogram.py
+++ b/ibis/backends/impala/tests/test_bucket_histogram.py
@@ -81,8 +81,8 @@ def test_bucket_assign_labels(table, snapshot):
     bucket = table.f.bucket(buckets, include_under=True)
 
     size = table.group_by(bucket.name("tier")).size()
-    labelled = size.tier.label(
-        ["Under 0", "0 to 10", "10 to 25", "25 to 50"], nulls="error"
+    labelled = size.tier.cases(
+        *enumerate(["Under 0", "0 to 10", "10 to 25", "25 to 50"]), else_="error"
     ).name("tier2")
     expr = size.select(labelled, size[1])
 
diff --git a/ibis/backends/impala/tests/test_ddl.py b/ibis/backends/impala/tests/test_ddl.py
index ad74932176b56..fc168b53f691a 100644
--- a/ibis/backends/impala/tests/test_ddl.py
+++ b/ibis/backends/impala/tests/test_ddl.py
@@ -93,16 +93,6 @@ def test_truncate_table(con, alltypes, temp_table):
     assert not nrows
 
 
-def test_truncate_table_expression(con, alltypes, temp_table):
-    expr = alltypes.limit(1)
-
-    con.create_table(temp_table, obj=expr)
-    t = con.table(temp_table)
-    t.truncate()
-    nrows = t.count().execute()
-    assert not nrows
-
-
 def test_ctas_from_table_expr(con, alltypes, temp_table):
     t = con.create_table(temp_table, alltypes)
     assert t.count().execute()
@@ -130,19 +120,15 @@ def test_insert_table(con, alltypes, temp_table, test_data_db):
     expr = alltypes
     db = test_data_db
 
-    con.create_table(temp_table, expr.limit(0), database=db)
-
-    con.insert(temp_table, expr.limit(10), database=db)
+    t = con.create_table(temp_table, expr.limit(0), database=db)
 
-    # check using ImpalaTable.insert
-    t = con.table(temp_table, database=db)
-    t.insert(expr.limit(10))
+    con.insert(temp_table, expr.limit(20), database=db)
 
     sz = t.count()
     assert sz.execute() == 20
 
     # Overwrite and verify only 10 rows now
-    t.insert(expr.limit(10), overwrite=True)
+    con.insert(temp_table, expr.limit(10), database=db, overwrite=True)
     assert sz.execute() == 10
 
 
@@ -157,19 +143,12 @@ def test_insert_validate_types(con, alltypes, test_data_db, temp_table):
         database=db,
     )
 
-    t = con.table(temp_table, database=db)
-
-    to_insert = expr.select(
-        expr.tinyint_col, expr.smallint_col.name("int_col"), expr.string_col
-    )
-    t.insert(to_insert.limit(10))
-
     to_insert = expr.select(
         expr.tinyint_col,
         expr.smallint_col.cast("int32").name("int_col"),
         expr.string_col,
     )
-    t.insert(to_insert.limit(10))
+    con.insert(temp_table, to_insert.limit(10), database=db)
 
     to_insert = expr.select(
         expr.tinyint_col, expr.bigint_col.name("int_col"), expr.string_col
@@ -177,16 +156,7 @@ def test_insert_validate_types(con, alltypes, test_data_db, temp_table):
 
     limit_expr = to_insert.limit(10)
     with pytest.raises(com.IbisError):
-        t.insert(limit_expr)
-
-
-def test_compute_stats(con):
-    t = con.table("functional_alltypes")
-
-    t.compute_stats()
-    t.compute_stats(incremental=True)
-
-    con.compute_stats("functional_alltypes")
+        con.insert(temp_table, limit_expr, database=db)
 
 
 @pytest.fixture
@@ -202,53 +172,6 @@ def test_drop_view(con, created_view):
     assert created_view not in con.list_tables()
 
 
-@pytest.fixture
-def path_uuid():
-    return f"change-location-{util.guid()}"
-
-
-@pytest.fixture
-def table(con, tmp_dir, path_uuid):
-    table_name = f"table_{util.guid()}"
-    fake_path = pjoin(tmp_dir, path_uuid)
-    schema = ibis.schema([("foo", "string"), ("bar", "int64")])
-    yield con.create_table(
-        table_name, schema=schema, format="parquet", external=True, location=fake_path
-    )
-    con.drop_table(table_name)
-
-
-def test_change_location(table, tmp_dir, path_uuid):
-    old_loc = table.metadata().location
-
-    new_path = pjoin(tmp_dir, "new-path")
-    table.alter(location=new_path)
-
-    new_loc = table.metadata().location
-    assert new_loc == old_loc.replace(path_uuid, "new-path")
-
-
-def test_change_properties(table):
-    props = {"foo": "1", "bar": "2"}
-
-    table.alter(tbl_properties=props)
-    tbl_props = table.metadata().tbl_properties
-    for k, v in props.items():
-        assert v == tbl_props[k]
-
-    table.alter(serde_properties=props)
-    serde_props = table.metadata().serde_properties
-    for k, v in props.items():
-        assert v == serde_props[k]
-
-
-def test_change_format(table):
-    table.alter(format="avro")
-
-    meta = table.metadata()
-    assert "Avro" in meta.hive_format
-
-
 def test_query_avro(con, test_data_dir):
     hdfs_path = pjoin(test_data_dir, "directory/avro/tpch/region")
 
@@ -265,7 +188,7 @@ def test_query_avro(con, test_data_dir):
     table = con.avro_file(hdfs_path, avro_schema)
 
     # table exists
-    assert table._qualified_name in con.list_tables()
+    assert table.get_name() in con.list_tables()
 
     expr = table.r_name.value_counts()
     expr.execute()
diff --git a/ibis/backends/impala/tests/test_ddl_compilation.py b/ibis/backends/impala/tests/test_ddl_compilation.py
index d6f386ec0cbe8..46e71f4f0a708 100644
--- a/ibis/backends/impala/tests/test_ddl_compilation.py
+++ b/ibis/backends/impala/tests/test_ddl_compilation.py
@@ -42,38 +42,6 @@ def test_select_basics(t, snapshot):
     snapshot.assert_match(result, "out2.sql")
 
 
-def test_load_data_unpartitioned(snapshot):
-    path = "/path/to/data"
-    stmt = ddl.LoadData("functional_alltypes", path, database="foo")
-
-    result = stmt.compile()
-    snapshot.assert_match(result, "out1.sql")
-
-    stmt.overwrite = True
-    result = stmt.compile()
-    snapshot.assert_match(result, "out2.sql")
-
-
-def test_load_data_partitioned(snapshot):
-    path = "/path/to/data"
-    part = {"year": 2007, "month": 7}
-    part_schema = ibis.schema([("year", "int32"), ("month", "int32")])
-    stmt = ddl.LoadData(
-        "functional_alltypes",
-        path,
-        database="foo",
-        partition=part,
-        partition_schema=part_schema,
-    )
-
-    result = stmt.compile()
-    snapshot.assert_match(result, "out1.sql")
-
-    stmt.overwrite = True
-    result = stmt.compile()
-    snapshot.assert_match(result, "out2.sql")
-
-
 def test_cache_table_pool_name(snapshot):
     statement = ddl.CacheTable("foo", database="bar")
     query = statement.compile()
diff --git a/ibis/backends/impala/tests/test_exprs.py b/ibis/backends/impala/tests/test_exprs.py
index f6a7fd7bf1f5b..f700ec5908be5 100644
--- a/ibis/backends/impala/tests/test_exprs.py
+++ b/ibis/backends/impala/tests/test_exprs.py
@@ -132,7 +132,7 @@ def test_builtins(con, alltypes):
         s.repeat(i1),
     ]
 
-    proj_exprs = [expr.name("e%d" % i) for i, expr in enumerate(exprs)]
+    proj_exprs = [expr.name(f"e{i:d}") for i, expr in enumerate(exprs)]
 
     projection = table.select(proj_exprs)
     projection.limit(10).execute()
@@ -418,7 +418,7 @@ def test_decimal_timestamp_builtins(con):
         exprs.append(ts + offset)
         exprs.append(ts - offset)
 
-    proj_exprs = [expr.name("e%d" % i) for i, expr in enumerate(exprs)]
+    proj_exprs = [expr.name(f"e{i:d}") for i, expr in enumerate(exprs)]
 
     projection = table.select(proj_exprs).limit(10)
     projection.execute()
@@ -474,7 +474,7 @@ def test_aggregations(alltypes):
         d.var(where=cond),
     ]
 
-    metrics = [expr.name("e%d" % i) for i, expr in enumerate(exprs)]
+    metrics = [expr.name(f"e{i:d}") for i, expr in enumerate(exprs)]
 
     agged_table = table.aggregate(metrics)
     agged_table.execute()
@@ -511,7 +511,7 @@ def test_analytic_functions(alltypes):
         f.max(),
     ]
 
-    proj_exprs = [expr.name("e%d" % i) for i, expr in enumerate(exprs)]
+    proj_exprs = [expr.name(f"e{i:d}") for i, expr in enumerate(exprs)]
 
     proj_table = g.mutate(proj_exprs)
     proj_table.execute()
diff --git a/ibis/backends/impala/tests/test_parquet_ddl.py b/ibis/backends/impala/tests/test_parquet_ddl.py
index 4cc05677c5093..c67fe383d16e2 100644
--- a/ibis/backends/impala/tests/test_parquet_ddl.py
+++ b/ibis/backends/impala/tests/test_parquet_ddl.py
@@ -42,10 +42,7 @@ def test_query_parquet_file_with_schema(con, test_data_dir):
 
     table = con.parquet_file(hdfs_path, schema=schema)
 
-    name = table._qualified_name
-
-    # table exists
-    con.table(name)
+    assert table.get_name() in con.list_tables()
 
     expr = table.r_name.value_counts()
     expr.execute()
diff --git a/ibis/backends/impala/tests/test_partition.py b/ibis/backends/impala/tests/test_partition.py
index 52fe8a9b8bb5c..ab6ff1673b250 100644
--- a/ibis/backends/impala/tests/test_partition.py
+++ b/ibis/backends/impala/tests/test_partition.py
@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-from posixpath import join as pjoin
-
 import pandas as pd
 import pandas.testing as tm
 import pytest
@@ -39,12 +37,6 @@ def unpart_t(con, df):
     con.drop_table(pd_name)
 
 
-def test_is_partitioned(con, temp_table):
-    schema = ibis.schema([("foo", "string"), ("year", "int32"), ("month", "string")])
-    con.create_table(temp_table, schema=schema, partition=["year", "month"])
-    assert con.table(temp_table).is_partitioned
-
-
 def test_create_table_with_partition_column(con, temp_table):
     schema = ibis.schema(
         [
@@ -69,7 +61,7 @@ def test_create_table_with_partition_column(con, temp_table):
     table_schema = con.get_schema(temp_table)
     assert_equal(table_schema, ex_schema)
 
-    partition_schema = con.table(temp_table).partition_schema()
+    partition_schema = con.get_partition_schema(temp_table)
 
     expected = ibis.schema([("year", "int32"), ("month", "string")])
     assert_equal(partition_schema, expected)
@@ -93,14 +85,14 @@ def test_create_partitioned_separate_schema(con, temp_table):
     table_schema = con.get_schema(temp_table)
     assert_equal(table_schema, ex_schema)
 
-    partition_schema = con.table(temp_table).partition_schema()
+    partition_schema = con.get_partition_schema(temp_table)
     assert_equal(partition_schema, part_schema)
 
 
 def test_unpartitioned_table_get_schema(con):
     tname = "functional_alltypes"
     with pytest.raises(ImpylaError):
-        con.table(tname).partition_schema()
+        con.get_partition_schema(tname)
 
 
 def test_insert_select_partitioned_table(con, df, temp_table, unpart_t):
@@ -120,9 +112,16 @@ def test_insert_select_partitioned_table(con, df, temp_table, unpart_t):
             part = {"year": year, "month": month}
         else:
             part = [year, month]
-        part_t.insert(select_stmt, partition=part)
+        con.insert(temp_table, select_stmt, partition=part)
+
+    result = part_t.execute().sort_values(by="id").reset_index(drop=True)[df.columns]
 
-    verify_partitioned_table(part_t, df, unique_keys)
+    tm.assert_frame_equal(result, df)
+
+    parts = con.list_partitions(temp_table)
+
+    # allow for the total line
+    assert len(parts) == len(unique_keys) + 1
 
 
 @pytest.fixture
@@ -151,17 +150,16 @@ def test_add_drop_partition_no_location(con, temp_table):
         partition=["year", "month"],
         tbl_properties={"transactional": "false"},
     )
-    table = con.table(temp_table)
 
     part = {"year": 2007, "month": 4}
 
-    table.add_partition(part)
+    con.add_partition(temp_table, part)
 
-    assert len(table.partitions()) == 2
+    assert len(con.list_partitions(temp_table)) == 2
 
-    table.drop_partition(part)
+    con.drop_partition(temp_table, part)
 
-    assert len(table.partitions()) == 1
+    assert len(con.list_partitions(temp_table)) == 1
 
 
 def test_add_drop_partition_owned_by_impala(con, temp_table):
@@ -172,22 +170,19 @@ def test_add_drop_partition_owned_by_impala(con, temp_table):
         partition=["year", "month"],
         tbl_properties={"transactional": "false"},
     )
-
-    table = con.table(temp_table)
-
     part = {"year": 2007, "month": 4}
 
     subdir = util.guid()
     basename = util.guid()
     path = f"/tmp/{subdir}/{basename}"
 
-    table.add_partition(part, location=path)
+    con.add_partition(temp_table, part, location=path)
 
-    assert len(table.partitions()) == 2
+    assert len(con.list_partitions(temp_table)) == 2
 
-    table.drop_partition(part)
+    con.drop_partition(temp_table, part)
 
-    assert len(table.partitions()) == 1
+    assert len(con.list_partitions(temp_table)) == 1
 
 
 def test_add_drop_partition_hive_bug(con, temp_table):
@@ -199,66 +194,14 @@ def test_add_drop_partition_hive_bug(con, temp_table):
         tbl_properties={"transactional": "false"},
     )
 
-    table = con.table(temp_table)
-
     part = {"year": 2007, "month": 4}
 
     path = f"/tmp/{util.guid()}"
 
-    table.add_partition(part, location=path)
-
-    assert len(table.partitions()) == 2
-
-    table.drop_partition(part)
-
-    assert len(table.partitions()) == 1
-
-
-@pytest.mark.xfail(
-    raises=AttributeError, reason="test is bogus and needs to be rewritten"
-)
-def test_load_data_partition(con, tmp_dir, unpart_t, df, temp_table):
-    part_keys = ["year", "month"]
-
-    con.create_table(temp_table, schema=unpart_t.schema(), partition=part_keys)
-    part_t = con.table(temp_table)
-
-    # trim the runtime of this test
-    df = df[df.month == "1"].reset_index(drop=True)
-
-    unique_keys = df[part_keys].drop_duplicates()
-
-    hdfs_dir = pjoin(tmp_dir, "load-data-partition")
-
-    df2 = df.drop(["year", "month"], axis="columns")
-
-    csv_props = {"serialization.format": ",", "field.delim": ","}
+    con.add_partition(temp_table, part, location=path)
 
-    for i, (year, month) in enumerate(unique_keys.itertuples(index=False)):
-        chunk = df2[(df.year == year) & (df.month == month)]
-        chunk_path = pjoin(hdfs_dir, f"{i}.csv")
+    assert len(con.list_partitions(temp_table)) == 2
 
-        con.write_dataframe(chunk, chunk_path)
+    con.drop_partition(temp_table, part)
 
-        # test both styles of insert
-        if i:
-            part = {"year": year, "month": month}
-        else:
-            part = [year, month]
-
-        part_t.add_partition(part)
-        part_t.alter_partition(part, format="text", serde_properties=csv_props)
-        part_t.load_data(chunk_path, partition=part)
-
-    verify_partitioned_table(part_t, df, unique_keys)
-
-
-def verify_partitioned_table(part_t, df, unique_keys):
-    result = part_t.execute().sort_values(by="id").reset_index(drop=True)[df.columns]
-
-    tm.assert_frame_equal(result, df)
-
-    parts = part_t.partitions()
-
-    # allow for the total line
-    assert len(parts) == len(unique_keys) + 1
+    assert len(con.list_partitions(temp_table)) == 1
diff --git a/ibis/backends/impala/tests/test_patched.py b/ibis/backends/impala/tests/test_patched.py
index df9fa679d197b..36ea8268fab78 100644
--- a/ibis/backends/impala/tests/test_patched.py
+++ b/ibis/backends/impala/tests/test_patched.py
@@ -20,10 +20,6 @@ def test_invalidate_metadata(con, spy, test_data_db, qname):
     con.invalidate_metadata()
     spy.assert_called_with("INVALIDATE METADATA")
 
-    con.invalidate_metadata("functional_alltypes")
-    t = con.table("functional_alltypes")
-    t.invalidate_metadata()
-
     con.invalidate_metadata("functional_alltypes", database=test_data_db)
     spy.assert_called_with(f"INVALIDATE METADATA {qname}")
 
@@ -33,32 +29,34 @@ def test_refresh(con, spy, qname):
     con.refresh(tname)
     spy.assert_called_with(f"REFRESH {qname}")
 
-    t = con.table(tname)
-    t.refresh()
-    spy.assert_called_with(f"REFRESH {qname}")
-
 
 def test_describe_formatted(con, spy, qname):
-    t = con.table("functional_alltypes")
-    desc = t.describe_formatted()
+    desc = con.describe_formatted("functional_alltypes")
     spy.assert_called_with(f"DESCRIBE FORMATTED {qname}")
     assert isinstance(desc, metadata.TableMetadata)
 
 
 def test_show_files(con, spy, qname):
-    t = con.table("functional_alltypes")
-    desc = t.files()
+    desc = con.show_files("functional_alltypes")
     spy.assert_called_with(f"SHOW FILES IN {qname}")
     assert isinstance(desc, pd.DataFrame)
 
 
-def test_table_column_stats(con, spy, qname):
-    t = con.table("functional_alltypes")
+def test_column_stats(con, spy, qname):
+    desc = con.column_stats("functional_alltypes")
+    spy.assert_called_with(f"SHOW COLUMN STATS {qname}")
+    assert isinstance(desc, pd.DataFrame)
+
 
-    desc = t.stats()
+def test_table_stats(con, spy, qname):
+    desc = con.table_stats("functional_alltypes")
     spy.assert_called_with(f"SHOW TABLE STATS {qname}")
     assert isinstance(desc, pd.DataFrame)
 
-    desc = t.column_stats()
-    spy.assert_called_with(f"SHOW COLUMN STATS {qname}")
-    assert isinstance(desc, pd.DataFrame)
+
+def test_compute_stats(con, spy, qname):
+    con.compute_stats("functional_alltypes")
+    spy.assert_called_with(f"COMPUTE STATS {qname}")
+
+    con.compute_stats("functional_alltypes", incremental=True)
+    spy.assert_called_with(f"COMPUTE INCREMENTAL STATS {qname}")
diff --git a/ibis/backends/impala/udf.py b/ibis/backends/impala/udf.py
index 32304c65dd35a..d0a622439c785 100644
--- a/ibis/backends/impala/udf.py
+++ b/ibis/backends/impala/udf.py
@@ -21,7 +21,7 @@
 import ibis.expr.operations as ops
 from ibis import util
 
-__all__ = ["scalar_function", "aggregate_function", "wrap_udf", "wrap_uda"]
+__all__ = ["aggregate_function", "scalar_function", "wrap_uda", "wrap_udf"]
 
 
 class Function(abc.ABC):
diff --git a/ibis/backends/mssql/__init__.py b/ibis/backends/mssql/__init__.py
index c640f58e80013..cdaa985ff5452 100644
--- a/ibis/backends/mssql/__init__.py
+++ b/ibis/backends/mssql/__init__.py
@@ -328,7 +328,7 @@ def _get_schema_using_query(self, query: str) -> sch.Schema:
           scale,
           error_number,
           error_message
-        FROM sys.dm_exec_describe_first_result_set({tsql}, NULL, 0)
+        FROM sys.dm_exec_describe_first_result_set(N{tsql}, NULL, 0)
         ORDER BY column_ordinal
         """
         with self._safe_raw_sql(query) as cur:
diff --git a/ibis/backends/mssql/tests/test_client.py b/ibis/backends/mssql/tests/test_client.py
index 5db3665027d9d..d252ed9d9e293 100644
--- a/ibis/backends/mssql/tests/test_client.py
+++ b/ibis/backends/mssql/tests/test_client.py
@@ -311,3 +311,11 @@ def test_escape_special_characters():
     assert test_func("1bis}Testing!") == "{1bis}}Testing!}"
     assert test_func("{R;3G1/8Al2AniRye") == "{{R;3G1/8Al2AniRye}"
     assert test_func("{R;3G1/8Al2AniRye}") == "{{R;3G1/8Al2AniRye}}}"
+
+
+def test_non_ascii_column_name(con):
+    expr = con.sql("SELECT 1 AS [калона]")
+    schema = expr.schema()
+    names = schema.names
+    assert len(names) == 1
+    assert names[0] == "калона"
diff --git a/ibis/backends/oracle/tests/test_client.py b/ibis/backends/oracle/tests/test_client.py
index 97765b4d754f1..21c5b78818044 100644
--- a/ibis/backends/oracle/tests/test_client.py
+++ b/ibis/backends/oracle/tests/test_client.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from datetime import date  # noqa: TCH003
+from datetime import date  # noqa: TC003
 
 import oracledb
 import pandas as pd
diff --git a/ibis/backends/polars/__init__.py b/ibis/backends/polars/__init__.py
index ff65f5fb3876b..0a533541e3091 100644
--- a/ibis/backends/polars/__init__.py
+++ b/ibis/backends/polars/__init__.py
@@ -19,7 +19,7 @@
 from ibis.common.dispatch import lazy_singledispatch
 from ibis.expr.rewrites import lower_stringslice, replace_parameter
 from ibis.formats.polars import PolarsSchema
-from ibis.util import deprecated, gen_name, normalize_filename, normalize_filenames
+from ibis.util import gen_name, normalize_filename, normalize_filenames
 
 if TYPE_CHECKING:
     from collections.abc import Iterable
@@ -86,7 +86,13 @@ def version(self) -> str:
     def list_tables(self, like=None, database=None):
         return self._filter_with_like(list(self._tables.keys()), like)
 
-    def table(self, name: str) -> ir.Table:
+    def table(self, name: str, database: None = None) -> ir.Table:
+        if database is not None:
+            raise com.IbisError(
+                "Passing `database` to the Polars backend's `table()` method is not "
+                "supported: Polars cannot set a database."
+            )
+
         table = self._tables.get(name)
         if table is None:
             raise com.TableNotFound(name)
@@ -100,73 +106,6 @@ def _register_in_memory_table(self, op: ops.InMemoryTable) -> None:
     def _finalize_memtable(self, name: str) -> None:
         self.drop_table(name, force=True)
 
-    @deprecated(
-        as_of="9.1",
-        instead="use the explicit `read_*` method for the filetype you are trying to read, e.g., read_parquet, read_csv, etc.",
-    )
-    def register(
-        self,
-        source: str | Path | Any,
-        table_name: str | None = None,
-        **kwargs: Any,
-    ) -> ir.Table:
-        """Register a data source as a table in the current database.
-
-        Parameters
-        ----------
-        source
-            The data source(s). May be a path to a file, a parquet directory, or a pandas
-            dataframe.
-        table_name
-            An optional name to use for the created table. This defaults to
-            a sequentially generated name.
-        **kwargs
-            Additional keyword arguments passed to Polars loading functions for
-            CSV or parquet.
-            See https://pola-rs.github.io/polars/py-polars/html/reference/api/polars.scan_csv.html
-            and https://pola-rs.github.io/polars/py-polars/html/reference/api/polars.scan_parquet.html
-            for more information
-
-        Returns
-        -------
-        ir.Table
-            The just-registered table
-
-        """
-
-        if isinstance(source, (str, Path)):
-            first = str(source)
-        elif isinstance(source, (list, tuple)):
-            first = str(source[0])
-        else:
-            try:
-                return self.read_pandas(source, table_name=table_name, **kwargs)
-            except ValueError:
-                self._register_failure()
-
-        if first.startswith(("parquet://", "parq://")) or first.endswith(
-            ("parq", "parquet")
-        ):
-            return self.read_parquet(source, table_name=table_name, **kwargs)
-        elif first.startswith(
-            ("csv://", "csv.gz://", "txt://", "txt.gz://")
-        ) or first.endswith(("csv", "csv.gz", "tsv", "tsv.gz", "txt", "txt.gz")):
-            return self.read_csv(source, table_name=table_name, **kwargs)
-        else:
-            self._register_failure()
-        return None
-
-    def _register_failure(self):
-        import inspect
-
-        msg = ", ".join(
-            m[0] for m in inspect.getmembers(self) if m[0].startswith("read_")
-        )
-        raise ValueError(
-            f"Cannot infer appropriate read function for input, "
-            f"please call one of {msg} directly"
-        )
-
     def _add_table(self, name: str, obj: pl.LazyFrame | pl.DataFrame) -> None:
         if isinstance(obj, pl.DataFrame):
             obj = obj.lazy()
@@ -390,19 +329,20 @@ def create_table(
     ) -> ir.Table:
         if database is not None:
             raise com.IbisError(
-                "Passing `database` to the Polars backend create_table method has no "
-                "effect: Polars cannot set a database."
+                "Passing `database` to the Polars backend's `create_table()` method is "
+                "not supported: Polars cannot set a database."
             )
 
         if temp is False:
             raise com.IbisError(
-                "Passing `temp=False` to the Polars backend create_table method is not "
-                "supported: all tables are in memory and temporary."
+                "Passing `temp=False` to the Polars backend's `create_table()` method "
+                "is not supported: all tables are in memory and temporary."
             )
 
         if not overwrite and name in self._tables:
             raise com.IntegrityError(
-                f"Table {name} already exists. Use overwrite=True to clobber existing tables"
+                f"Table {name!r} already exists. Use `overwrite=True` to clobber "
+                "existing tables."
             )
 
         if schema is not None and obj is None:
diff --git a/ibis/backends/polars/rewrites.py b/ibis/backends/polars/rewrites.py
index 24768b80fd617..32cd2966b0fb7 100644
--- a/ibis/backends/polars/rewrites.py
+++ b/ibis/backends/polars/rewrites.py
@@ -7,7 +7,7 @@
 from ibis.common.annotations import attribute
 from ibis.common.collections import FrozenDict
 from ibis.common.patterns import replace
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.schema import Schema
 
 
diff --git a/ibis/backends/postgres/tests/test_functions.py b/ibis/backends/postgres/tests/test_functions.py
index 95423a59c4df4..a07c8d81aeb87 100644
--- a/ibis/backends/postgres/tests/test_functions.py
+++ b/ibis/backends/postgres/tests/test_functions.py
@@ -357,21 +357,14 @@ def test_coalesce(con, expr, expected):
 
 
 @pytest.mark.parametrize(
-    ("expr", "expected"),
+    "expr",
     [
-        param(ibis.coalesce(ibis.null(), ibis.null()), None, id="all_null"),
-        param(
-            ibis.coalesce(
-                ibis.null().cast("int8"),
-                ibis.null().cast("int8"),
-                ibis.null().cast("int8"),
-            ),
-            None,
-            id="all_nulls_with_all_cast",
-        ),
+        ibis.coalesce(*([ibis.null()] * 2)),
+        ibis.coalesce(*([ibis.null().cast("int8")] * 3)),
     ],
+    ids=["all", "all_with_cast"],
 )
-def test_coalesce_all_na(con, expr, expected):
+def test_coalesce_all_na(con, expr):
     assert con.execute(expr) is None
 
 
@@ -469,7 +462,7 @@ def test_category_label(alltypes, df):
     bins = [0, 10, 25, 50, 100]
     labels = ["a", "b", "c", "d"]
     bucket = d.bucket(bins)
-    expr = bucket.label(labels)
+    expr = bucket.cases(*enumerate(labels), else_=None)
     result = expr.execute()
 
     with warnings.catch_warnings():
@@ -497,68 +490,68 @@ def test_union_cte(alltypes, distinct, assert_sql):
     ("func", "pandas_func"),
     [
         param(
-            lambda t, cond: t.bool_col.count(),
-            lambda df, cond: df.bool_col.count(),
+            lambda t, _: t.bool_col.count(),
+            lambda df, _: df.bool_col.count(),
             id="count",
         ),
         param(
-            lambda t, cond: t.bool_col.any(),
-            lambda df, cond: df.bool_col.any(),
+            lambda t, _: t.bool_col.any(),
+            lambda df, _: df.bool_col.any(),
             id="any",
         ),
         param(
-            lambda t, cond: t.bool_col.all(),
-            lambda df, cond: df.bool_col.all(),
+            lambda t, _: t.bool_col.all(),
+            lambda df, _: df.bool_col.all(),
             id="all",
         ),
         param(
-            lambda t, cond: t.bool_col.notany(),
-            lambda df, cond: ~df.bool_col.any(),
+            lambda t, _: t.bool_col.notany(),
+            lambda df, _: ~df.bool_col.any(),
             id="notany",
         ),
         param(
-            lambda t, cond: t.bool_col.notall(),
-            lambda df, cond: ~df.bool_col.all(),
+            lambda t, _: t.bool_col.notall(),
+            lambda df, _: ~df.bool_col.all(),
             id="notall",
         ),
         param(
-            lambda t, cond: t.double_col.sum(),
-            lambda df, cond: df.double_col.sum(),
+            lambda t, _: t.double_col.sum(),
+            lambda df, _: df.double_col.sum(),
             id="sum",
         ),
         param(
-            lambda t, cond: t.double_col.mean(),
-            lambda df, cond: df.double_col.mean(),
+            lambda t, _: t.double_col.mean(),
+            lambda df, _: df.double_col.mean(),
             id="mean",
         ),
         param(
-            lambda t, cond: t.double_col.min(),
-            lambda df, cond: df.double_col.min(),
+            lambda t, _: t.double_col.min(),
+            lambda df, _: df.double_col.min(),
             id="min",
         ),
         param(
-            lambda t, cond: t.double_col.max(),
-            lambda df, cond: df.double_col.max(),
+            lambda t, _: t.double_col.max(),
+            lambda df, _: df.double_col.max(),
             id="max",
         ),
         param(
-            lambda t, cond: t.double_col.var(),
-            lambda df, cond: df.double_col.var(),
+            lambda t, _: t.double_col.var(),
+            lambda df, _: df.double_col.var(),
             id="var",
         ),
         param(
-            lambda t, cond: t.double_col.std(),
-            lambda df, cond: df.double_col.std(),
+            lambda t, _: t.double_col.std(),
+            lambda df, _: df.double_col.std(),
             id="std",
         ),
         param(
-            lambda t, cond: t.double_col.var(how="sample"),
-            lambda df, cond: df.double_col.var(ddof=1),
+            lambda t, _: t.double_col.var(how="sample"),
+            lambda df, _: df.double_col.var(ddof=1),
             id="samp_var",
         ),
         param(
-            lambda t, cond: t.double_col.std(how="pop"),
-            lambda df, cond: df.double_col.std(ddof=0),
+            lambda t, _: t.double_col.std(how="pop"),
+            lambda df, _: df.double_col.std(ddof=0),
             id="pop_std",
         ),
         param(
diff --git a/ibis/backends/pyspark/__init__.py b/ibis/backends/pyspark/__init__.py
index a522b2c93a170..519b85d7d0260 100644
--- a/ibis/backends/pyspark/__init__.py
+++ b/ibis/backends/pyspark/__init__.py
@@ -28,7 +28,6 @@
 from ibis.backends.sql.compilers.base import AlterTable, RenameTable
 from ibis.expr.operations.udf import InputType
 from ibis.legacy.udf.vectorized import _coerce_to_series
-from ibis.util import deprecated
 
 try:
     from pyspark.errors import ParseException
@@ -58,13 +57,6 @@ class SparkConnectGrpcException(Exception):
 ConnectionMode = Literal["streaming", "batch"]
 
 
-def normalize_filenames(source_list):
-    # Promote to list
-    source_list = util.promote_list(source_list)
-
-    return list(map(util.normalize_filename, source_list))
-
-
 @F.pandas_udf(returnType=DoubleType(), functionType=F.PandasUDFType.SCALAR)
 def unwrap_json_float(s: pd.Series) -> pd.Series:
     import json
@@ -872,7 +864,7 @@ def read_csv(
             )
         inferSchema = kwargs.pop("inferSchema", True)
         header = kwargs.pop("header", True)
-        source_list = normalize_filenames(source_list)
+        source_list = util.normalize_filenames(source_list)
         spark_df = self._session.read.csv(
             source_list, inferSchema=inferSchema, header=header, **kwargs
         )
@@ -912,72 +904,13 @@ def read_json(
                 "Pyspark in streaming mode does not support direction registration of JSON files. "
                 "Please use `read_json_dir` instead."
             )
-        source_list = normalize_filenames(source_list)
+        source_list = util.normalize_filenames(source_list)
         spark_df = self._session.read.json(source_list, **kwargs)
         table_name = table_name or util.gen_name("read_json")
 
         spark_df.createOrReplaceTempView(table_name)
         return self.table(table_name)
 
-    @deprecated(
-        as_of="9.1",
-        instead="use the explicit `read_*` method for the filetype you are trying to read, e.g., read_parquet, read_csv, etc.",
-    )
-    def register(
-        self,
-        source: str | Path | Any,
-        table_name: str | None = None,
-        **kwargs: Any,
-    ) -> ir.Table:
-        """Register a data source as a table in the current database.
-
-        Parameters
-        ----------
-        source
-            The data source(s). May be a path to a file or directory of
-            parquet/csv files, or an iterable of CSV files.
-        table_name
-            An optional name to use for the created table. This defaults to
-            a random generated name.
-        **kwargs
-            Additional keyword arguments passed to PySpark loading functions for
-            CSV or parquet.
-
-        Returns
-        -------
-        ir.Table
-            The just-registered table
-
-        """
-        if isinstance(source, (str, Path)):
-            first = str(source)
-        elif isinstance(source, (list, tuple)):
-            first = source[0]
-        else:
-            self._register_failure()
-
-        if first.startswith(("parquet://", "parq://")) or first.endswith(
-            ("parq", "parquet")
-        ):
-            return self.read_parquet(source, table_name=table_name, **kwargs)
-        elif first.startswith(
-            ("csv://", "csv.gz://", "txt://", "txt.gz://")
-        ) or first.endswith(("csv", "csv.gz", "tsv", "tsv.gz", "txt", "txt.gz")):
-            return self.read_csv(source, table_name=table_name, **kwargs)
-        else:
-            self._register_failure()  # noqa: RET503
-
-    def _register_failure(self):
-        import inspect
-
-        msg = ", ".join(
-            name for name, _ in inspect.getmembers(self) if name.startswith("read_")
-        )
-        raise ValueError(
-            f"Cannot infer appropriate read function for input, "
-            f"please call one of {msg} directly"
-        )
-
     @util.experimental
     def to_delta(
         self,
diff --git a/ibis/backends/risingwave/tests/test_functions.py b/ibis/backends/risingwave/tests/test_functions.py
index 7d31e7ae3e872..38be06b1281d8 100644
--- a/ibis/backends/risingwave/tests/test_functions.py
+++ b/ibis/backends/risingwave/tests/test_functions.py
@@ -301,7 +301,7 @@ def test_category_label(alltypes, df):
     bins = [0, 10, 25, 50, 100]
     labels = ["a", "b", "c", "d"]
     bucket = d.bucket(bins)
-    expr = bucket.label(labels)
+    expr = bucket.cases(*enumerate(labels), else_=None)
     result = expr.execute()
 
     with warnings.catch_warnings():
diff --git a/ibis/backends/sql/compilers/__init__.py b/ibis/backends/sql/compilers/__init__.py
index 3f876ec9b44ee..1c27d09ddab7f 100644
--- a/ibis/backends/sql/compilers/__init__.py
+++ b/ibis/backends/sql/compilers/__init__.py
@@ -3,8 +3,8 @@
 __all__ = [
     "BigQueryCompiler",
     "ClickHouseCompiler",
-    "DatabricksCompiler",
     "DataFusionCompiler",
+    "DatabricksCompiler",
     "DruidCompiler",
     "DuckDBCompiler",
     "ExasolCompiler",
@@ -16,8 +16,8 @@
     "PostgresCompiler",
     "PySparkCompiler",
     "RisingWaveCompiler",
-    "SnowflakeCompiler",
     "SQLiteCompiler",
+    "SnowflakeCompiler",
     "TrinoCompiler",
 ]
 
diff --git a/ibis/backends/sql/compilers/base.py b/ibis/backends/sql/compilers/base.py
index 02b198ab930a3..16741aaada48c 100644
--- a/ibis/backends/sql/compilers/base.py
+++ b/ibis/backends/sql/compilers/base.py
@@ -80,7 +80,7 @@ class AggGen:
     class _Accessor:
         """An internal type to handle getattr/getitem access."""
 
-        __slots__ = ("handler", "compiler")
+        __slots__ = ("compiler", "handler")
 
         def __init__(self, handler: Callable, compiler: SQLGlotCompiler):
             self.handler = handler
@@ -175,7 +175,7 @@ def __getitem__(self, key: str) -> Callable[..., sge.Anonymous]:
 
 
 class FuncGen:
-    __slots__ = ("dialect", "namespace", "anon", "copy")
+    __slots__ = ("anon", "copy", "dialect", "namespace")
 
     def __init__(
         self, *, dialect: sg.Dialect, namespace: str | None = None, copy: bool = False
diff --git a/ibis/backends/sql/compilers/bigquery/__init__.py b/ibis/backends/sql/compilers/bigquery/__init__.py
index 3b27524db93d8..2b62903d00098 100644
--- a/ibis/backends/sql/compilers/bigquery/__init__.py
+++ b/ibis/backends/sql/compilers/bigquery/__init__.py
@@ -237,7 +237,6 @@ def to_sqlglot(
         sql = super().to_sqlglot(expr, limit=limit, params=params)
 
         table_expr = expr.as_table()
-        geocols = table_expr.schema().geospatial
 
         memtable_names = frozenset(
             op.name for op in table_expr.op().find(ops.InMemoryTable)
@@ -250,24 +249,6 @@ def to_sqlglot(
             memtable_names=memtable_names,
         ).transform(_remove_null_ordering_from_unsupported_window)
 
-        if geocols:
-            # if there are any geospatial columns, we have to convert them to WKB,
-            # so interactive mode knows how to display them
-            #
-            # by default bigquery returns data to python as WKT, and there's really
-            # no point in supporting both if we don't need to.
-            quoted = self.quoted
-            result = sg.select(
-                sge.Star(
-                    replace=[
-                        self.f.st_asbinary(sg.column(col, quoted=quoted)).as_(
-                            col, quoted=quoted
-                        )
-                        for col in geocols
-                    ]
-                )
-            ).from_(result.subquery())
-
         sources = []
 
         for udf_node in table_expr.op().find(ops.ScalarUDF):
diff --git a/ibis/backends/sql/compilers/bigquery/udf/core.py b/ibis/backends/sql/compilers/bigquery/udf/core.py
index 9cffb420840a2..ead41cfa8cc40 100644
--- a/ibis/backends/sql/compilers/bigquery/udf/core.py
+++ b/ibis/backends/sql/compilers/bigquery/udf/core.py
@@ -8,6 +8,7 @@
 import inspect
 import textwrap
 from collections import ChainMap
+from inspect import _empty as EMPTY
 from typing import TYPE_CHECKING
 
 from ibis.backends.sql.compilers.bigquery.udf.find import find_names
@@ -66,7 +67,7 @@ def wrapper(*args, **kwargs):
     return wrapper
 
 
-@rewrite.register(ast.Call(func=ast.Name(id="print")))
+@rewrite.register(ast.Call(func=ast.Name(id="print"), args=EMPTY, keywords=EMPTY))
 def rewrite_print(node):
     return ast.Call(
         func=ast.Attribute(
@@ -79,13 +80,15 @@ def rewrite_print(node):
     )
 
 
-@rewrite.register(ast.Call(func=ast.Name(id="len")))
+@rewrite.register(ast.Call(func=ast.Name(id="len"), args=EMPTY, keywords=EMPTY))
 def rewrite_len(node):
     assert len(node.args) == 1
     return ast.Attribute(value=node.args[0], attr="length", ctx=ast.Load())
 
 
-@rewrite.register(ast.Call(func=ast.Attribute(attr="append")))
+@rewrite.register(
+    ast.Call(func=ast.Attribute(attr="append", value=None), args=EMPTY, keywords=EMPTY)
+)
 def rewrite_append(node):
     return ast.Call(
         func=ast.Attribute(value=node.func.value, attr="push", ctx=ast.Load()),
@@ -95,7 +98,11 @@ def rewrite_append(node):
 
 
 @rewrite.register(
-    ast.Call(func=ast.Attribute(value=ast.Name(id="Array"), attr="from_"))
+    ast.Call(
+        func=ast.Attribute(value=ast.Name(id="Array"), attr="from_"),
+        args=EMPTY,
+        keywords=EMPTY,
+    )
 )
 def rewrite_array_from(node):
     return ast.Call(
diff --git a/ibis/backends/sql/compilers/bigquery/udf/rewrite.py b/ibis/backends/sql/compilers/bigquery/udf/rewrite.py
index 88f154e7dd1a8..b0148d1502a42 100644
--- a/ibis/backends/sql/compilers/bigquery/udf/rewrite.py
+++ b/ibis/backends/sql/compilers/bigquery/udf/rewrite.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import ast
+from inspect import _empty as EMPTY
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
@@ -20,7 +21,7 @@ def matches(value: ast.AST, pattern: ast.AST) -> bool:
     fields = [
         (field, getattr(pattern, field))
         for field in pattern._fields
-        if hasattr(pattern, field)
+        if hasattr(pattern, field) and getattr(pattern, field) is not EMPTY
     ]
     return all(
         matches(getattr(value, field_name), field_value)
diff --git a/ibis/backends/sql/compilers/risingwave.py b/ibis/backends/sql/compilers/risingwave.py
index c4baf94d6723f..381649af3347a 100644
--- a/ibis/backends/sql/compilers/risingwave.py
+++ b/ibis/backends/sql/compilers/risingwave.py
@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import sqlglot as sg
 import sqlglot.expressions as sge
 
 import ibis.common.exceptions as com
@@ -40,25 +41,23 @@ def visit_DateNow(self, op):
         return self.cast(sge.CurrentTimestamp(), dt.date)
 
     def visit_First(self, op, *, arg, where, order_by, include_null):
-        if include_null:
-            raise com.UnsupportedOperationError(
-                "`include_null=True` is not supported by the risingwave backend"
-            )
         if not order_by:
             raise com.UnsupportedOperationError(
                 "RisingWave requires an `order_by` be specified in `first`"
             )
+        if not include_null:
+            cond = arg.is_(sg.not_(NULL, copy=False))
+            where = cond if where is None else sge.And(this=cond, expression=where)
         return self.agg.first_value(arg, where=where, order_by=order_by)
 
     def visit_Last(self, op, *, arg, where, order_by, include_null):
-        if include_null:
-            raise com.UnsupportedOperationError(
-                "`include_null=True` is not supported by the risingwave backend"
-            )
         if not order_by:
             raise com.UnsupportedOperationError(
                 "RisingWave requires an `order_by` be specified in `last`"
             )
+        if not include_null:
+            cond = arg.is_(sg.not_(NULL, copy=False))
+            where = cond if where is None else sge.And(this=cond, expression=where)
         return self.agg.last_value(arg, where=where, order_by=order_by)
 
     def visit_Correlation(self, op, *, left, right, how, where):
diff --git a/ibis/backends/sql/datatypes.py b/ibis/backends/sql/datatypes.py
index 8b56760a0baf1..5d19a4332b197 100644
--- a/ibis/backends/sql/datatypes.py
+++ b/ibis/backends/sql/datatypes.py
@@ -102,6 +102,12 @@
     # XML = auto()
 }
 
+if sg.__version_tuple__[0] >= 26:
+    _from_sqlglot_types |= {
+        typecode.DATETIME2: dt.Timestamp,
+        typecode.SMALLDATETIME: dt.Timestamp,
+    }
+
 _to_sqlglot_types = {
     dt.Null: typecode.NULL,
     dt.Boolean: typecode.BOOLEAN,
diff --git a/ibis/backends/sql/rewrites.py b/ibis/backends/sql/rewrites.py
index 6dcdeafc97e07..f51148025dc59 100644
--- a/ibis/backends/sql/rewrites.py
+++ b/ibis/backends/sql/rewrites.py
@@ -14,11 +14,11 @@
 import ibis.expr.datatypes as dt
 import ibis.expr.operations as ops
 from ibis.common.annotations import attribute
-from ibis.common.collections import FrozenDict  # noqa: TCH001
+from ibis.common.collections import FrozenDict  # noqa: TC001
 from ibis.common.deferred import var
 from ibis.common.graph import Graph
 from ibis.common.patterns import InstanceOf, Object, Pattern, replace
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.rewrites import d, p, replace_parameter
 from ibis.expr.schema import Schema
 
@@ -320,7 +320,9 @@ def merge_select_select(_, **kwargs):
         selections=selections,
         predicates=unique_predicates,
         qualified=unique_qualified,
-        sort_keys=unique_sort_keys,
+        sort_keys=tuple(
+            key for key in unique_sort_keys if not isinstance(key.expr, ops.Literal)
+        ),
         distinct=distinct,
     )
     return result if complexity(result) <= complexity(_) else _
diff --git a/ibis/backends/sqlite/tests/test_client.py b/ibis/backends/sqlite/tests/test_client.py
index f039cd5fabbaf..8b6b767c28b29 100644
--- a/ibis/backends/sqlite/tests/test_client.py
+++ b/ibis/backends/sqlite/tests/test_client.py
@@ -71,8 +71,9 @@ def total(x) -> float:
 )
 def test_connect(url, ext, tmp_path):
     path = os.path.abspath(tmp_path / f"test.{ext}")
-    with sqlite3.connect(path):
-        pass
+
+    sqlite3.connect(path).close()
+
     con = ibis.connect(url(path))
     one = ibis.literal(1)
     assert con.execute(one) == 1
diff --git a/ibis/backends/sqlite/tests/test_types.py b/ibis/backends/sqlite/tests/test_types.py
index 14f8eeebd9f91..fb6598391f41e 100644
--- a/ibis/backends/sqlite/tests/test_types.py
+++ b/ibis/backends/sqlite/tests/test_types.py
@@ -37,26 +37,29 @@
 def db(tmp_path_factory):
     path = str(tmp_path_factory.mktemp("databases") / "formats.db")
     con = sqlite3.connect(path)
-    con.execute("CREATE TABLE timestamps (ts TIMESTAMP)")
-    con.execute("CREATE TABLE timestamps_tz (ts TIMESTAMPTZ)")
-    con.execute("CREATE TABLE weird (str_col STRING, date_col ITSADATE)")
-    con.execute("CREATE TABLE basic (a INTEGER, b REAL, c BOOLEAN, d BLOB)")
-    with con:
-        con.executemany("INSERT INTO timestamps VALUES (?)", [(t,) for t in TIMESTAMPS])
-        con.executemany(
-            "INSERT INTO timestamps_tz VALUES (?)",
-            [(t,) for t in TIMESTAMPS_TZ],
-        )
-        con.executemany(
-            "INSERT INTO weird VALUES (?, ?)",
-            [
-                ("a", "2022-01-01"),
-                ("b", "2022-01-02"),
-                ("c", "2022-01-03"),
-                ("d", "2022-01-04"),
-            ],
-        )
-    con.close()
+    try:
+        with con:
+            con.execute("CREATE TABLE timestamps (ts TIMESTAMP)")
+            con.execute("CREATE TABLE timestamps_tz (ts TIMESTAMPTZ)")
+            con.execute("CREATE TABLE weird (str_col STRING, date_col ITSADATE)")
+            con.execute("CREATE TABLE basic (a INTEGER, b REAL, c BOOLEAN, d BLOB)")
+            con.executemany(
+                "INSERT INTO timestamps VALUES (?)", [(t,) for t in TIMESTAMPS]
+            )
+            con.executemany(
+                "INSERT INTO timestamps_tz VALUES (?)", [(t,) for t in TIMESTAMPS_TZ]
+            )
+            con.executemany(
+                "INSERT INTO weird VALUES (?, ?)",
+                [
+                    ("a", "2022-01-01"),
+                    ("b", "2022-01-02"),
+                    ("c", "2022-01-03"),
+                    ("d", "2022-01-04"),
+                ],
+            )
+    finally:
+        con.close()
     return path
 
 
diff --git a/ibis/backends/tests/errors.py b/ibis/backends/tests/errors.py
index ca540a359a461..8b9e9a2eb5dde 100644
--- a/ibis/backends/tests/errors.py
+++ b/ibis/backends/tests/errors.py
@@ -53,6 +53,7 @@
         ArithmeticException as PySparkArithmeticException,
     )
     from pyspark.errors.exceptions.base import ParseException as PySparkParseException
+    from pyspark.errors.exceptions.base import PySparkValueError
     from pyspark.errors.exceptions.base import PythonException as PySparkPythonException
     from pyspark.errors.exceptions.connect import (
         SparkConnectGrpcException as PySparkConnectGrpcException,
@@ -60,7 +61,7 @@
 except ImportError:
     PySparkParseException = PySparkAnalysisException = PySparkArithmeticException = (
         PySparkPythonException
-    ) = PySparkConnectGrpcException = None
+    ) = PySparkConnectGrpcException = PySparkValueError = None
 
 try:
     from google.api_core.exceptions import BadRequest as GoogleBadRequest
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/bigquery/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/bigquery/out.sql
new file mode 100644
index 0000000000000..dedc0ae8059f7
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/bigquery/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  `t0`.`a`,
+  9 AS `i`,
+  'foo' AS `s`
+FROM `test` AS `t0`
+ORDER BY
+  `t0`.`a` ASC NULLS LAST
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/clickhouse/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/clickhouse/out.sql
new file mode 100644
index 0000000000000..f83550410464d
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/clickhouse/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a" AS "a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/databricks/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/databricks/out.sql
new file mode 100644
index 0000000000000..dedc0ae8059f7
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/databricks/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  `t0`.`a`,
+  9 AS `i`,
+  'foo' AS `s`
+FROM `test` AS `t0`
+ORDER BY
+  `t0`.`a` ASC NULLS LAST
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/datafusion/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/datafusion/out.sql
new file mode 100644
index 0000000000000..20d130d688148
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/datafusion/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/druid/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/druid/out.sql
new file mode 100644
index 0000000000000..20d130d688148
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/druid/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/duckdb/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/duckdb/out.sql
new file mode 100644
index 0000000000000..20d130d688148
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/duckdb/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/exasol/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/exasol/out.sql
new file mode 100644
index 0000000000000..20d130d688148
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/exasol/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/flink/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/flink/out.sql
new file mode 100644
index 0000000000000..dedc0ae8059f7
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/flink/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  `t0`.`a`,
+  9 AS `i`,
+  'foo' AS `s`
+FROM `test` AS `t0`
+ORDER BY
+  `t0`.`a` ASC NULLS LAST
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/impala/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/impala/out.sql
new file mode 100644
index 0000000000000..56acf13d5c8df
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/impala/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  `t0`.`a`,
+  9 AS `i`,
+  'foo' AS `s`
+FROM `test` AS `t0`
+ORDER BY
+  `t0`.`a` ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/mssql/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/mssql/out.sql
new file mode 100644
index 0000000000000..0474550f8089a
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/mssql/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  [t0].[a],
+  9 AS [i],
+  'foo' AS [s]
+FROM [test] AS [t0]
+ORDER BY
+  CASE WHEN [t0].[a] IS NULL THEN 1 ELSE 0 END, [t0].[a] ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/mysql/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/mysql/out.sql
new file mode 100644
index 0000000000000..dea7ffd250fc7
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/mysql/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  `t0`.`a`,
+  9 AS `i`,
+  'foo' AS `s`
+FROM `test` AS `t0`
+ORDER BY
+  CASE WHEN `t0`.`a` IS NULL THEN 1 ELSE 0 END, `t0`.`a` ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/oracle/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/oracle/out.sql
new file mode 100644
index 0000000000000..1d506b5672363
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/oracle/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/postgres/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/postgres/out.sql
new file mode 100644
index 0000000000000..20d130d688148
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/postgres/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/pyspark/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/pyspark/out.sql
new file mode 100644
index 0000000000000..dedc0ae8059f7
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/pyspark/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  `t0`.`a`,
+  9 AS `i`,
+  'foo' AS `s`
+FROM `test` AS `t0`
+ORDER BY
+  `t0`.`a` ASC NULLS LAST
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/risingwave/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/risingwave/out.sql
new file mode 100644
index 0000000000000..20d130d688148
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/risingwave/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/snowflake/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/snowflake/out.sql
new file mode 100644
index 0000000000000..20d130d688148
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/snowflake/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/sqlite/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/sqlite/out.sql
new file mode 100644
index 0000000000000..e0cfd7cd3fed3
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/sqlite/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC NULLS LAST
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/trino/out.sql b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/trino/out.sql
new file mode 100644
index 0000000000000..20d130d688148
--- /dev/null
+++ b/ibis/backends/tests/snapshots/test_sql/test_order_by_no_deference_literals/trino/out.sql
@@ -0,0 +1,7 @@
+SELECT
+  "t0"."a",
+  9 AS "i",
+  'foo' AS "s"
+FROM "test" AS "t0"
+ORDER BY
+  "t0"."a" ASC
\ No newline at end of file
diff --git a/ibis/backends/tests/snapshots/test_sql/test_union_aliasing/duckdb/out.sql b/ibis/backends/tests/snapshots/test_sql/test_union_aliasing/duckdb/out.sql
index f20e2b58b33e0..f8186ab49f780 100644
--- a/ibis/backends/tests/snapshots/test_sql/test_union_aliasing/duckdb/out.sql
+++ b/ibis/backends/tests/snapshots/test_sql/test_union_aliasing/duckdb/out.sql
@@ -27,24 +27,24 @@ WITH "t5" AS (
             "t0"."field_of_study",
             UNNEST(
               CAST([
-                ROW('1970-71', "t0"."1970-71"),
-                ROW('1975-76', "t0"."1975-76"),
-                ROW('1980-81', "t0"."1980-81"),
-                ROW('1985-86', "t0"."1985-86"),
-                ROW('1990-91', "t0"."1990-91"),
-                ROW('1995-96', "t0"."1995-96"),
-                ROW('2000-01', "t0"."2000-01"),
-                ROW('2005-06', "t0"."2005-06"),
-                ROW('2010-11', "t0"."2010-11"),
-                ROW('2011-12', "t0"."2011-12"),
-                ROW('2012-13', "t0"."2012-13"),
-                ROW('2013-14', "t0"."2013-14"),
-                ROW('2014-15', "t0"."2014-15"),
-                ROW('2015-16', "t0"."2015-16"),
-                ROW('2016-17', "t0"."2016-17"),
-                ROW('2017-18', "t0"."2017-18"),
-                ROW('2018-19', "t0"."2018-19"),
-                ROW('2019-20', "t0"."2019-20")
+                {'years': '1970-71', 'degrees': "t0"."1970-71"},
+                {'years': '1975-76', 'degrees': "t0"."1975-76"},
+                {'years': '1980-81', 'degrees': "t0"."1980-81"},
+                {'years': '1985-86', 'degrees': "t0"."1985-86"},
+                {'years': '1990-91', 'degrees': "t0"."1990-91"},
+                {'years': '1995-96', 'degrees': "t0"."1995-96"},
+                {'years': '2000-01', 'degrees': "t0"."2000-01"},
+                {'years': '2005-06', 'degrees': "t0"."2005-06"},
+                {'years': '2010-11', 'degrees': "t0"."2010-11"},
+                {'years': '2011-12', 'degrees': "t0"."2011-12"},
+                {'years': '2012-13', 'degrees': "t0"."2012-13"},
+                {'years': '2013-14', 'degrees': "t0"."2013-14"},
+                {'years': '2014-15', 'degrees': "t0"."2014-15"},
+                {'years': '2015-16', 'degrees': "t0"."2015-16"},
+                {'years': '2016-17', 'degrees': "t0"."2016-17"},
+                {'years': '2017-18', 'degrees': "t0"."2017-18"},
+                {'years': '2018-19', 'degrees': "t0"."2018-19"},
+                {'years': '2019-20', 'degrees': "t0"."2019-20"}
               ] AS STRUCT("years" TEXT, "degrees" BIGINT)[])
             ) AS "__pivoted__"
           FROM "humanities" AS "t0"
diff --git a/ibis/backends/tests/test_aggregation.py b/ibis/backends/tests/test_aggregation.py
index 91ff9c7f2d47b..3b86de2b1eb67 100644
--- a/ibis/backends/tests/test_aggregation.py
+++ b/ibis/backends/tests/test_aggregation.py
@@ -470,12 +470,19 @@ def mean_and_std(v):
             lambda t, where: t.string_col.approx_nunique(where=where),
             lambda t, where: t.string_col[where].nunique(),
             id="approx_nunique",
-            marks=pytest.mark.xfail_version(
-                duckdb=["duckdb>=1.1"],
-                raises=AssertionError,
-                reason="not exact, even at this tiny scale",
-                strict=False,
-            ),
+            marks=[
+                pytest.mark.xfail_version(
+                    duckdb=["duckdb>=1.1"],
+                    raises=AssertionError,
+                    reason="not exact, even at this tiny scale",
+                    strict=False,
+                ),
+                pytest.mark.notimpl(
+                    ["datafusion"],
+                    reason="data type is not supported",
+                    raises=Exception,
+                ),
+            ],
         ),
         param(
             lambda t, where: t.bigint_col.bit_and(where=where),
@@ -640,23 +647,16 @@ def test_first_last(alltypes, method, filtered, include_null):
     raises=com.OperationNotDefinedError,
 )
 @pytest.mark.parametrize("method", ["first", "last"])
-@pytest.mark.parametrize("filtered", [False, True])
+@pytest.mark.parametrize("filtered", [False, True], ids=["not-filtered", "filtered"])
 @pytest.mark.parametrize(
     "include_null",
     [
-        False,
+        param(False, id="exclude-null"),
         param(
             True,
             marks=[
                 pytest.mark.notimpl(
-                    [
-                        "clickhouse",
-                        "exasol",
-                        "flink",
-                        "postgres",
-                        "risingwave",
-                        "snowflake",
-                    ],
+                    ["clickhouse", "exasol", "flink", "postgres", "snowflake"],
                     raises=com.UnsupportedOperationError,
                     reason="`include_null=True` is not supported",
                 ),
@@ -667,6 +667,7 @@ def test_first_last(alltypes, method, filtered, include_null):
                     strict=False,
                 ),
             ],
+            id="include-null",
         ),
     ],
 )
diff --git a/ibis/backends/tests/test_array.py b/ibis/backends/tests/test_array.py
index 4495f9628be77..cef10bed034fa 100644
--- a/ibis/backends/tests/test_array.py
+++ b/ibis/backends/tests/test_array.py
@@ -192,7 +192,13 @@ def test_array_concat_scalar(con, op):
     reason="doesn't support nullable arrays",
 )
 @pytest.mark.notyet(
-    ["bigquery"], raises=AssertionError, reason="bigquery treats null arrays as empty"
+    ["bigquery"],
+    raises=ValueError,
+    reason=(
+        "bigquery treats null arrays as empty "
+        "and a ValueError is raised from `pd.isna` "
+        "when the value is not a truthy value"
+    ),
 )
 def test_array_concat_with_null(con, op):
     non_null_value = ibis.array([2**31 - 1])
diff --git a/ibis/backends/tests/test_client.py b/ibis/backends/tests/test_client.py
index 3b1164426d606..19fd3933266ae 100644
--- a/ibis/backends/tests/test_client.py
+++ b/ibis/backends/tests/test_client.py
@@ -927,27 +927,6 @@ def test_self_join_memory_table(backend, con, monkeypatch):
         param(
             lambda: pa.table({"a": ["a"], "b": [1]}).to_batches()[0],
             "df_arrow_single_batch",
-            marks=[
-                pytest.mark.notimpl(
-                    [
-                        "bigquery",
-                        "clickhouse",
-                        "duckdb",
-                        "exasol",
-                        "impala",
-                        "mssql",
-                        "mysql",
-                        "oracle",
-                        "postgres",
-                        "pyspark",
-                        "risingwave",
-                        "snowflake",
-                        "sqlite",
-                        "trino",
-                        "databricks",
-                    ]
-                )
-            ],
             id="pyarrow_single_batch",
         ),
         param(
diff --git a/ibis/backends/tests/test_examples.py b/ibis/backends/tests/test_examples.py
index 86cf2132873f8..56dd8040f7c58 100644
--- a/ibis/backends/tests/test_examples.py
+++ b/ibis/backends/tests/test_examples.py
@@ -16,7 +16,9 @@
     reason="nix on linux cannot download duckdb extensions or data due to sandboxing",
 )
 @pytest.mark.notimpl(["pyspark", "exasol", "databricks"])
-@pytest.mark.notyet(["clickhouse", "druid", "impala", "mssql", "trino", "risingwave"])
+@pytest.mark.notyet(
+    ["clickhouse", "druid", "impala", "mssql", "trino", "risingwave", "datafusion"]
+)
 @pytest.mark.parametrize(
     ("example", "columns"),
     [
diff --git a/ibis/backends/tests/test_export.py b/ibis/backends/tests/test_export.py
index f7ac43e4c22a6..189d38c98e5a1 100644
--- a/ibis/backends/tests/test_export.py
+++ b/ibis/backends/tests/test_export.py
@@ -432,9 +432,9 @@ def test_to_pyarrow_decimal(backend, dtype, pyarrow_dtype):
 @pytest.mark.notyet(["clickhouse"], raises=Exception)
 @pytest.mark.notyet(["mssql"], raises=PyDeltaTableError)
 @pytest.mark.xfail_version(
-    pyspark=["pyspark==3.5.3"],
+    pyspark=["pyspark<4"],
     condition=CI and IS_SPARK_REMOTE,
-    reason="unclear, but pyspark 3.5.3 fails to write delta on CI when using spark-connect",
+    reason="not supported until pyspark 4",
 )
 def test_roundtrip_delta(backend, con, alltypes, tmp_path, monkeypatch):
     if con.name == "pyspark":
@@ -586,9 +586,22 @@ def test_column_to_memory(limit, awards_players, output_format, expected_column_
     method = methodcaller(f"to_{output_format}", limit=limit)
     res = method(awards_players.awardID)
     assert isinstance(res, getattr(mod, expected_column_type))
-    assert (limit is not None and len(res) == limit) or len(
-        res
-    ) == awards_players.count().execute()
+    assert (
+        (len(res) == limit)
+        if limit is not None
+        else len(res) == awards_players.count().execute()
+    )
+
+
+@pytest.mark.parametrize("limit", limit_no_limit)
+def test_column_to_list(limit, awards_players):
+    res = awards_players.awardID.to_list(limit=limit)
+    assert isinstance(res, list)
+    assert (
+        (len(res) == limit)
+        if limit is not None
+        else len(res) == awards_players.count().execute()
+    )
 
 
 @pytest.mark.parametrize("limit", no_limit)
diff --git a/ibis/backends/tests/test_expr_caching.py b/ibis/backends/tests/test_expr_caching.py
index 164ba8273e608..9448da3c2e4e4 100644
--- a/ibis/backends/tests/test_expr_caching.py
+++ b/ibis/backends/tests/test_expr_caching.py
@@ -55,7 +55,7 @@ def test_persist_expression_contextmanager(backend, con, alltypes):
     assert non_cached_table.op() not in con._cache_op_to_entry
 
 
-@mark.notimpl(["datafusion", "flink", "impala", "trino", "druid"])
+@mark.notimpl(["flink", "impala", "trino", "druid"])
 @pytest.mark.never(
     ["risingwave"],
     raises=com.UnsupportedOperationError,
@@ -83,6 +83,7 @@ def test_persist_expression_multiple_refs(backend, con, alltypes):
     backend.assert_frame_equal(
         non_cached_table.order_by("id").to_pandas(),
         cached_table.order_by("id").to_pandas(),
+        check_dtype=False,
     )
 
     name = cached_table.op().name
@@ -105,7 +106,7 @@ def test_persist_expression_multiple_refs(backend, con, alltypes):
     assert name not in con.list_tables()
 
 
-@mark.notimpl(["datafusion", "flink", "impala", "trino", "druid"])
+@mark.notimpl(["flink", "impala", "trino", "druid"])
 @mark.notimpl(["exasol"], reason="Exasol does not support temporary tables")
 @pytest.mark.never(
     ["risingwave"],
@@ -127,7 +128,7 @@ def test_persist_expression_repeated_cache(alltypes, con):
     assert name not in con.list_tables()
 
 
-@mark.notimpl(["datafusion", "flink", "impala", "trino", "druid"])
+@mark.notimpl(["flink", "impala", "trino", "druid"])
 @mark.notimpl(["exasol"], reason="Exasol does not support temporary tables")
 @pytest.mark.never(
     ["risingwave"],
diff --git a/ibis/backends/tests/test_generic.py b/ibis/backends/tests/test_generic.py
index 634f26e520f9b..e6b2942ecadc1 100644
--- a/ibis/backends/tests/test_generic.py
+++ b/ibis/backends/tests/test_generic.py
@@ -1222,6 +1222,27 @@ def test_memtable_construct_from_pyarrow(backend, con, monkeypatch):
     )
 
 
+@pytest.mark.notimpl(
+    ["flink"], raises=TypeError, reason="doesn't support pyarrow objects yet"
+)
+def test_memtable_construct_from_pyarrow_c_stream(con):
+    pa = pytest.importorskip("pyarrow")
+
+    class Opaque:
+        def __init__(self, table):
+            self._table = table
+
+        def __arrow_c_stream__(self, *args, **kwargs):
+            return self._table.__arrow_c_stream__(*args, **kwargs)
+
+    table = pa.table({"a": list("abc"), "b": [1, 2, 3]})
+
+    t = ibis.memtable(Opaque(table))
+
+    res = con.to_pyarrow(t.order_by("a"))
+    assert res.equals(table)
+
+
 @pytest.mark.parametrize("lazy", [False, True])
 def test_memtable_construct_from_polars(backend, con, lazy):
     pl = pytest.importorskip("polars")
@@ -1273,6 +1294,24 @@ def test_memtable_column_naming_mismatch(con, monkeypatch, df, columns):
         ibis.memtable(df, columns=columns)
 
 
+@pytest.mark.notyet(
+    ["mssql", "mysql", "exasol", "impala"], reason="various syntax errors reported"
+)
+@pytest.mark.notyet(
+    ["snowflake"],
+    reason="unable to handle the varbinary geometry column",
+    raises=SnowflakeProgrammingError,
+)
+def test_memtable_from_geopandas_dataframe(con, data_dir):
+    gpd = pytest.importorskip("geopandas")
+    gdf = gpd.read_file(data_dir / "geojson" / "zones.geojson")[:5]
+
+    # Read in memtable
+    t = ibis.memtable(gdf)
+    # Execute a few rows to force ingestion
+    con.to_pandas(t.limit(2).select("geometry"))
+
+
 @pytest.mark.notimpl(["oracle", "exasol"], raises=com.OperationNotDefinedError)
 @pytest.mark.notimpl(["druid"], raises=AssertionError)
 @pytest.mark.notyet(
diff --git a/ibis/backends/tests/test_register.py b/ibis/backends/tests/test_io.py
similarity index 55%
rename from ibis/backends/tests/test_register.py
rename to ibis/backends/tests/test_io.py
index 1ca96eb422215..6d977f34cce04 100644
--- a/ibis/backends/tests/test_register.py
+++ b/ibis/backends/tests/test_io.py
@@ -48,314 +48,114 @@ def gzip_csv(data_dir, tmp_path):
     return str(f.absolute())
 
 
-# TODO: rewrite or delete test when register api is removed
+@pytest.fixture(scope="module")
+def num_diamonds(data_dir):
+    with open(data_dir / "csv" / "diamonds.csv") as f:
+        # subtract 1 for the header
+        return sum(1 for _ in f) - 1
+
+
+@pytest.fixture(scope="module")
+def ft_data(data_dir):
+    pq = pytest.importorskip("pyarrow.parquet")
+    nrows = 5
+    table = pq.read_table(data_dir.joinpath("parquet", "functional_alltypes.parquet"))
+    return table.slice(0, nrows)
+
+
+DIAMONDS_COLUMN_TYPES = {
+    # snowflake's `INFER_SCHEMA` returns this for the diamonds CSV `price`
+    # column type
+    "snowflake": {
+        "carat": "decimal(3, 2)",
+        "depth": "decimal(3, 1)",
+        "table": "decimal(3, 1)",
+        "x": "decimal(4, 2)",
+        "y": "decimal(4, 2)",
+        "z": "decimal(4, 2)",
+    },
+    "pyspark": {"price": "int32"},
+}
+
+
 @pytest.mark.parametrize(
-    ("fname", "in_table_name", "out_table_name"),
-    [
-        param("diamonds.csv", None, "ibis_read_csv_", id="default"),
-        param(
-            "csv://diamonds.csv",
-            "Diamonds2",
-            "Diamonds2",
-            id="csv_name",
-            marks=pytest.mark.notyet(
-                ["pyspark"], reason="pyspark lowercases view names"
-            ),
-        ),
-        param(
-            "file://diamonds.csv",
-            "fancy_stones",
-            "fancy_stones",
-            id="file_name",
-        ),
-        param(
-            "file://diamonds.csv",
-            "fancy stones",
-            "fancy stones",
-            id="file_atypical_name",
-            marks=pytest.mark.notyet(
-                ["pyspark"], reason="no spaces allowed in view names"
-            ),
-        ),
-        param(
-            ["file://diamonds.csv", "diamonds.csv"],
-            "fancy_stones2",
-            "fancy_stones2",
-            id="multi_csv",
-            marks=pytest.mark.notyet(
-                ["datafusion"],
-                reason="doesn't accept multiple files to scan or read",
-            ),
-        ),
-    ],
+    "in_table_name",
+    [param(None, id="default"), param("fancy_stones", id="file_name")],
 )
 @pytest.mark.notyet(
-    [
-        "bigquery",
-        "clickhouse",
-        "flink",
-        "impala",
-        "mssql",
-        "mysql",
-        "postgres",
-        "risingwave",
-        "snowflake",
-        "sqlite",
-        "trino",
-        "databricks",
-    ]
+    ["flink", "impala", "mssql", "mysql", "postgres", "risingwave", "sqlite", "trino"]
 )
-def test_register_csv(con, data_dir, fname, in_table_name, out_table_name):
+def test_read_csv(con, data_dir, in_table_name, num_diamonds):
+    fname = "diamonds.csv"
     with pushd(data_dir / "csv"):
-        with pytest.warns(FutureWarning, match="v9.1"):
-            table = con.register(fname, table_name=in_table_name)
+        if con.name == "pyspark":
+            # pyspark doesn't respect CWD
+            fname = str(Path(fname).absolute())
+        table = con.read_csv(fname, table_name=in_table_name)
 
-    assert any(out_table_name in t for t in con.list_tables())
-    if con.name != "datafusion":
-        table.count().execute()
+    if in_table_name is not None:
+        assert table.op().name == in_table_name
+
+    special_types = DIAMONDS_COLUMN_TYPES.get(con.name, {})
+
+    assert table.schema() == ibis.schema(
+        {
+            "carat": "float64",
+            "cut": "string",
+            "color": "string",
+            "clarity": "string",
+            "depth": "float64",
+            "table": "float64",
+            "price": "int64",
+            "x": "float64",
+            "y": "float64",
+            "z": "float64",
+            **special_types,
+        }
+    )
+    assert table.count().execute() == num_diamonds
 
 
-# TODO: rewrite or delete test when register api is removed
 @pytest.mark.notimpl(["datafusion"])
 @pytest.mark.notyet(
     [
-        "bigquery",
-        "clickhouse",
         "flink",
         "impala",
         "mssql",
         "mysql",
         "postgres",
         "risingwave",
-        "snowflake",
         "sqlite",
         "trino",
         "databricks",
     ]
 )
-def test_register_csv_gz(con, data_dir, gzip_csv):
+def test_read_csv_gz(con, data_dir, gzip_csv):
     with pushd(data_dir):
-        with pytest.warns(FutureWarning, match="v9.1"):
-            table = con.register(gzip_csv)
+        table = con.read_csv(gzip_csv)
 
     assert table.count().execute()
 
 
-# TODO: rewrite or delete test when register api is removed
 @pytest.mark.notyet(
-    [
-        "bigquery",
-        "clickhouse",
-        "flink",
-        "impala",
-        "mssql",
-        "mysql",
-        "postgres",
-        "risingwave",
-        "snowflake",
-        "sqlite",
-        "trino",
-    ]
+    ["flink", "impala", "mssql", "mysql", "postgres", "risingwave", "sqlite", "trino"]
 )
-def test_register_with_dotted_name(con, data_dir, tmp_path):
+def test_read_csv_with_dotted_name(con, data_dir, tmp_path):
     basename = "foo.bar.baz/diamonds.csv"
     f = tmp_path.joinpath(basename)
     f.parent.mkdir()
     data = data_dir.joinpath("csv", "diamonds.csv").read_bytes()
     f.write_bytes(data)
-    with pytest.warns(FutureWarning, match="v9.1"):
-        table = con.register(str(f.absolute()))
-
-    if con.name != "datafusion":
-        table.count().execute()
-
-
-def read_table(path: Path) -> Iterator[tuple[str, pa.Table]]:
-    """For each csv `names` in `data_dir` return a `pyarrow.Table`."""
-    pac = pytest.importorskip("pyarrow.csv")
-
-    table_name = path.stem
-    schema = TEST_TABLES[table_name]
-    convert_options = pac.ConvertOptions(
-        column_types={name: typ.to_pyarrow() for name, typ in schema.items()}
-    )
-    data_dir = path.parent
-    return pac.read_csv(data_dir / f"{table_name}.csv", convert_options=convert_options)
-
-
-# TODO: rewrite or delete test when register api is removed
-@pytest.mark.parametrize(
-    ("fname", "in_table_name", "out_table_name"),
-    [
-        param(
-            "parquet://functional_alltypes.parquet", None, "ibis_read_parquet", id="url"
-        ),
-        param("functional_alltypes.parquet", "funk_all", "funk_all", id="basename"),
-        param(
-            "parquet://functional_alltypes.parq", "funk_all", "funk_all", id="url_parq"
-        ),
-        param(
-            "parquet://functional_alltypes", None, "ibis_read_parquet", id="url_no_ext"
-        ),
-    ],
-)
-@pytest.mark.notyet(
-    [
-        "bigquery",
-        "clickhouse",
-        "flink",
-        "impala",
-        "mssql",
-        "mysql",
-        "postgres",
-        "risingwave",
-        "snowflake",
-        "sqlite",
-        "trino",
-    ]
-)
-def test_register_parquet(
-    con, tmp_path, data_dir, fname, in_table_name, out_table_name
-):
-    pq = pytest.importorskip("pyarrow.parquet")
-
-    fname = Path(fname)
-    table = read_table(data_dir / "csv" / fname.name)
-
-    pq.write_table(table, tmp_path / fname.name)
-
-    with pushd(tmp_path):
-        with pytest.warns(FutureWarning, match="v9.1"):
-            table = con.register(f"parquet://{fname.name}", table_name=in_table_name)
-
-        assert any(out_table_name in t for t in con.list_tables())
+    table = con.read_csv(str(f.absolute()))
 
     if con.name != "datafusion":
         table.count().execute()
 
 
-# TODO: rewrite or delete test when register api is removed
-@pytest.mark.notyet(
-    [
-        "bigquery",
-        "clickhouse",
-        "datafusion",
-        "flink",
-        "impala",
-        "mssql",
-        "mysql",
-        "postgres",
-        "risingwave",
-        "pyspark",
-        "snowflake",
-        "sqlite",
-        "trino",
-    ]
-)
-def test_register_iterator_parquet(
-    con,
-    tmp_path,
-    data_dir,
-):
-    pq = pytest.importorskip("pyarrow.parquet")
-
-    table = read_table(data_dir / "csv" / "functional_alltypes.csv")
-
-    pq.write_table(table, tmp_path / "functional_alltypes.parquet")
-
-    with pushd(tmp_path):
-        with pytest.warns(FutureWarning, match="v9.1"):
-            table = con.register(
-                [
-                    "parquet://functional_alltypes.parquet",
-                    "functional_alltypes.parquet",
-                ],
-                table_name=None,
-            )
-
-    assert any("ibis_read_parquet" in t for t in con.list_tables())
-    assert table.count().execute()
-
-
-# TODO: remove entirely when `register` is removed
-# This same functionality is implemented across all backends
-# via `create_table` and tested in `test_client.py`
-@pytest.mark.notimpl(["datafusion"])
-@pytest.mark.notyet(
-    [
-        "bigquery",
-        "clickhouse",
-        "flink",
-        "impala",
-        "mssql",
-        "mysql",
-        "postgres",
-        "risingwave",
-        "pyspark",
-        "snowflake",
-        "sqlite",
-        "trino",
-    ]
-)
-def test_register_pandas(con):
-    pd = pytest.importorskip("pandas")
-    df = pd.DataFrame({"x": [1, 2, 3], "y": ["a", "b", "c"]})
-
-    with pytest.warns(FutureWarning, match="v9.1"):
-        t = con.register(df)
-    assert t.x.sum().execute() == 6
-
-    with pytest.warns(FutureWarning, match="v9.1"):
-        t = con.register(df, "my_table")
-    assert t.op().name == "my_table"
-    assert t.x.sum().execute() == 6
-
-
-# TODO: remove entirely when `register` is removed
-# This same functionality is implemented across all backends
-# via `create_table` and tested in `test_client.py`
-@pytest.mark.notimpl(["datafusion", "polars"])
-@pytest.mark.notyet(
-    [
-        "bigquery",
-        "clickhouse",
-        "flink",
-        "impala",
-        "mssql",
-        "mysql",
-        "postgres",
-        "risingwave",
-        "pyspark",
-        "snowflake",
-        "sqlite",
-        "trino",
-    ]
-)
-def test_register_pyarrow_tables(con):
-    pa = pytest.importorskip("pyarrow")
-    pa_t = pa.Table.from_pydict({"x": [1, 2, 3], "y": ["a", "b", "c"]})
-
-    with pytest.warns(FutureWarning, match="v9.1"):
-        t = con.register(pa_t)
-    assert t.x.sum().execute() == 6
-
-
 @pytest.mark.notyet(
-    [
-        "bigquery",
-        "clickhouse",
-        "flink",
-        "impala",
-        "mssql",
-        "mysql",
-        "postgres",
-        "risingwave",
-        "snowflake",
-        "sqlite",
-        "trino",
-    ]
+    ["flink", "impala", "mssql", "mysql", "postgres", "risingwave", "sqlite", "trino"]
 )
-def test_csv_reregister_schema(con, tmp_path):
+def test_read_csv_schema(con, tmp_path):
     foo = tmp_path.joinpath("foo.csv")
     with foo.open("w", newline="") as csvfile:
         csv.writer(csvfile, delimiter=",").writerows(
@@ -367,47 +167,33 @@ def test_csv_reregister_schema(con, tmp_path):
             ]
         )
 
-    with pytest.warns(FutureWarning, match="v9.1"):
-        # For a full file scan, expect correct schema based on final row
-        foo_table = con.register(foo, table_name="same")
+    # For a full file scan, expect correct schema based on final row
+    foo_table = con.read_csv(foo, table_name="same")
     result_schema = foo_table.schema()
 
     assert result_schema.names == ("cola", "colb", "colc")
     assert result_schema["cola"].is_integer()
-    assert result_schema["colb"].is_float64()
+    assert result_schema["colb"].is_numeric()
     assert result_schema["colc"].is_string()
 
 
-@pytest.mark.notimpl(
-    [
-        "bigquery",
-        "clickhouse",
-        "datafusion",
-        "flink",
-        "impala",
-        "mysql",
-        "mssql",
-        "polars",
-        "postgres",
-        "risingwave",
-        "pyspark",
-        "snowflake",
-        "sqlite",
-        "trino",
-    ]
+@pytest.mark.notyet(
+    ["flink", "impala", "mssql", "mysql", "postgres", "risingwave", "sqlite", "trino"]
 )
-def test_register_garbage(con, monkeypatch):
-    # monkeypatch to avoid downloading extensions in tests
-    monkeypatch.setattr(con, "_load_extensions", lambda x: True)
+def test_read_csv_glob(con, tmp_path, ft_data):
+    pc = pytest.importorskip("pyarrow.csv")
 
-    duckdb = pytest.importorskip("duckdb")
-    with pytest.raises(
-        duckdb.IOException, match="No files found that match the pattern"
-    ):
-        con.read_csv("garbage_notafile")
+    nrows = len(ft_data)
+    ntables = 2
+    ext = "csv"
 
-    with pytest.raises((FileNotFoundError, duckdb.IOException)):
-        con.read_parquet("garbage_notafile")
+    fnames = [f"data{i}.{ext}" for i in range(ntables)]
+    for fname in fnames:
+        pc.write_csv(ft_data, tmp_path / fname)
+
+    table = con.read_csv(tmp_path / f"*.{ext}")
+
+    assert table.count().execute() == nrows * ntables
 
 
 @pytest.mark.parametrize(
@@ -440,66 +226,75 @@ def test_read_parquet(con, tmp_path, data_dir, fname, in_table_name):
     assert table.count().execute()
 
 
-@pytest.fixture(scope="module")
-def ft_data(data_dir):
-    pq = pytest.importorskip("pyarrow.parquet")
-    nrows = 5
-    table = pq.read_table(data_dir.joinpath("parquet", "functional_alltypes.parquet"))
-    return table.slice(0, nrows)
+def read_table(path: Path) -> Iterator[tuple[str, pa.Table]]:
+    """For each csv `names` in `data_dir` return a `pyarrow.Table`."""
+    pac = pytest.importorskip("pyarrow.csv")
+
+    table_name = path.stem
+    schema = TEST_TABLES[table_name]
+    convert_options = pac.ConvertOptions(
+        column_types={name: typ.to_pyarrow() for name, typ in schema.items()}
+    )
+    data_dir = path.parent
+    return pac.read_csv(data_dir / f"{table_name}.csv", convert_options=convert_options)
 
 
 @pytest.mark.notyet(
     [
+        "bigquery",
+        "clickhouse",
+        "datafusion",
         "flink",
         "impala",
         "mssql",
         "mysql",
         "postgres",
         "risingwave",
+        "pyspark",
+        "snowflake",
         "sqlite",
         "trino",
     ]
 )
-def test_read_parquet_glob(con, tmp_path, ft_data):
+def test_read_parquet_iterator(
+    con,
+    tmp_path,
+    data_dir,
+):
     pq = pytest.importorskip("pyarrow.parquet")
 
-    nrows = len(ft_data)
-    ntables = 2
-    ext = "parquet"
+    table = read_table(data_dir / "csv" / "functional_alltypes.csv")
 
-    fnames = [f"data{i}.{ext}" for i in range(ntables)]
-    for fname in fnames:
-        pq.write_table(ft_data, tmp_path / fname)
+    pq.write_table(table, tmp_path / "functional_alltypes.parquet")
 
-    table = con.read_parquet(tmp_path / f"*.{ext}")
+    with pushd(tmp_path):
+        table = con.read_parquet(
+            [
+                "parquet://functional_alltypes.parquet",
+                "functional_alltypes.parquet",
+            ],
+            table_name=None,
+        )
 
-    assert table.count().execute() == nrows * ntables
+    assert any("ibis_read_parquet" in t for t in con.list_tables())
+    assert table.count().execute()
 
 
 @pytest.mark.notyet(
-    [
-        "flink",
-        "impala",
-        "mssql",
-        "mysql",
-        "postgres",
-        "risingwave",
-        "sqlite",
-        "trino",
-    ]
+    ["flink", "impala", "mssql", "mysql", "postgres", "risingwave", "sqlite", "trino"]
 )
-def test_read_csv_glob(con, tmp_path, ft_data):
-    pc = pytest.importorskip("pyarrow.csv")
+def test_read_parquet_glob(con, tmp_path, ft_data):
+    pq = pytest.importorskip("pyarrow.parquet")
 
     nrows = len(ft_data)
     ntables = 2
-    ext = "csv"
+    ext = "parquet"
 
     fnames = [f"data{i}.{ext}" for i in range(ntables)]
     for fname in fnames:
-        pc.write_csv(ft_data, tmp_path / fname)
+        pq.write_table(ft_data, tmp_path / fname)
 
-    table = con.read_csv(tmp_path / f"*.{ext}")
+    table = con.read_parquet(tmp_path / f"*.{ext}")
 
     assert table.count().execute() == nrows * ntables
 
@@ -539,61 +334,33 @@ def test_read_json_glob(con, tmp_path, ft_data):
     assert table.count().execute() == nrows * ntables
 
 
-@pytest.fixture(scope="module")
-def num_diamonds(data_dir):
-    with open(data_dir / "csv" / "diamonds.csv") as f:
-        # subtract 1 for the header
-        return sum(1 for _ in f) - 1
-
-
-DIAMONDS_COLUMN_TYPES = {
-    # snowflake's `INFER_SCHEMA` returns this for the diamonds CSV `price`
-    # column type
-    "snowflake": {
-        "carat": "decimal(3, 2)",
-        "depth": "decimal(3, 1)",
-        "table": "decimal(3, 1)",
-        "x": "decimal(4, 2)",
-        "y": "decimal(4, 2)",
-        "z": "decimal(4, 2)",
-    },
-    "pyspark": {"price": "int32"},
-}
-
-
-@pytest.mark.parametrize(
-    "in_table_name",
-    [param(None, id="default"), param("fancy_stones", id="file_name")],
-)
-@pytest.mark.notyet(
-    ["flink", "impala", "mssql", "mysql", "postgres", "risingwave", "sqlite", "trino"]
+@pytest.mark.notimpl(
+    [
+        "bigquery",
+        "clickhouse",
+        "datafusion",
+        "flink",
+        "impala",
+        "mysql",
+        "mssql",
+        "polars",
+        "postgres",
+        "risingwave",
+        "pyspark",
+        "snowflake",
+        "sqlite",
+        "trino",
+    ]
 )
-def test_read_csv(con, data_dir, in_table_name, num_diamonds):
-    fname = "diamonds.csv"
-    with pushd(data_dir / "csv"):
-        if con.name == "pyspark":
-            # pyspark doesn't respect CWD
-            fname = str(Path(fname).absolute())
-        table = con.read_csv(fname, table_name=in_table_name)
-
-    if in_table_name is not None:
-        assert table.op().name == in_table_name
+def test_read_garbage(con, monkeypatch):
+    # monkeypatch to avoid downloading extensions in tests
+    monkeypatch.setattr(con, "_load_extensions", lambda x: True)
 
-    special_types = DIAMONDS_COLUMN_TYPES.get(con.name, {})
+    duckdb = pytest.importorskip("duckdb")
+    with pytest.raises(
+        duckdb.IOException, match="No files found that match the pattern"
+    ):
+        con.read_csv("garbage_notafile")
 
-    assert table.schema() == ibis.schema(
-        {
-            "carat": "float64",
-            "cut": "string",
-            "color": "string",
-            "clarity": "string",
-            "depth": "float64",
-            "table": "float64",
-            "price": "int64",
-            "x": "float64",
-            "y": "float64",
-            "z": "float64",
-            **special_types,
-        }
-    )
-    assert table.count().execute() == num_diamonds
+    with pytest.raises((FileNotFoundError, duckdb.IOException)):
+        con.read_parquet("garbage_notafile")
diff --git a/ibis/backends/tests/test_numeric.py b/ibis/backends/tests/test_numeric.py
index 6b6e608935100..fc09c9481eb9c 100644
--- a/ibis/backends/tests/test_numeric.py
+++ b/ibis/backends/tests/test_numeric.py
@@ -4,6 +4,7 @@
 import decimal
 import math
 import operator
+import sqlite3
 from operator import and_, lshift, or_, rshift, xor
 
 import pytest
@@ -30,6 +31,7 @@
     PyODBCProgrammingError,
     PySparkArithmeticException,
     PySparkParseException,
+    PySparkValueError,
     SnowflakeProgrammingError,
     TrinoUserError,
 )
@@ -37,6 +39,7 @@
 
 np = pytest.importorskip("numpy")
 pd = pytest.importorskip("pandas")
+pa = pytest.importorskip("pyarrow")
 
 
 @pytest.mark.parametrize(
@@ -1539,3 +1542,55 @@ def test_scalar_round_is_integer(con):
 
     assert result == 1
     assert isinstance(result, int)
+
+
+@pytest.mark.parametrize(
+    "numbers",
+    [
+        param(
+            [1, 2, 3],
+            marks=[
+                pytest.mark.notyet(
+                    [
+                        "duckdb",
+                        "clickhouse",
+                        "datafusion",
+                        "snowflake",
+                        "databricks",
+                        "bigquery",
+                    ],
+                    raises=pa.ArrowInvalid,
+                ),
+                pytest.mark.notyet(
+                    ["pyspark"],
+                    raises=(
+                        # PySparkValueError is raised when using Spark connect
+                        PySparkValueError,
+                        TypeError,
+                    ),
+                ),
+            ],
+            id="ints",
+        ),
+        param(
+            [decimal.Decimal("1.1"), decimal.Decimal("2.2"), decimal.Decimal("3.3")],
+            marks=[
+                pytest.mark.notimpl(
+                    ["sqlite"],
+                    raises=(
+                        sqlite3.ProgrammingError,
+                        # With Python 3.10, the same code raises a different exception type :(
+                        sqlite3.InterfaceError,
+                    ),
+                )
+            ],
+            id="decimals",
+        ),
+    ],
+)
+@pytest.mark.notyet(["exasol"], raises=ExaQueryError)
+def test_memtable_decimal(con, numbers):
+    schema = ibis.schema(dict(numbers=dt.Decimal(38, 9)))
+    t = ibis.memtable({"numbers": numbers}, schema=schema)
+    assert t.schema() == schema
+    assert len(con.to_pyarrow(t)) == len(numbers)
diff --git a/ibis/backends/tests/test_signatures.py b/ibis/backends/tests/test_signatures.py
index 887c400d69b00..aa5f05f2817fc 100644
--- a/ibis/backends/tests/test_signatures.py
+++ b/ibis/backends/tests/test_signatures.py
@@ -126,15 +126,6 @@ def _scrape_methods(modules, params):
         "read_parquet",
         marks=pytest.mark.notyet(["duckdb", "flink"]),
     ),
-    "table": pytest.param(
-        BaseBackend,
-        "table",
-        marks=pytest.mark.notyet(
-            [
-                "polars",
-            ]
-        ),
-    ),
     "to_parquet_dir": pytest.param(
         BaseBackend,
         "to_parquet_dir",
diff --git a/ibis/backends/tests/test_sql.py b/ibis/backends/tests/test_sql.py
index 748addce30149..bcb09dd110124 100644
--- a/ibis/backends/tests/test_sql.py
+++ b/ibis/backends/tests/test_sql.py
@@ -259,3 +259,13 @@ def test_sample(backend_name, snapshot, subquery):
     row = ibis.to_sql(t.sample(0.5, method="row"), dialect=backend_name)
     snapshot.assert_match(block, "block.sql")
     snapshot.assert_match(row, "row.sql")
+
+
+@pytest.mark.parametrize("backend_name", _get_backends_to_test())
+@pytest.mark.notimpl(["polars"], raises=ValueError, reason="not a SQL backend")
+def test_order_by_no_deference_literals(backend_name, snapshot):
+    t = ibis.table({"a": "int"}, name="test")
+    s = t.select("a", i=ibis.literal(9), s=ibis.literal("foo"))
+    o = s.order_by("a", "i", "s")
+    sql = ibis.to_sql(o, dialect=backend_name)
+    snapshot.assert_match(sql, "out.sql")
diff --git a/ibis/backends/tests/test_string.py b/ibis/backends/tests/test_string.py
index ff1a41ae2aff7..b849e365f82a9 100644
--- a/ibis/backends/tests/test_string.py
+++ b/ibis/backends/tests/test_string.py
@@ -827,8 +827,13 @@ def test_capitalize(con, inp, expected):
         assert pd.isnull(result)
 
 
+@pytest.mark.notyet(
+    ["exasol", "impala", "mssql", "mysql", "sqlite"],
+    reason="Backend doesn't support arrays",
+    raises=(com.OperationNotDefinedError, com.UnsupportedBackendType),
+)
 @pytest.mark.notimpl(
-    ["polars", "oracle", "flink", "sqlite", "mssql", "mysql", "exasol", "impala"],
+    ["polars", "oracle", "flink"],
     raises=com.OperationNotDefinedError,
 )
 def test_array_string_join(con):
@@ -1092,7 +1097,7 @@ def string_temp_table(backend, con):
                     reason="Treats len(🐍) == 2",
                 ),
                 pytest.mark.notyet(
-                    ["impala", "mysql"],
+                    ["impala"],
                     raises=AssertionError,
                     reason="Treats len(🐍) == 4 and accented characters as len 2",
                 ),
@@ -1109,7 +1114,7 @@ def string_temp_table(backend, con):
                     reason="Treats len(🐍) == 2",
                 ),
                 pytest.mark.notyet(
-                    ["impala", "mysql"],
+                    ["impala"],
                     raises=AssertionError,
                     reason="Treats len(🐍) == 4 and accented characters as len 2",
                 ),
@@ -1126,7 +1131,7 @@ def string_temp_table(backend, con):
                     reason="Treats len(🐍) == 2",
                 ),
                 pytest.mark.notyet(
-                    ["impala", "mysql"],
+                    ["impala"],
                     raises=AssertionError,
                     reason="Treats len(🐍) == 4 and accented characters as len 2",
                 ),
@@ -1143,7 +1148,7 @@ def string_temp_table(backend, con):
                     reason="Treats len(🐍) == 2",
                 ),
                 pytest.mark.notyet(
-                    ["impala", "mysql"],
+                    ["impala"],
                     raises=AssertionError,
                     reason="Treats len(🐍) == 4 and accented characters as len 2",
                 ),
@@ -1154,11 +1159,6 @@ def string_temp_table(backend, con):
             lambda t: t.str.len().astype("int32"),
             id="len",
             marks=[
-                pytest.mark.notyet(
-                    ["mysql"],
-                    raises=AssertionError,
-                    reason="thinks emoji are 4 characters long",
-                ),
                 pytest.mark.notyet(
                     ["impala", "polars"],
                     raises=AssertionError,
diff --git a/ibis/backends/tests/test_temporal.py b/ibis/backends/tests/test_temporal.py
index df8010404c046..c8f49f17cb315 100644
--- a/ibis/backends/tests/test_temporal.py
+++ b/ibis/backends/tests/test_temporal.py
@@ -781,11 +781,6 @@ def convert_to_offset(x):
                     raises=AssertionError,
                     reason="duckdb returns dateoffsets",
                 ),
-                pytest.mark.notimpl(
-                    ["trino"],
-                    raises=AssertionError,
-                    reason="doesn't match pandas results, unclear what the issue is, perhaps timezones",
-                ),
                 pytest.mark.notimpl(
                     ["flink"],
                     raises=Py4JJavaError,
diff --git a/ibis/backends/tests/tpc/ds/test_queries.py b/ibis/backends/tests/tpc/ds/test_queries.py
index 40b23e4ade0b6..11f5a108ef279 100644
--- a/ibis/backends/tests/tpc/ds/test_queries.py
+++ b/ibis/backends/tests/tpc/ds/test_queries.py
@@ -111,6 +111,7 @@ def test_03(date_dim, store_sales, item):
 @pytest.mark.notimpl(
     ["datafusion"], reason="Optimizer rule 'common_sub_expression_eliminate' failed"
 )
+@pytest.mark.notyet(["clickhouse"], reason="Broken")
 def test_04(customer, store_sales, catalog_sales, web_sales, date_dim):
     def profile(sales, *, name):
         char = name[0]
@@ -1144,6 +1145,7 @@ def test_18(
 
 
 @tpc_test("ds")
+@pytest.mark.notyet(["clickhouse"], reason="Broken")
 def test_19(date_dim, store_sales, item, customer, customer_address, store):
     return (
         date_dim.join(store_sales, [("d_date_sk", "ss_sold_date_sk")])
@@ -1301,6 +1303,7 @@ def total_sales(
 
 
 @tpc_test("ds", result_is_empty=True)
+@pytest.mark.notyet(["clickhouse"], reason="Broken")
 def test_24(store_sales, store_returns, store, item, customer, customer_address):
     ssales = (
         store_sales.join(
@@ -2072,11 +2075,6 @@ def test_40(catalog_sales, catalog_returns, warehouse, item, date_dim):
 
 
 @tpc_test("ds")
-@pytest.mark.notyet(
-    ["datafusion"],
-    raises=Exception,
-    reason="Error during planning: Correlated column is not allowed in predicate",
-)
 @pytest.mark.notyet(
     ["clickhouse"],
     raises=ClickHouseDatabaseError,
@@ -2230,9 +2228,6 @@ def test_44(store_sales, item):
 
 
 @tpc_test("ds")
-@pytest.mark.notyet(
-    ["datafusion"], raises=Exception, reason="Unsupported feature in DataFusion SQL"
-)
 def test_45(web_sales, customer, customer_address, date_dim, item):
     return (
         web_sales.join(customer, [("ws_bill_customer_sk", "c_customer_sk")])
@@ -3267,6 +3262,7 @@ def test_63(item, store_sales, date_dim, store):
 
 
 @tpc_test("ds", result_is_empty=True)
+@pytest.mark.notyet(["clickhouse"], reason="Broken")
 def test_64(
     catalog_sales,
     catalog_returns,
@@ -3430,6 +3426,7 @@ def test_64(
 
 
 @tpc_test("ds", result_is_empty=True)
+@pytest.mark.notyet(["clickhouse"], reason="Broken")
 def test_65(store, item, store_sales, date_dim):
     sa = (
         store_sales.join(
@@ -3759,12 +3756,13 @@ def test_71(item, web_sales, date_dim, catalog_sales, store_sales, time_dim):
     )
 
 
+@tpc_test("ds")
 @pytest.mark.notyet(
     ["datafusion"],
     raises=OperationNotDefinedError,
     reason="No DateDelta op defined",
 )
-@tpc_test("ds")
+@pytest.mark.notyet(["clickhouse"], reason="Broken")
 def test_72(
     catalog_sales,
     inventory,
@@ -3897,6 +3895,7 @@ def test_73(store_sales, date_dim, store, household_demographics, customer):
 
 
 @tpc_test("ds")
+@pytest.mark.notyet(["clickhouse"], reason="Broken")
 def test_74(customer, store_sales, date_dim, web_sales):
     renames = {
         "customer_id": "c_customer_id",
@@ -4647,6 +4646,7 @@ def items(returns, *, prefix):
 
 
 @tpc_test("ds")
+@pytest.mark.notyet(["datafusion"], reason="coercion failure", raises=Exception)
 def test_84(
     customer,
     customer_address,
@@ -5065,6 +5065,7 @@ def test_94(web_sales, date_dim, customer_address, web_site, web_returns):
 
 
 @tpc_test("ds")
+@pytest.mark.notyet(["clickhouse"], reason="Broken")
 def test_95(web_sales, date_dim, customer_address, web_site, web_returns):
     ws1 = web_sales.view()
     ws2 = web_sales.view()
diff --git a/ibis/backends/trino/converter.py b/ibis/backends/trino/converter.py
index 5488b60832196..0e8bc544168bc 100644
--- a/ibis/backends/trino/converter.py
+++ b/ibis/backends/trino/converter.py
@@ -9,16 +9,18 @@ class TrinoPandasData(PandasData):
     @classmethod
     def convert_Interval(cls, s, dtype, pandas_dtype):
         def parse_trino_timedelta(value):
-            # format is 'days hour:minute:second.millisecond'
-            days, rest = value.split(" ", 1)
-            hms, millis = rest.split(".", 1)
-            hours, minutes, seconds = hms.split(":")
-            return datetime.timedelta(
-                days=int(days),
-                hours=int(hours),
-                minutes=int(minutes),
-                seconds=int(seconds),
-                milliseconds=int(millis),
-            )
+            if isinstance(value, str):
+                # format is 'days hour:minute:second.millisecond'
+                days, rest = value.split(" ", 1)
+                hms, millis = rest.split(".", 1)
+                hours, minutes, seconds = hms.split(":")
+                return datetime.timedelta(
+                    days=int(days),
+                    hours=int(hours),
+                    minutes=int(minutes),
+                    seconds=int(seconds),
+                    milliseconds=int(millis),
+                )
+            return value
 
         return s.map(parse_trino_timedelta, na_action="ignore")
diff --git a/ibis/common/annotations.py b/ibis/common/annotations.py
index fb63baf6de8d2..9c6ecf8e16bd4 100644
--- a/ibis/common/annotations.py
+++ b/ibis/common/annotations.py
@@ -39,7 +39,7 @@ class ValidationError(Exception):
 
 
 class AttributeValidationError(ValidationError):
-    __slots__ = ("name", "value", "pattern")
+    __slots__ = ("name", "pattern", "value")
 
     def __init__(self, name: str, value: AnyType, pattern: Pattern):
         self.name = name
@@ -51,7 +51,7 @@ def __str__(self):
 
 
 class ReturnValidationError(ValidationError):
-    __slots__ = ("func", "value", "pattern")
+    __slots__ = ("func", "pattern", "value")
 
     def __init__(self, func: Callable, value: AnyType, pattern: Pattern):
         self.func = func
@@ -63,7 +63,7 @@ def __str__(self):
 
 
 class SignatureValidationError(ValidationError):
-    __slots__ = ("msg", "sig", "func", "args", "kwargs", "errors")
+    __slots__ = ("args", "errors", "func", "kwargs", "msg", "sig")
 
     def __init__(
         self,
@@ -102,7 +102,7 @@ class Annotation(Slotted, Immutable):
     Annotations are used to mark fields in a class and to validate them.
     """
 
-    __slots__ = ("pattern", "default")
+    __slots__ = ("default", "pattern")
     pattern: Pattern
     default: AnyType
 
@@ -204,7 +204,7 @@ class Argument(Annotation):
 
     """
 
-    __slots__ = ("typehint", "kind")
+    __slots__ = ("kind", "typehint")
     typehint: AnyType
     kind: int
 
diff --git a/ibis/common/collections.py b/ibis/common/collections.py
index 31de94dac3720..612a06129ad5c 100644
--- a/ibis/common/collections.py
+++ b/ibis/common/collections.py
@@ -345,7 +345,7 @@ class RewindableIterator(Iterator[V]):
 
     """
 
-    __slots__ = ("_iterator", "_checkpoint")
+    __slots__ = ("_checkpoint", "_iterator")
 
     def __init__(self, iterable):
         self._iterator = iter(iterable)
diff --git a/ibis/common/deferred.py b/ibis/common/deferred.py
index 81030ec88b6ba..f3963ddcb8050 100644
--- a/ibis/common/deferred.py
+++ b/ibis/common/deferred.py
@@ -80,7 +80,7 @@ class Deferred(Slotted, Immutable, Final):
 
     """
 
-    __slots__ = ("_resolver", "_repr")
+    __slots__ = ("_repr", "_resolver")
 
     def __init__(self, obj, repr=None):
         super().__init__(_resolver=resolver(obj), _repr=repr)
@@ -327,7 +327,7 @@ def resolve(self, context):
 
 
 class Attr(FrozenSlotted, Resolver):
-    __slots__ = ("obj", "name")
+    __slots__ = ("name", "obj")
     obj: Resolver
     name: str
 
@@ -347,7 +347,7 @@ def resolve(self, context):
 
 
 class Item(FrozenSlotted, Resolver):
-    __slots__ = ("obj", "name")
+    __slots__ = ("name", "obj")
     obj: Resolver
     name: str
 
@@ -382,7 +382,7 @@ class Call(FrozenSlotted, Resolver):
 
     """
 
-    __slots__ = ("func", "args", "kwargs")
+    __slots__ = ("args", "func", "kwargs")
     func: Resolver
     args: tuple[Resolver, ...]
     kwargs: dict[str, Resolver]
@@ -446,7 +446,7 @@ def __repr__(self):
 
 
 class UnaryOperator(FrozenSlotted, Resolver):
-    __slots__ = ("func", "arg")
+    __slots__ = ("arg", "func")
     func: Callable
     arg: Resolver
 
diff --git a/ibis/common/egraph.py b/ibis/common/egraph.py
index 5457549bff7d2..8b205f58a56b0 100644
--- a/ibis/common/egraph.py
+++ b/ibis/common/egraph.py
@@ -50,7 +50,7 @@ class DisjointSet(Mapping[K, set[K]]):
 
     """
 
-    __slots__ = ("_parents", "_classes")
+    __slots__ = ("_classes", "_parents")
     _parents: dict
     _classes: dict
 
@@ -320,7 +320,7 @@ class Pattern(Slotted):
 
     """
 
-    __slots__ = ("head", "args", "name")
+    __slots__ = ("args", "head", "name")
     head: type
     args: tuple
     name: str | None
@@ -455,7 +455,7 @@ def substitute(self, egraph, enode, subst):
 class Rewrite(Slotted):
     """A rewrite rule which matches a pattern and applies a pattern or a function."""
 
-    __slots__ = ("matcher", "applier")
+    __slots__ = ("applier", "matcher")
     matcher: Pattern
     applier: Callable | Pattern | Variable
 
@@ -484,7 +484,7 @@ class ENode(Slotted, Node):
 
     """
 
-    __slots__ = ("head", "args")
+    __slots__ = ("args", "head")
     head: type
     args: tuple
 
@@ -534,7 +534,7 @@ def mapper(node, _, **kwargs):
 
 
 class EGraph:
-    __slots__ = ("_nodes", "_etables", "_eclasses")
+    __slots__ = ("_eclasses", "_etables", "_nodes")
     _nodes: dict
     _etables: collections.defaultdict
     _eclasses: DisjointSet
diff --git a/ibis/common/grounds.py b/ibis/common/grounds.py
index 46f3309a3c2ff..9f87ebf2ba7c5 100644
--- a/ibis/common/grounds.py
+++ b/ibis/common/grounds.py
@@ -26,7 +26,7 @@
     Immutable,
     Singleton,
 )
-from ibis.common.collections import FrozenDict  # noqa: TCH001
+from ibis.common.collections import FrozenDict  # noqa: TC001
 from ibis.common.patterns import Pattern
 from ibis.common.typing import evaluate_annotations
 
diff --git a/ibis/common/patterns.py b/ibis/common/patterns.py
index 4c54abc2ec4b9..c819b09344b48 100644
--- a/ibis/common/patterns.py
+++ b/ibis/common/patterns.py
@@ -549,7 +549,7 @@ class Option(Slotted, Pattern):
 
     """
 
-    __slots__ = ("pattern", "default")
+    __slots__ = ("default", "pattern")
     pattern: Pattern
     default: AnyType
 
@@ -692,7 +692,7 @@ class GenericInstanceOf(Slotted, Pattern):
 
     """
 
-    __slots__ = ("type", "origin", "fields")
+    __slots__ = ("fields", "origin", "type")
     origin: type
     fields: FrozenDict[str, Pattern]
 
@@ -738,7 +738,7 @@ class LazyInstanceOf(Slotted, Pattern):
     """
 
     __fields__ = ("qualname", "package")
-    __slots__ = ("qualname", "package", "loaded")
+    __slots__ = ("loaded", "package", "qualname")
     qualname: str
     package: str
     loaded: type
@@ -775,7 +775,7 @@ class CoercedTo(Slotted, Pattern, Generic[T_co]):
 
     """
 
-    __slots__ = ("type", "func")
+    __slots__ = ("func", "type")
     type: T_co
 
     def __init__(self, type):
@@ -845,7 +845,7 @@ class GenericCoercedTo(Slotted, Pattern):
 
     """
 
-    __slots__ = ("origin", "params", "checker")
+    __slots__ = ("checker", "origin", "params")
     origin: type
     params: FrozenDict[str, type]
     checker: GenericInstanceOf
@@ -1164,7 +1164,7 @@ class GenericSequenceOf(Slotted, Pattern):
 
     """
 
-    __slots__ = ("item", "type", "length")
+    __slots__ = ("item", "length", "type")
     item: Pattern
     type: Pattern
     length: Length
@@ -1218,7 +1218,7 @@ class GenericMappingOf(Slotted, Pattern):
 
     """
 
-    __slots__ = ("key", "value", "type")
+    __slots__ = ("key", "type", "value")
     key: Pattern
     value: Pattern
     type: Pattern
@@ -1285,7 +1285,7 @@ class Object(Slotted, Pattern):
 
     """
 
-    __slots__ = ("type", "args", "kwargs")
+    __slots__ = ("args", "kwargs", "type")
     type: Pattern
     args: tuple[Pattern, ...]
     kwargs: FrozenDict[str, Pattern]
@@ -1341,7 +1341,7 @@ def match(self, value, context):
 
 
 class Node(Slotted, Pattern):
-    __slots__ = ("type", "each_arg")
+    __slots__ = ("each_arg", "type")
     type: Pattern
 
     def __init__(self, type, each_arg):
@@ -1408,7 +1408,7 @@ def match(self, value, context):
 
 
 class SomeOf(Slotted, Pattern):
-    __slots__ = ("pattern", "delimiter")
+    __slots__ = ("delimiter", "pattern")
 
     @classmethod
     def __create__(cls, *args, **kwargs):
@@ -1432,7 +1432,7 @@ class SomeChunksOf(Slotted, Pattern):
     Designed to be used inside a `PatternList` pattern with the `*` syntax.
     """
 
-    __slots__ = ("pattern", "delimiter")
+    __slots__ = ("delimiter", "pattern")
 
     def __init__(self, *args, **kwargs):
         pattern = GenericSequenceOf(PatternList(args), **kwargs)
diff --git a/ibis/common/selectors.py b/ibis/common/selectors.py
index f7558fb0a92c0..5144faf18fda4 100644
--- a/ibis/common/selectors.py
+++ b/ibis/common/selectors.py
@@ -5,7 +5,7 @@
 
 from ibis.common.bases import Abstract
 from ibis.common.grounds import Concrete
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 
 if TYPE_CHECKING:
     from collections.abc import Sequence
diff --git a/ibis/common/tests/test_annotations.py b/ibis/common/tests/test_annotations.py
index 6e4a22f3d24d1..ab214bc351704 100644
--- a/ibis/common/tests/test_annotations.py
+++ b/ibis/common/tests/test_annotations.py
@@ -80,14 +80,6 @@ def test_annotations_are_not_hashable():
         hash(a)
 
 
-def test_argument_repr():
-    argument = Argument(is_int, typehint=int, default=None)
-    assert repr(argument) == (
-        "Argument(pattern=InstanceOf(type=<class 'int'>), default=None, "
-        "typehint=<class 'int'>, kind=<_ParameterKind.POSITIONAL_OR_KEYWORD: 1>)"
-    )
-
-
 def test_default_argument():
     annotation = Argument(pattern=lambda x, context: int(x), default=3)
     assert annotation.pattern.match(1, {}) == 1
diff --git a/ibis/common/tests/test_collections.py b/ibis/common/tests/test_collections.py
index 7a2187deab0a7..ea590ad3ec91c 100644
--- a/ibis/common/tests/test_collections.py
+++ b/ibis/common/tests/test_collections.py
@@ -61,7 +61,7 @@ def __reversed__(self):
 
 def test_iterator():
     class MyIterator(Iterator):
-        __slots__ = ("n", "i")
+        __slots__ = ("i", "n")
 
         def __init__(self, n):
             self.n = n
diff --git a/ibis/common/tests/test_deferred.py b/ibis/common/tests/test_deferred.py
index 56bc1efb4a45b..e3600face7eb3 100644
--- a/ibis/common/tests/test_deferred.py
+++ b/ibis/common/tests/test_deferred.py
@@ -290,7 +290,7 @@ def __invert__(self):
 
 
 class ColumnMock(ValueMock):
-    __slots__ = ("name", "dtype")
+    __slots__ = ("dtype", "name")
 
     def __init__(self, name, dtype):
         super().__init__(name=name, dtype=dtype)
@@ -303,14 +303,14 @@ def type(self):
 
 
 class UnaryMock(ValueMock):
-    __slots__ = ("name", "arg")
+    __slots__ = ("arg", "name")
 
     def __init__(self, name, arg):
         super().__init__(name=name, arg=arg)
 
 
 class BinaryMock(ValueMock):
-    __slots__ = ("name", "left", "right")
+    __slots__ = ("left", "name", "right")
 
     def __init__(self, name, left, right):
         super().__init__(name=name, left=left, right=right)
diff --git a/ibis/common/tests/test_graph.py b/ibis/common/tests/test_graph.py
index db4f466fdfd2c..1408b5cdfebae 100644
--- a/ibis/common/tests/test_graph.py
+++ b/ibis/common/tests/test_graph.py
@@ -24,7 +24,7 @@
 
 class MyNode(Node):
     __match_args__ = ("name", "children")
-    __slots__ = ("name", "children")
+    __slots__ = ("children", "name")
 
     def __init__(self, name, children):
         self.name = name
diff --git a/ibis/common/tests/test_patterns.py b/ibis/common/tests/test_patterns.py
index a0bd329f05970..848837822a3dc 100644
--- a/ibis/common/tests/test_patterns.py
+++ b/ibis/common/tests/test_patterns.py
@@ -263,10 +263,10 @@ def test_generic_instance_of_with_covariant_typevar():
     assert p.match(My(1, 2, "3"), context={}) == My(1, 2, "3")
     assert p.describe() == "a My[int, Any]"
 
-    assert match(My[int, AnyType], v := My(1, 2, "3")) == v  # noqa: RUF018
-    assert match(My[int, int], v := My(1, 2, "3")) == v  # noqa: RUF018
+    assert match(My[int, AnyType], v := My(1, 2, "3")) == v
+    assert match(My[int, int], v := My(1, 2, "3")) == v
     assert match(My[int, float], My(1, 2, "3")) is NoMatch
-    assert match(My[int, float], v := My(1, 2.0, "3")) == v  # noqa: RUF018
+    assert match(My[int, float], v := My(1, 2.0, "3")) == v
 
 
 def test_generic_instance_of_disallow_nested_coercion():
@@ -334,7 +334,7 @@ def dtype(self) -> T: ...
         def shape(self) -> S: ...
 
     class Literal(Value[T, Scalar]):
-        __slots__ = ("_value", "_dtype")
+        __slots__ = ("_dtype", "_value")
 
         def __init__(self, value, dtype):
             self._value = value
@@ -798,12 +798,12 @@ def test_matching():
     assert Capture("pi", InstanceOf(float)) == "pi" @ InstanceOf(float)
     assert Capture("pi", InstanceOf(float)) == "pi" @ InstanceOf(float)
 
-    assert match(Capture("pi", InstanceOf(float)), 3.14, ctx := {}) == 3.14  # noqa: RUF018
+    assert match(Capture("pi", InstanceOf(float)), 3.14, ctx := {}) == 3.14
     assert ctx == {"pi": 3.14}
-    assert match("pi" @ InstanceOf(float), 3.14, ctx := {}) == 3.14  # noqa: RUF018
+    assert match("pi" @ InstanceOf(float), 3.14, ctx := {}) == 3.14
     assert ctx == {"pi": 3.14}
 
-    assert match("pi" @ InstanceOf(float), 3.14, ctx := {}) == 3.14  # noqa: RUF018
+    assert match("pi" @ InstanceOf(float), 3.14, ctx := {}) == 3.14
     assert ctx == {"pi": 3.14}
 
     assert match(InstanceOf(int) | InstanceOf(float), 3) == 3
@@ -915,13 +915,13 @@ def test_matching_sequence_pattern_keeps_original_type():
 def test_matching_sequence_with_captures():
     v = list(range(1, 9))
     assert match([1, 2, 3, 4, Some(...)], v) == v
-    assert match([1, 2, 3, 4, "rest" @ Some(...)], v, ctx := {}) == v  # noqa: RUF018
+    assert match([1, 2, 3, 4, "rest" @ Some(...)], v, ctx := {}) == v
     assert ctx == {"rest": [5, 6, 7, 8]}
 
     v = list(range(5))
-    assert match([0, 1, x @ Some(...), 4], v, ctx := {}) == v  # noqa: RUF018
+    assert match([0, 1, x @ Some(...), 4], v, ctx := {}) == v
     assert ctx == {"x": [2, 3]}
-    assert match([0, 1, "var" @ Some(...), 4], v, ctx := {}) == v  # noqa: RUF018
+    assert match([0, 1, "var" @ Some(...), 4], v, ctx := {}) == v
     assert ctx == {"var": [2, 3]}
 
     p = [
@@ -932,7 +932,7 @@ def test_matching_sequence_with_captures():
         6,
     ]
     v = [0, 1, 2, 3, 4.0, 5.0, 6]
-    assert match(p, v, ctx := {}) == v  # noqa: RUF018
+    assert match(p, v, ctx := {}) == v
     assert ctx == {"ints": [2, 3], "last_float": 5.0}
 
 
@@ -948,7 +948,7 @@ def test_matching_sequence_remaining():
     assert match([1, 2, 3, Some(InstanceOf(int) & Between(0, 10))], five) == five
     assert match([1, 2, 3, Some(InstanceOf(int) & Between(0, 4))], five) is NoMatch
     assert match([1, 2, 3, Some(int, at_least=2)], four) is NoMatch
-    assert match([1, 2, 3, "res" @ Some(int, at_least=2)], five, ctx := {}) == five  # noqa: RUF018
+    assert match([1, 2, 3, "res" @ Some(int, at_least=2)], five, ctx := {}) == five
     assert ctx == {"res": [4, 5]}
 
 
@@ -965,12 +965,12 @@ def test_matching_sequence_complicated():
         "a": [2, 3],
         "b": [5, 6, 7],
     }
-    assert match(pat, range(1, 10), ctx := {}) == list(range(1, 10))  # noqa: RUF018
+    assert match(pat, range(1, 10), ctx := {}) == list(range(1, 10))
     assert ctx == expected
 
     pat = [1, 2, Capture("remaining", Some(...))]
     expected = {"remaining": [3, 4, 5, 6, 7, 8, 9]}
-    assert match(pat, range(1, 10), ctx := {}) == list(range(1, 10))  # noqa: RUF018
+    assert match(pat, range(1, 10), ctx := {}) == list(range(1, 10))
     assert ctx == expected
 
     v = [0, [1, 2, "3"], [1, 2, "4"], 3]
diff --git a/ibis/config.py b/ibis/config.py
index 151cabbb2d853..5a7ea8ed2dad1 100644
--- a/ibis/config.py
+++ b/ibis/config.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from collections.abc import Callable  # noqa: TCH003
+from collections.abc import Callable  # noqa: TC003
 from typing import Annotated, Any, Optional
 
 from public import public
diff --git a/ibis/expr/api.py b/ibis/expr/api.py
index 63148d7fb1cbb..2cb3126bdb2f8 100644
--- a/ibis/expr/api.py
+++ b/ibis/expr/api.py
@@ -47,6 +47,7 @@
     from collections.abc import Iterable, Sequence
     from pathlib import Path
 
+    import geopandas as gpd
     import pandas as pd
     import polars as pl
     import pyarrow as pa
@@ -412,42 +413,55 @@ def memtable(
 
 @lazy_singledispatch
 def _memtable(
-    data: pd.DataFrame | Any,
+    data: Any,
     *,
     columns: Iterable[str] | None = None,
     schema: SchemaLike | None = None,
     name: str | None = None,
 ) -> Table:
-    import pandas as pd
-
-    from ibis.formats.pandas import PandasDataFrameProxy
+    if hasattr(data, "__arrow_c_stream__"):
+        # Support objects exposing arrow's PyCapsule interface
+        import pyarrow as pa
 
-    if not isinstance(data, pd.DataFrame):
-        df = pd.DataFrame(data, columns=columns)
+        data = pa.table(data)
     else:
-        df = data
+        import pandas as pd
+
+        data = pd.DataFrame(data, columns=columns)
+    return _memtable(data, columns=columns, schema=schema, name=name)
+
 
-    if df.columns.inferred_type != "string":
-        cols = df.columns
+@_memtable.register("pandas.DataFrame")
+def _memtable_from_pandas_dataframe(
+    data: pd.DataFrame,
+    *,
+    columns: Iterable[str] | None = None,
+    schema: SchemaLike | None = None,
+    name: str | None = None,
+) -> Table:
+    from ibis.formats.pandas import PandasDataFrameProxy
+
+    if data.columns.inferred_type != "string":
+        cols = data.columns
         newcols = getattr(
             schema,
             "names",
             (f"col{i:d}" for i in builtins.range(len(cols))),
         )
-        df = df.rename(columns=dict(zip(cols, newcols)))
+        data = data.rename(columns=dict(zip(cols, newcols)))
 
     if columns is not None:
-        if (provided_col := len(columns)) != (exist_col := len(df.columns)):
+        if (provided_col := len(columns)) != (exist_col := len(data.columns)):
             raise ValueError(
                 "Provided `columns` must have an entry for each column in `data`.\n"
                 f"`columns` has {provided_col} elements but `data` has {exist_col} columns."
             )
 
-        df = df.rename(columns=dict(zip(df.columns, columns)))
+        data = data.rename(columns=dict(zip(data.columns, columns)))
 
     # verify that the DataFrame has no duplicate column names because ibis
     # doesn't allow that
-    cols = df.columns
+    cols = data.columns
     dupes = [name for name, count in Counter(cols).items() if count > 1]
     if dupes:
         raise IbisInputError(
@@ -456,8 +470,8 @@ def _memtable(
 
     op = ops.InMemoryTable(
         name=name if name is not None else util.gen_name("pandas_memtable"),
-        schema=sch.infer(df) if schema is None else schema,
-        data=PandasDataFrameProxy(df),
+        schema=sch.infer(data) if schema is None else schema,
+        data=PandasDataFrameProxy(data),
     )
     return op.to_expr()
 
@@ -499,6 +513,21 @@ def _memtable_from_pyarrow_dataset(
     ).to_expr()
 
 
+@_memtable.register("pyarrow.RecordBatchReader")
+def _memtable_from_pyarrow_RecordBatchReader(
+    data: pa.Table,
+    *,
+    name: str | None = None,
+    schema: SchemaLike | None = None,
+    columns: Iterable[str] | None = None,
+):
+    raise TypeError(
+        "Creating an `ibis.memtable` from a `pyarrow.RecordBatchReader` would "
+        "load _all_ data into memory. If you want to do this, please do so "
+        "explicitly like `ibis.memtable(reader.read_all())`"
+    )
+
+
 @_memtable.register("polars.LazyFrame")
 def _memtable_from_polars_lazyframe(data: pl.LazyFrame, **kwargs):
     return _memtable_from_polars_dataframe(data.collect(), **kwargs)
@@ -524,6 +553,23 @@ def _memtable_from_polars_dataframe(
     ).to_expr()
 
 
+@_memtable.register("geopandas.geodataframe.GeoDataFrame")
+def _memtable_from_geopandas_geodataframe(
+    data: gpd.GeoDataFrame,
+    *,
+    name: str | None = None,
+    schema: SchemaLike | None = None,
+    columns: Iterable[str] | None = None,
+):
+    # The Pandas data proxy and the `to_arrow` method on it can't handle
+    # geopandas geometry columns. But if we first make the geometry columns WKB,
+    # then the geo column gets treated (correctly) as just a binary blob, and
+    # DuckDB can cast it to a proper geometry column after import.
+    wkb_df = data.to_wkb()
+
+    return _memtable(wkb_df, name=name, schema=schema, columns=columns)
+
+
 def _deferred_method_call(expr, method_name, **kwargs):
     method = operator.methodcaller(method_name, **kwargs)
     if isinstance(expr, str):
@@ -545,7 +591,7 @@ def desc(expr: ir.Column | str, nulls_first: bool = False) -> ir.Value:
     expr
         The expression or column name to use for sorting
     nulls_first
-        Bool to indicate weather to put NULL values first or not.
+        Bool to indicate whether to put NULL values first or not.
 
     See Also
     --------
@@ -586,7 +632,7 @@ def asc(expr: ir.Column | str, nulls_first: bool = False) -> ir.Value:
     expr
         The expression or column name to use for sorting
     nulls_first
-        Bool to indicate weather to put NULL values first or not.
+        Bool to indicate whether to put NULL values first or not.
 
     See Also
     --------
@@ -1138,6 +1184,9 @@ def cases(
 
     Equivalent to a SQL `CASE` statement.
 
+    ::: {.callout-note title="Added in version 10.0.0"}
+    :::
+
     Parameters
     ----------
     branch
@@ -1688,6 +1737,8 @@ def set_backend(backend: str | BaseBackend) -> None:
 def get_backend(expr: Expr | None = None) -> BaseBackend:
     """Get the current Ibis backend to use for a given expression.
 
+    Parameters
+    ----------
     expr
         An expression to get the backend from. If not passed, the default
         backend is returned.
@@ -1697,6 +1748,25 @@ def get_backend(expr: Expr | None = None) -> BaseBackend:
     BaseBackend
         The Ibis backend.
 
+    Examples
+    --------
+    >>> import ibis
+
+    Get the default backend.
+
+    >>> ibis.get_backend()  # doctest: +ELLIPSIS
+    <ibis.backends.duckdb.Backend object at 0x...>
+
+    Get the backend for a specific expression.
+
+    >>> polars_con = ibis.polars.connect()
+    >>> t = polars_con.create_table("t", ibis.memtable({"a": [1, 2, 3]}))
+    >>> ibis.get_backend(t)  # doctest: +ELLIPSIS
+    <ibis.backends.polars.Backend object at 0x...>
+
+    See Also
+    --------
+    [`get_backend()`](./expression-tables.qmd#ibis.expr.types.relations.Table.get_backend)
     """
     if expr is None:
         from ibis.config import _default_backend
@@ -2012,11 +2082,15 @@ def intersect(table: ir.Table, *rest: ir.Table, distinct: bool = True) -> ir.Tab
     Table
         A new table containing the intersection of all input tables.
 
+    See Also
+    --------
+    [`Table.intersect`](./expression-tables.qmd#ibis.expr.types.relations.Table.intersect)
+
     Examples
     --------
     >>> import ibis
     >>> ibis.options.interactive = True
-    >>> t1 = ibis.memtable({"a": [1, 2]})
+    >>> t1 = ibis.memtable({"a": [1, 2, 2]})
     >>> t1
     ┏━━━━━━━┓
     ┃ a     ┃
@@ -2025,8 +2099,9 @@ def intersect(table: ir.Table, *rest: ir.Table, distinct: bool = True) -> ir.Tab
     ├───────┤
     │     1 │
     │     2 │
+    │     2 │
     └───────┘
-    >>> t2 = ibis.memtable({"a": [2, 3]})
+    >>> t2 = ibis.memtable({"a": [2, 2, 3]})
     >>> t2
     ┏━━━━━━━┓
     ┃ a     ┃
@@ -2034,6 +2109,7 @@ def intersect(table: ir.Table, *rest: ir.Table, distinct: bool = True) -> ir.Tab
     │ int64 │
     ├───────┤
     │     2 │
+    │     2 │
     │     3 │
     └───────┘
     >>> ibis.intersect(t1, t2)
@@ -2044,7 +2120,26 @@ def intersect(table: ir.Table, *rest: ir.Table, distinct: bool = True) -> ir.Tab
     ├───────┤
     │     2 │
     └───────┘
+    >>> ibis.intersect(t1, t2, distinct=False)
+    ┏━━━━━━━┓
+    ┃ a     ┃
+    ┡━━━━━━━┩
+    │ int64 │
+    ├───────┤
+    │     2 │
+    │     2 │
+    └───────┘
 
+    More than two table expressions can be intersected at once.
+    >>> t3 = ibis.memtable({"a": [2, 3, 3]})
+    >>> ibis.intersect(t1, t2, t3)
+    ┏━━━━━━━┓
+    ┃ a     ┃
+    ┡━━━━━━━┩
+    │ int64 │
+    ├───────┤
+    │     2 │
+    └───────┘
     """
     return table.intersect(*rest, distinct=distinct) if rest else table
 
diff --git a/ibis/expr/builders.py b/ibis/expr/builders.py
index b409d0ba35bdf..0c2f57642c2a6 100644
--- a/ibis/expr/builders.py
+++ b/ibis/expr/builders.py
@@ -13,8 +13,8 @@
 from ibis.common.deferred import Deferred, Resolver, deferrable
 from ibis.common.exceptions import IbisInputError
 from ibis.common.grounds import Concrete
-from ibis.common.selectors import Selector  # noqa: TCH001
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.selectors import Selector  # noqa: TC001
+from ibis.common.typing import VarTuple  # noqa: TC001
 
 if TYPE_CHECKING:
     from typing_extensions import Self
diff --git a/ibis/expr/datatypes/tests/test_core.py b/ibis/expr/datatypes/tests/test_core.py
index 5caa7b2946b10..fa5276f24636e 100644
--- a/ibis/expr/datatypes/tests/test_core.py
+++ b/ibis/expr/datatypes/tests/test_core.py
@@ -1,8 +1,8 @@
 from __future__ import annotations
 
-import datetime  # noqa: TCH003
-import decimal  # noqa: TCH003
-import uuid  # noqa: TCH003
+import datetime  # noqa: TC003
+import decimal  # noqa: TC003
+import uuid  # noqa: TC003
 from dataclasses import dataclass
 from typing import Annotated, NamedTuple
 
diff --git a/ibis/expr/operations/arrays.py b/ibis/expr/operations/arrays.py
index 03f368d1b3194..11687c752030e 100644
--- a/ibis/expr/operations/arrays.py
+++ b/ibis/expr/operations/arrays.py
@@ -10,7 +10,7 @@
 import ibis.expr.datatypes as dt
 import ibis.expr.rules as rlz
 from ibis.common.annotations import attribute
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.operations.core import Argument, Unary, Value
 
 
diff --git a/ibis/expr/operations/generic.py b/ibis/expr/operations/generic.py
index 0efabf0473079..8f75538f40a79 100644
--- a/ibis/expr/operations/generic.py
+++ b/ibis/expr/operations/generic.py
@@ -13,12 +13,12 @@
 import ibis.expr.datatypes as dt
 import ibis.expr.rules as rlz
 from ibis.common.annotations import attribute
-from ibis.common.deferred import Deferred  # noqa: TCH001
+from ibis.common.deferred import Deferred
 from ibis.common.grounds import Singleton
-from ibis.common.patterns import InstanceOf, Length  # noqa: TCH001
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.patterns import InstanceOf, Length
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.operations.core import Scalar, Unary, Value
-from ibis.expr.operations.relations import Relation  # noqa: TCH001
+from ibis.expr.operations.relations import Relation  # noqa: TC001
 
 
 @public
diff --git a/ibis/expr/operations/histograms.py b/ibis/expr/operations/histograms.py
index 0f2ae705a9ced..9fdb7ba0a1165 100644
--- a/ibis/expr/operations/histograms.py
+++ b/ibis/expr/operations/histograms.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-import numbers  # noqa: TCH003
+import numbers  # noqa: TC003
 from typing import Literal
 
 from public import public
@@ -10,7 +10,7 @@
 import ibis.expr.datashape as ds
 import ibis.expr.datatypes as dt
 from ibis.common.annotations import ValidationError, attribute
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.operations.core import Column, Value
 
 
diff --git a/ibis/expr/operations/logical.py b/ibis/expr/operations/logical.py
index 7ea03f4d70e85..6dead3ecf4995 100644
--- a/ibis/expr/operations/logical.py
+++ b/ibis/expr/operations/logical.py
@@ -8,7 +8,7 @@
 import ibis.expr.rules as rlz
 from ibis.common.annotations import ValidationError, attribute
 from ibis.common.exceptions import IbisTypeError
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.operations.core import Binary, Unary, Value
 
 
diff --git a/ibis/expr/operations/reductions.py b/ibis/expr/operations/reductions.py
index a01413ac546fe..925fab51f9bec 100644
--- a/ibis/expr/operations/reductions.py
+++ b/ibis/expr/operations/reductions.py
@@ -10,10 +10,10 @@
 import ibis.expr.datatypes as dt
 import ibis.expr.rules as rlz
 from ibis.common.annotations import ValidationError, attribute
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.operations.core import Column, Value
-from ibis.expr.operations.relations import Relation  # noqa: TCH001
-from ibis.expr.operations.sortkeys import SortKey  # noqa: TCH001
+from ibis.expr.operations.relations import Relation  # noqa: TC001
+from ibis.expr.operations.sortkeys import SortKey  # noqa: TC001
 
 
 @public
diff --git a/ibis/expr/operations/relations.py b/ibis/expr/operations/relations.py
index 8bd06eac215cc..90dc400a8dedc 100644
--- a/ibis/expr/operations/relations.py
+++ b/ibis/expr/operations/relations.py
@@ -24,7 +24,7 @@
 from ibis.expr.operations.core import Alias, Column, Node, Scalar, Value
 from ibis.expr.operations.sortkeys import SortKey
 from ibis.expr.schema import Schema
-from ibis.formats import TableProxy  # noqa: TCH001
+from ibis.formats import TableProxy  # noqa: TC001
 
 T = TypeVar("T")
 
diff --git a/ibis/expr/operations/strings.py b/ibis/expr/operations/strings.py
index 05056889e7c81..a4e435d5122bc 100644
--- a/ibis/expr/operations/strings.py
+++ b/ibis/expr/operations/strings.py
@@ -9,7 +9,7 @@
 import ibis.expr.datatypes as dt
 import ibis.expr.rules as rlz
 from ibis.common.annotations import attribute
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.operations.core import Unary, Value
 
 
diff --git a/ibis/expr/operations/structs.py b/ibis/expr/operations/structs.py
index 5b24f2aeb9110..2451f82e6e1d7 100644
--- a/ibis/expr/operations/structs.py
+++ b/ibis/expr/operations/structs.py
@@ -7,7 +7,7 @@
 import ibis.expr.datatypes as dt
 import ibis.expr.rules as rlz
 from ibis.common.annotations import ValidationError, attribute
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.operations.core import Value
 
 
diff --git a/ibis/expr/operations/subqueries.py b/ibis/expr/operations/subqueries.py
index 40d5f47ce66ee..ca60cbf028256 100644
--- a/ibis/expr/operations/subqueries.py
+++ b/ibis/expr/operations/subqueries.py
@@ -10,7 +10,7 @@
 from ibis.common.annotations import attribute
 from ibis.common.exceptions import IntegrityError
 from ibis.expr.operations.core import Value
-from ibis.expr.operations.relations import Relation  # noqa: TCH001
+from ibis.expr.operations.relations import Relation  # noqa: TC001
 
 
 @public
diff --git a/ibis/expr/operations/temporal_windows.py b/ibis/expr/operations/temporal_windows.py
index ab7b8632f176d..4d9823e9beec0 100644
--- a/ibis/expr/operations/temporal_windows.py
+++ b/ibis/expr/operations/temporal_windows.py
@@ -9,7 +9,7 @@
 import ibis.expr.datatypes as dt
 from ibis.common.annotations import attribute
 from ibis.common.collections import FrozenOrderedDict
-from ibis.expr.operations.core import Column, Scalar  # noqa: TCH001
+from ibis.expr.operations.core import Column, Scalar  # noqa: TC001
 from ibis.expr.operations.relations import Relation, Unaliased
 from ibis.expr.schema import Schema
 
diff --git a/ibis/expr/operations/vectorized.py b/ibis/expr/operations/vectorized.py
index f286c327063cd..4e16488f30592 100644
--- a/ibis/expr/operations/vectorized.py
+++ b/ibis/expr/operations/vectorized.py
@@ -1,13 +1,13 @@
 from __future__ import annotations
 
-from types import FunctionType, LambdaType  # noqa: TCH003
+from types import FunctionType, LambdaType  # noqa: TC003
 from typing import Union
 
 from public import public
 
 import ibis.expr.datashape as ds
 import ibis.expr.datatypes as dt
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.operations.analytic import Analytic
 from ibis.expr.operations.core import Column, Value
 from ibis.expr.operations.reductions import Reduction
diff --git a/ibis/expr/operations/window.py b/ibis/expr/operations/window.py
index 6433f2405a560..317bd4516125b 100644
--- a/ibis/expr/operations/window.py
+++ b/ibis/expr/operations/window.py
@@ -13,13 +13,13 @@
 import ibis.expr.datatypes as dt
 import ibis.expr.rules as rlz
 from ibis.common.patterns import CoercionError
-from ibis.common.typing import VarTuple  # noqa: TCH001
-from ibis.expr.operations.analytic import Analytic  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
+from ibis.expr.operations.analytic import Analytic  # noqa: TC001
 from ibis.expr.operations.core import Column, Value
 from ibis.expr.operations.generic import Literal
 from ibis.expr.operations.numeric import Negate
-from ibis.expr.operations.reductions import Reduction  # noqa: TCH001
-from ibis.expr.operations.sortkeys import SortKey  # noqa: TCH001
+from ibis.expr.operations.reductions import Reduction  # noqa: TC001
+from ibis.expr.operations.sortkeys import SortKey  # noqa: TC001
 
 T = TypeVar("T", bound=dt.Numeric | dt.Interval, covariant=True)
 S = TypeVar("S", bound=ds.DataShape, default=ds.Any, covariant=True)
diff --git a/ibis/expr/rewrites.py b/ibis/expr/rewrites.py
index 3b9d6760ce41b..18fa45a72f0da 100644
--- a/ibis/expr/rewrites.py
+++ b/ibis/expr/rewrites.py
@@ -7,14 +7,14 @@
 import toolz
 
 import ibis.expr.operations as ops
-from ibis.common.collections import FrozenDict  # noqa: TCH001
+from ibis.common.collections import FrozenDict  # noqa: TC001
 from ibis.common.deferred import Item, _, deferred, var
 from ibis.common.exceptions import ExpressionError, IbisInputError
 from ibis.common.graph import Node as Traversable
 from ibis.common.graph import traverse
 from ibis.common.grounds import Concrete
 from ibis.common.patterns import Check, pattern, replace
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.util import Namespace, promote_list
 
 p = Namespace(pattern, module=ops)
diff --git a/ibis/expr/sql.py b/ibis/expr/sql.py
index c6fe415e9458c..6afc81ed228a9 100644
--- a/ibis/expr/sql.py
+++ b/ibis/expr/sql.py
@@ -465,6 +465,30 @@ def to_sql(
     str
         Formatted SQL string
 
+    Examples
+    --------
+    >>> import ibis
+    >>> t = ibis.table({"a": "int", "b": "int"}, name="t")
+    >>> expr = t.mutate(c=t.a + t.b)
+    >>> ibis.to_sql(expr)  # doctest: +SKIP
+    SELECT
+      "t0"."a",
+      "t0"."b",
+      "t0"."a" + "t0"."b" AS "c"
+    FROM "t" AS "t0"
+
+    You can also specify the SQL dialect to use for compilation:
+    >>> ibis.to_sql(expr, dialect="mysql")  # doctest: +SKIP
+    SELECT
+      `t0`.`a`,
+      `t0`.`b`,
+      `t0`.`a` + `t0`.`b` AS `c`
+    FROM `t` AS `t0`
+
+    See Also
+    --------
+    [`Table.compile()`](./expression-tables.qmd#ibis.expr.types.relations.Table.compile)
+
     """
     import ibis.backends.sql.compilers as sc
 
diff --git a/ibis/expr/tests/test_format.py b/ibis/expr/tests/test_format.py
index 6fe8b3cddf94f..2ecb831c4d25c 100644
--- a/ibis/expr/tests/test_format.py
+++ b/ibis/expr/tests/test_format.py
@@ -472,7 +472,7 @@ class ValueList(ops.Node):
 
 def test_arbitrary_traversables_are_supported(snapshot):
     class MyNode(Traversable):
-        __slots__ = ("obj", "children")
+        __slots__ = ("children", "obj")
         __argnames__ = ("obj", "children")
 
         def __init__(self, obj, children):
diff --git a/ibis/expr/types/core.py b/ibis/expr/types/core.py
index d2d73028f833c..195f4f45dfab8 100644
--- a/ibis/expr/types/core.py
+++ b/ibis/expr/types/core.py
@@ -388,11 +388,12 @@ def get_backend(self) -> BaseBackend:
         >>> import ibis
         >>> con = ibis.duckdb.connect()
         >>> t = con.create_table("t", {"id": [1, 2, 3]})
-        >>> backend = t.get_backend()
-        >>> backend.name
-        'duckdb'
-        >>> type(backend)
-        <class 'ibis.backends.duckdb.Backend'>
+        >>> t.get_backend()  # doctest: +ELLIPSIS
+        <ibis.backends.duckdb.Backend object at 0x...>
+
+        See Also
+        --------
+        [`ibis.get_backend()`](./connection.qmd#ibis.get_backend)
         """
         return self._find_backend(use_default=True)
 
@@ -413,6 +414,41 @@ def execute(
             Mapping of scalar parameter expressions to value
         kwargs
             Keyword arguments
+
+        Examples
+        --------
+        >>> import ibis
+        >>> t = ibis.examples.penguins.fetch()
+        >>> t.execute()
+               species     island  bill_length_mm  ...  body_mass_g     sex  year
+        0       Adelie  Torgersen            39.1  ...       3750.0    male  2007
+        1       Adelie  Torgersen            39.5  ...       3800.0  female  2007
+        2       Adelie  Torgersen            40.3  ...       3250.0  female  2007
+        3       Adelie  Torgersen             NaN  ...          NaN    None  2007
+        4       Adelie  Torgersen            36.7  ...       3450.0  female  2007
+        ..         ...        ...             ...  ...          ...     ...   ...
+        339  Chinstrap      Dream            55.8  ...       4000.0    male  2009
+        340  Chinstrap      Dream            43.5  ...       3400.0  female  2009
+        341  Chinstrap      Dream            49.6  ...       3775.0    male  2009
+        342  Chinstrap      Dream            50.8  ...       4100.0    male  2009
+        343  Chinstrap      Dream            50.2  ...       3775.0  female  2009
+        [344 rows x 8 columns]
+
+        Scalar parameters can be supplied dynamically during execution.
+        >>> species = ibis.param("string")
+        >>> expr = t.filter(t.species == species).order_by(t.bill_length_mm)
+        >>> expr.execute(limit=3, params={species: "Gentoo"})
+          species  island  bill_length_mm  ...  body_mass_g     sex  year
+        0  Gentoo  Biscoe            40.9  ...         4650  female  2007
+        1  Gentoo  Biscoe            41.7  ...         4700  female  2009
+        2  Gentoo  Biscoe            42.0  ...         4150  female  2007
+        <BLANKLINE>
+        [3 rows x 8 columns]
+
+        See Also
+        --------
+        [`Table.to_pandas()`](./expression-tables.qmd#ibis.expr.types.relations.Table.to_pandas)
+        [`Value.to_pandas()`](./expression-generic.qmd#ibis.expr.types.generic.Value.to_pandas)
         """
         return self._find_backend(use_default=True).execute(
             self, limit=limit, params=params, **kwargs
@@ -423,8 +459,8 @@ def compile(
         limit: int | None = None,
         params: Mapping[ir.Value, Any] | None = None,
         pretty: bool = False,
-    ):
-        """Compile to an execution target.
+    ) -> str:
+        r"""Compile to an execution target.
 
         Parameters
         ----------
@@ -435,6 +471,37 @@ def compile(
             Mapping of scalar parameter expressions to value
         pretty
             In case of SQL backends, return a pretty formatted SQL query.
+
+        Returns
+        -------
+        str
+            SQL query representation of the expression
+
+        Examples
+        --------
+        >>> import ibis
+        >>> d = {"a": [1, 2, 3], "b": [4, 5, 6]}
+        >>> con = ibis.duckdb.connect()
+        >>> t = con.create_table("t", d)
+        >>> expr = t.mutate(c=t.a + t.b)
+        >>> expr.compile()
+        'SELECT "t0"."a", "t0"."b", "t0"."a" + "t0"."b" AS "c" FROM "memory"."main"."t" AS "t0"'
+
+        If you want to see the pretty formatted SQL query, set `pretty` to `True`.
+        >>> expr.compile(pretty=True)
+        'SELECT\n  "t0"."a",\n  "t0"."b",\n  "t0"."a" + "t0"."b" AS "c"\nFROM "memory"."main"."t" AS "t0"'
+
+        If the expression does not have a backend, an error will be raised.
+        >>> t = ibis.memtable(d)
+        >>> expr = t.mutate(c=t.a + t.b)
+        >>> expr.compile()  # quartodoc: +EXPECTED_FAILURE
+        Traceback (most recent call last):
+        ...
+        ibis.common.exceptions.IbisError: Expression depends on no backends, and ...
+
+        See Also
+        --------
+        [`ibis.to_sql()`](./expression-generic.qmd#ibis.to_sql)
         """
         return self._find_backend().compile(
             self, limit=limit, params=params, pretty=pretty
diff --git a/ibis/expr/types/generic.py b/ibis/expr/types/generic.py
index 8d256c9b06723..e741948a0b7e2 100644
--- a/ibis/expr/types/generic.py
+++ b/ibis/expr/types/generic.py
@@ -14,7 +14,7 @@
 from ibis.common.grounds import Singleton
 from ibis.expr.rewrites import rewrite_window_input
 from ibis.expr.types.core import Expr, _binop, _FixedTextJupyterMixin, _is_null_literal
-from ibis.util import deprecated, promote_list, warn_deprecated
+from ibis.util import deprecated, promote_list
 
 if TYPE_CHECKING:
     import pandas as pd
@@ -1192,15 +1192,101 @@ def __lt__(self, other: Value) -> ir.BooleanValue:
         return _binop(ops.Less, self, other)
 
     def asc(self, nulls_first: bool = False) -> ir.Value:
-        """Sort an expression ascending."""
+        """Sort an expression ascending.
+
+        Parameters
+        ----------
+        nulls_first
+            Whether to sort `NULL` values first
+
+        Returns
+        -------
+        Value
+            Sorted expression
+
+        See Also
+        --------
+        [`ibis.asc()`](./expression-generic.qmd#ibis.asc)
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.memtable({"a": [1, 2, 3, None]})
+        >>> t.order_by(t.a.asc())
+        ┏━━━━━━━━━┓
+        ┃ a       ┃
+        ┡━━━━━━━━━┩
+        │ float64 │
+        ├─────────┤
+        │     1.0 │
+        │     2.0 │
+        │     3.0 │
+        │    NULL │
+        └─────────┘
+        >>> t.order_by(t.a.asc(nulls_first=True))
+        ┏━━━━━━━━━┓
+        ┃ a       ┃
+        ┡━━━━━━━━━┩
+        │ float64 │
+        ├─────────┤
+        │    NULL │
+        │     1.0 │
+        │     2.0 │
+        │     3.0 │
+        └─────────┘
+        """
         return ops.SortKey(self, ascending=True, nulls_first=nulls_first).to_expr()
 
     def desc(self, nulls_first: bool = False) -> ir.Value:
-        """Sort an expression descending."""
+        """Sort an expression descending.
+
+        Parameters
+        ----------
+        nulls_first
+            Whether to sort `NULL` values first.
+
+        Returns
+        -------
+        Value
+            Sorted expression
+
+        See Also
+        --------
+        [`ibis.desc()`](./expression-generic.qmd#ibis.desc)
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.memtable({"a": [1, 2, 3, None]})
+        >>> t.order_by(t.a.desc())
+        ┏━━━━━━━━━┓
+        ┃ a       ┃
+        ┡━━━━━━━━━┩
+        │ float64 │
+        ├─────────┤
+        │     3.0 │
+        │     2.0 │
+        │     1.0 │
+        │    NULL │
+        └─────────┘
+        >>> t.order_by(t.a.desc(nulls_first=True))
+        ┏━━━━━━━━━┓
+        ┃ a       ┃
+        ┡━━━━━━━━━┩
+        │ float64 │
+        ├─────────┤
+        │    NULL │
+        │     3.0 │
+        │     2.0 │
+        │     1.0 │
+        └─────────┘
+        """
         return ops.SortKey(self, ascending=False, nulls_first=nulls_first).to_expr()
 
     def to_pandas(self, **kwargs) -> pd.Series:
-        """Convert a column expression to a pandas Series or scalar object.
+        """Convert an expression to a pandas or scalar object.
 
         Parameters
         ----------
@@ -1211,8 +1297,8 @@ def to_pandas(self, **kwargs) -> pd.Series:
         --------
         >>> import ibis
         >>> ibis.options.interactive = True
-        >>> t = ibis.examples.penguins.fetch().limit(5)
-        >>> t.to_pandas()
+        >>> t = ibis.examples.penguins.fetch()
+        >>> t.to_pandas(limit=5)
           species     island  bill_length_mm  ...  body_mass_g     sex  year
         0  Adelie  Torgersen            39.1  ...       3750.0    male  2007
         1  Adelie  Torgersen            39.5  ...       3800.0  female  2007
@@ -1978,6 +2064,10 @@ def topk(
         Computes a Table containing the top `k` values by a certain metric
         (defaults to count).
 
+        ::: {.callout-note title="Changed in version 9.5.0"}
+        Added `name` parameter.
+        :::
+
         Parameters
         ----------
         k
@@ -2056,9 +2146,7 @@ def topk(
 
         return table.aggregate(metric, by=[self]).order_by(metric.desc()).limit(k)
 
-    def arbitrary(
-        self, where: ir.BooleanValue | None = None, how: Any = None
-    ) -> Scalar:
+    def arbitrary(self, where: ir.BooleanValue | None = None) -> Scalar:
         """Select an arbitrary value in a column.
 
         Returns an arbitrary (nondeterministic, backend-specific) value from
@@ -2069,8 +2157,6 @@ def arbitrary(
         ----------
         where
             A filter expression
-        how
-            DEPRECATED
 
         Returns
         -------
@@ -2102,13 +2188,6 @@ def arbitrary(
         │     2 │ a      │     8.3 │
         └───────┴────────┴─────────┘
         """
-        if how is not None:
-            warn_deprecated(
-                name="how",
-                as_of="9.0",
-                removed_in="10.0",
-                instead="call `first` or `last` explicitly",
-            )
         return ops.Arbitrary(self, where=self._bind_to_parent_table(where)).to_expr()
 
     def count(self, where: ir.BooleanValue | None = None) -> ir.IntegerScalar:
@@ -2193,6 +2272,9 @@ def value_counts(self, *, name: str | None = None) -> ir.Table:
         │ c      │     3 │
         │ d      │     4 │
         └────────┴───────┘
+
+        ::: {.callout-note title="Added in version 9.5.0"}
+        :::
         """
         colname = self.get_name()
         if name is None:
@@ -2684,6 +2766,27 @@ def nth(self, n: int | ir.IntegerValue) -> Column:
         """
         return ops.NthValue(self, n).to_expr()
 
+    def to_list(self, **kwargs) -> list:
+        """Convert a column expression to a list.
+
+        Parameters
+        ----------
+        kwargs
+            Same as keyword arguments to [`to_pyarrow`](#ibis.expr.types.core.Expr.to_pyarrow)
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.examples.penguins.fetch()
+        >>> t.bill_length_mm.to_list(limit=5)
+        [39.1, 39.5, 40.3, None, 36.7]
+
+        ::: {.callout-note title="Added in version 10.0.0"}
+        :::
+        """
+        return self.to_pyarrow(**kwargs).to_pylist()
+
 
 @public
 class UnknownValue(Value):
@@ -2723,9 +2826,11 @@ def null(type: dt.DataType | str | None = None) -> Value:
     `NULL`s with an unspecified type are castable and comparable to values,
     but lack datatype-specific methods:
 
+    Examples
+    --------
     >>> import ibis
     >>> ibis.options.interactive = True
-    >>> ibis.null().upper()
+    >>> ibis.null().upper()  # quartodoc: +EXPECTED_FAILURE
     Traceback (most recent call last):
         ...
     AttributeError: 'NullScalar' object has no attribute 'upper'
diff --git a/ibis/expr/types/groupby.py b/ibis/expr/types/groupby.py
index 193e114a8c735..4fa18460029a8 100644
--- a/ibis/expr/types/groupby.py
+++ b/ibis/expr/types/groupby.py
@@ -25,8 +25,8 @@
 import ibis.expr.operations as ops
 import ibis.expr.types as ir
 from ibis.common.grounds import Concrete
-from ibis.common.patterns import Length  # noqa: TCH001
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.patterns import Length
+from ibis.common.typing import VarTuple  # noqa: TC001
 from ibis.expr.rewrites import rewrite_window_input
 
 if TYPE_CHECKING:
diff --git a/ibis/expr/types/numeric.py b/ibis/expr/types/numeric.py
index 0f3d2a78ed16d..36c7b87b001c0 100644
--- a/ibis/expr/types/numeric.py
+++ b/ibis/expr/types/numeric.py
@@ -13,8 +13,6 @@
 from ibis.util import deprecated
 
 if TYPE_CHECKING:
-    from collections.abc import Iterable
-
     import ibis.expr.types as ir
 
 
@@ -786,6 +784,33 @@ def std(
         -------
         NumericScalar
             Standard deviation of `arg`
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.memtable(
+        ...     {
+        ...         "values": [1, 3, 3, 4, 5, 7],
+        ...     }
+        ... )
+        >>> t.values.std()
+        ┌──────────┐
+        │ 2.041241 │
+        └──────────┘
+        >>> t.mutate(std_col=t.values.std())
+        ┏━━━━━━━━┳━━━━━━━━━━┓
+        ┃ values ┃ std_col  ┃
+        ┡━━━━━━━━╇━━━━━━━━━━┩
+        │ int64  │ float64  │
+        ├────────┼──────────┤
+        │      1 │ 2.041241 │
+        │      3 │ 2.041241 │
+        │      3 │ 2.041241 │
+        │      4 │ 2.041241 │
+        │      5 │ 2.041241 │
+        │      7 │ 2.041241 │
+        └────────┴──────────┘
         """
         return ops.StandardDev(
             self, how=how, where=self._bind_to_parent_table(where)
@@ -809,6 +834,33 @@ def var(
         -------
         NumericScalar
             Standard deviation of `arg`
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.memtable(
+        ...     {
+        ...         "values": [1, 3, 3, 4, 5, 7],
+        ...     }
+        ... )
+        >>> t.values.var()
+        ┌──────────┐
+        │ 4.166667 │
+        └──────────┘
+        >>> t.mutate(var_col=t.values.var())
+        ┏━━━━━━━━┳━━━━━━━━━━┓
+        ┃ values ┃ var_col  ┃
+        ┡━━━━━━━━╇━━━━━━━━━━┩
+        │ int64  │ float64  │
+        ├────────┼──────────┤
+        │      1 │ 4.166667 │
+        │      3 │ 4.166667 │
+        │      3 │ 4.166667 │
+        │      4 │ 4.166667 │
+        │      5 │ 4.166667 │
+        │      7 │ 4.166667 │
+        └────────┴──────────┘
         """
         return ops.Variance(
             self, how=how, where=self._bind_to_parent_table(where)
@@ -835,6 +887,34 @@ def corr(
         -------
         NumericScalar
             The correlation of `left` and `right`
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.memtable(
+        ...     {
+        ...         "left": [1, 3, 3, 4, 5, 7],
+        ...         "right": [7, 5, 4, 3, 3, 1],
+        ...     }
+        ... )
+        >>> t.left.corr(t.right, how="pop")
+        ┌────────┐
+        │ -0.968 │
+        └────────┘
+        >>> t.mutate(corr_col=t.left.corr(t.right, how="pop"))
+        ┏━━━━━━━┳━━━━━━━┳━━━━━━━━━━┓
+        ┃ left  ┃ right ┃ corr_col ┃
+        ┡━━━━━━━╇━━━━━━━╇━━━━━━━━━━┩
+        │ int64 │ int64 │ float64  │
+        ├───────┼───────┼──────────┤
+        │     1 │     7 │   -0.968 │
+        │     3 │     5 │   -0.968 │
+        │     3 │     4 │   -0.968 │
+        │     4 │     3 │   -0.968 │
+        │     5 │     3 │   -0.968 │
+        │     7 │     1 │   -0.968 │
+        └───────┴───────┴──────────┘
         """
         return ops.Correlation(
             self,
@@ -864,6 +944,38 @@ def cov(
         -------
         NumericScalar
             The covariance of `self` and `right`
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.memtable(
+        ...     {
+        ...         "left": [1, 3, 3, 4, 5, 7],
+        ...         "right": [7, 5, 4, 3, 3, 1],
+        ...     }
+        ... )
+        >>> t.left.cov(t.right)
+        ┌───────────┐
+        │ -4.033333 │
+        └───────────┘
+        >>> t.left.cov(t.right, how="pop")
+        ┌───────────┐
+        │ -3.361111 │
+        └───────────┘
+        >>> t.mutate(cov_col=t.left.cov(t.right, how="pop"))
+        ┏━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┓
+        ┃ left  ┃ right ┃ cov_col   ┃
+        ┡━━━━━━━╇━━━━━━━╇━━━━━━━━━━━┩
+        │ int64 │ int64 │ float64   │
+        ├───────┼───────┼───────────┤
+        │     1 │     7 │ -3.361111 │
+        │     3 │     5 │ -3.361111 │
+        │     3 │     4 │ -3.361111 │
+        │     4 │     3 │ -3.361111 │
+        │     5 │     3 │ -3.361111 │
+        │     7 │     1 │ -3.361111 │
+        └───────┴───────┴───────────┘
         """
         return ops.Covariance(
             self,
@@ -887,6 +999,45 @@ def mean(
         -------
         NumericScalar
             The mean of the input expression
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.memtable(
+        ...     {
+        ...         "id": [1, 2, 3, 4, 5, 6],
+        ...         "grouper": ["a", "a", "a", "b", "b", "c"],
+        ...         "values": [3, 2, 1, 2, 3, 2],
+        ...     }
+        ... )
+        >>> t.mutate(mean_col=t.values.mean())
+        ┏━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┓
+        ┃ id    ┃ grouper ┃ values ┃ mean_col ┃
+        ┡━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━┩
+        │ int64 │ string  │ int64  │ float64  │
+        ├───────┼─────────┼────────┼──────────┤
+        │     1 │ a       │      3 │ 2.166667 │
+        │     2 │ a       │      2 │ 2.166667 │
+        │     3 │ a       │      1 │ 2.166667 │
+        │     4 │ b       │      2 │ 2.166667 │
+        │     5 │ b       │      3 │ 2.166667 │
+        │     6 │ c       │      2 │ 2.166667 │
+        └───────┴─────────┴────────┴──────────┘
+
+        >>> t.mutate(mean_col=t.values.mean(where=t.grouper != "c"))
+        ┏━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┓
+        ┃ id    ┃ grouper ┃ values ┃ mean_col ┃
+        ┡━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━┩
+        │ int64 │ string  │ int64  │ float64  │
+        ├───────┼─────────┼────────┼──────────┤
+        │     1 │ a       │      3 │      2.2 │
+        │     2 │ a       │      2 │      2.2 │
+        │     3 │ a       │      1 │      2.2 │
+        │     4 │ b       │      2 │      2.2 │
+        │     5 │ b       │      3 │      2.2 │
+        │     6 │ c       │      2 │      2.2 │
+        └───────┴─────────┴────────┴──────────┘
         """
         # TODO(kszucs): remove the alias from the reduction method in favor
         # of default name generated by ops.Value operations
@@ -1076,6 +1227,35 @@ def bucket(
         -------
         IntegerColumn
             A categorical column expression
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.memtable(
+        ...     {
+        ...         "values": [-1, 3, 5, 6, 8, 10, 11],
+        ...     }
+        ... )
+        >>> buckets = [0, 5, 10]
+        >>> t.mutate(
+        ...     bucket_closed_left=t.values.bucket(buckets),
+        ...     bucket_closed_right=t.values.bucket(buckets, closed="right"),
+        ...     bucket_over_under=t.values.bucket(buckets, include_over=True, include_under=True),
+        ... )
+        ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓
+        ┃ values ┃ bucket_closed_left ┃ bucket_closed_right ┃ bucket_over_under ┃
+        ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩
+        │ int64  │ int8               │ int8                │ int8              │
+        ├────────┼────────────────────┼─────────────────────┼───────────────────┤
+        │     -1 │               NULL │                NULL │                 0 │
+        │      3 │                  0 │                   0 │                 1 │
+        │      5 │                  1 │                   0 │                 2 │
+        │      6 │                  1 │                   1 │                 2 │
+        │      8 │                  1 │                   1 │                 2 │
+        │     10 │                  1 │                   1 │                 2 │
+        │     11 │               NULL │                NULL │                 3 │
+        └────────┴────────────────────┴─────────────────────┴───────────────────┘
         """
         return ops.Bucket(
             self,
@@ -1111,6 +1291,53 @@ def histogram(
         -------
         Column
             Bucketed column
+
+        Examples
+        --------
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> t = ibis.memtable(
+        ...     {
+        ...         "values": [-1, 3, 5, 6, 8, 10, 11, 23, 25],
+        ...     }
+        ... )
+
+        Compute a histogram with 5 bins.
+
+        >>> t.mutate(histogram=t.values.histogram(nbins=5))
+        ┏━━━━━━━━┳━━━━━━━━━━━┓
+        ┃ values ┃ histogram ┃
+        ┡━━━━━━━━╇━━━━━━━━━━━┩
+        │ int64  │ int64     │
+        ├────────┼───────────┤
+        │     -1 │         0 │
+        │      3 │         0 │
+        │      5 │         1 │
+        │      6 │         1 │
+        │      8 │         1 │
+        │     10 │         2 │
+        │     11 │         2 │
+        │     23 │         4 │
+        │     25 │         4 │
+        └────────┴───────────┘
+
+        Compute a histogram with a fixed bin width of 10.
+        >>> t.mutate(histogram=t.values.histogram(binwidth=10))
+        ┏━━━━━━━━┳━━━━━━━━━━━┓
+        ┃ values ┃ histogram ┃
+        ┡━━━━━━━━╇━━━━━━━━━━━┩
+        │ int64  │ int64     │
+        ├────────┼───────────┤
+        │     -1 │         0 │
+        │      3 │         0 │
+        │      5 │         0 │
+        │      6 │         0 │
+        │      8 │         0 │
+        │     10 │         1 │
+        │     11 │         1 │
+        │     23 │         2 │
+        │     25 │         2 │
+        └────────┴───────────┘
         """
 
         if nbins is not None and binwidth is not None:
@@ -1365,41 +1592,6 @@ def __invert__(self) -> IntegerValue:
         else:
             return node.to_expr()
 
-    def label(self, labels: Iterable[str], nulls: str | None = None) -> ir.StringValue:
-        """Label a set of integer values with strings.
-
-        Parameters
-        ----------
-        labels
-            An iterable of string labels. Each integer value in `self` will be mapped to
-            a value in `labels`.
-        nulls
-            String label to use for `NULL` values
-
-        Returns
-        -------
-        StringValue
-            `self` labeled with `labels`
-
-        Examples
-        --------
-        >>> import ibis
-        >>> ibis.options.interactive = True
-        >>> t = ibis.memtable({"a": [0, 1, 0, 2]})
-        >>> t.select(t.a, labeled=t.a.label(["a", "b", "c"]))
-        ┏━━━━━━━┳━━━━━━━━━┓
-        ┃ a     ┃ labeled ┃
-        ┡━━━━━━━╇━━━━━━━━━┩
-        │ int64 │ string  │
-        ├───────┼─────────┤
-        │     0 │ a       │
-        │     1 │ b       │
-        │     0 │ a       │
-        │     2 │ c       │
-        └───────┴─────────┘
-        """
-        return self.cases(*enumerate(labels), else_=nulls)
-
 
 @public
 class IntegerScalar(NumericScalar, IntegerValue):
diff --git a/ibis/expr/types/pretty.py b/ibis/expr/types/pretty.py
index 88f12170d6ea2..1052c48543c88 100644
--- a/ibis/expr/types/pretty.py
+++ b/ibis/expr/types/pretty.py
@@ -56,10 +56,15 @@ def _(dtype, values, **fmt_kwargs):
 def _(dtype, values, **fmt_kwargs):
     import shapely
 
-    return _format_nested(
-        [shapely.from_wkb(v) if isinstance(v, (bytes, str)) else v for v in values],
-        **fmt_kwargs,
-    )
+    def try_parse(v):
+        if v is None:
+            return v
+        try:
+            return shapely.from_wkb(v)
+        except shapely.errors.GEOSException:
+            return shapely.from_wkt(v)
+
+    return _format_nested(map(try_parse, values), **fmt_kwargs)
 
 
 @format_values.register(dt.JSON)
diff --git a/ibis/expr/types/relations.py b/ibis/expr/types/relations.py
index c7b6619639a84..c95c6f4d47233 100644
--- a/ibis/expr/types/relations.py
+++ b/ibis/expr/types/relations.py
@@ -1718,7 +1718,7 @@ def intersect(self, table: Table, *rest: Table, distinct: bool = True) -> Table:
         --------
         >>> import ibis
         >>> ibis.options.interactive = True
-        >>> t1 = ibis.memtable({"a": [1, 2]})
+        >>> t1 = ibis.memtable({"a": [1, 2, 2]})
         >>> t1
         ┏━━━━━━━┓
         ┃ a     ┃
@@ -1727,8 +1727,9 @@ def intersect(self, table: Table, *rest: Table, distinct: bool = True) -> Table:
         ├───────┤
         │     1 │
         │     2 │
+        │     2 │
         └───────┘
-        >>> t2 = ibis.memtable({"a": [2, 3]})
+        >>> t2 = ibis.memtable({"a": [2, 2, 3]})
         >>> t2
         ┏━━━━━━━┓
         ┃ a     ┃
@@ -1736,6 +1737,7 @@ def intersect(self, table: Table, *rest: Table, distinct: bool = True) -> Table:
         │ int64 │
         ├───────┤
         │     2 │
+        │     2 │
         │     3 │
         └───────┘
         >>> t1.intersect(t2)
@@ -1746,6 +1748,26 @@ def intersect(self, table: Table, *rest: Table, distinct: bool = True) -> Table:
         ├───────┤
         │     2 │
         └───────┘
+        >>> t1.intersect(t2, distinct=False)
+        ┏━━━━━━━┓
+        ┃ a     ┃
+        ┡━━━━━━━┩
+        │ int64 │
+        ├───────┤
+        │     2 │
+        │     2 │
+        └───────┘
+
+        More than two table expressions can be intersected at once.
+        >>> t3 = ibis.memtable({"a": [2, 3, 3]})
+        >>> t1.intersect(t2, t3)
+        ┏━━━━━━━┓
+        ┃ a     ┃
+        ┡━━━━━━━┩
+        │ int64 │
+        ├───────┤
+        │     2 │
+        └───────┘
         """
         return self._assemble_set_op(ops.Intersection, table, *rest, distinct=distinct)
 
@@ -1812,13 +1834,8 @@ def difference(self, table: Table, *rest: Table, distinct: bool = True) -> Table
 
     @deprecated(as_of="9.0", instead="use table.as_scalar() instead")
     def to_array(self) -> ir.Column:
-        """View a single column table as an array.
+        """Deprecated - use `as_scalar` instead."""
 
-        Returns
-        -------
-        Value
-            A single column view of a table
-        """
         schema = self.schema()
         if len(schema) != 1:
             raise com.ExpressionError(
@@ -3215,6 +3232,88 @@ def asof_join(
         -------
         Table
             Table expression
+
+        Examples
+        --------
+        >>> from datetime import datetime, timedelta
+        >>> import ibis
+        >>> ibis.options.interactive = True
+        >>> sensors = ibis.memtable(
+        ...     {
+        ...         "site": ["a", "b", "a", "b", "a"],
+        ...         "humidity": [0.3, 0.4, 0.5, 0.6, 0.7],
+        ...         "event_time": [
+        ...             datetime(2024, 11, 16, 12, 0, 15, 500000),
+        ...             datetime(2024, 11, 16, 12, 0, 15, 700000),
+        ...             datetime(2024, 11, 17, 18, 12, 14, 950000),
+        ...             datetime(2024, 11, 17, 18, 12, 15, 120000),
+        ...             datetime(2024, 11, 18, 18, 12, 15, 100000),
+        ...         ],
+        ...     }
+        ... )
+        >>> events = ibis.memtable(
+        ...     {
+        ...         "site": ["a", "b", "a"],
+        ...         "event_type": [
+        ...             "cloud coverage",
+        ...             "rain start",
+        ...             "rain stop",
+        ...         ],
+        ...         "event_time": [
+        ...             datetime(2024, 11, 16, 12, 0, 15, 400000),
+        ...             datetime(2024, 11, 17, 18, 12, 15, 100000),
+        ...             datetime(2024, 11, 18, 18, 12, 15, 100000),
+        ...         ],
+        ...     }
+        ... )
+
+        This setup simulates time-series data by pairing irregularly collected sensor
+        readings with weather events, enabling analysis of environmental conditions
+        before each event. We will use the `asof_join` method to match each event with
+        the most recent prior sensor reading from the sensors table at the same site.
+
+        >>> sensors
+        ┏━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┓
+        ┃ site   ┃ humidity ┃ event_time              ┃
+        ┡━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━┩
+        │ string │ float64  │ timestamp               │
+        ├────────┼──────────┼─────────────────────────┤
+        │ a      │      0.3 │ 2024-11-16 12:00:15.500 │
+        │ b      │      0.4 │ 2024-11-16 12:00:15.700 │
+        │ a      │      0.5 │ 2024-11-17 18:12:14.950 │
+        │ b      │      0.6 │ 2024-11-17 18:12:15.120 │
+        │ a      │      0.7 │ 2024-11-18 18:12:15.100 │
+        └────────┴──────────┴─────────────────────────┘
+        >>> events
+        ┏━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┓
+        ┃ site   ┃ event_type     ┃ event_time              ┃
+        ┡━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━┩
+        │ string │ string         │ timestamp               │
+        ├────────┼────────────────┼─────────────────────────┤
+        │ a      │ cloud coverage │ 2024-11-16 12:00:15.400 │
+        │ b      │ rain start     │ 2024-11-17 18:12:15.100 │
+        │ a      │ rain stop      │ 2024-11-18 18:12:15.100 │
+        └────────┴────────────────┴─────────────────────────┘
+
+        We can find the closest event to each sensor reading with a 1 second tolerance.
+        Using the "site" column as a join predicate ensures we only match events that
+        occurred at or near the same site as the sensor reading.
+
+        >>> tolerance = timedelta(seconds=1)
+        >>> sensors.asof_join(events, on="event_time", predicates="site", tolerance=tolerance).drop(
+        ...     "event_time_right"
+        ... ).order_by("event_time")
+        ┏━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓
+        ┃ site   ┃ humidity ┃ event_time              ┃ site_right ┃ event_type     ┃
+        ┡━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
+        │ string │ float64  │ timestamp               │ string     │ string         │
+        ├────────┼──────────┼─────────────────────────┼────────────┼────────────────┤
+        │ a      │      0.3 │ 2024-11-16 12:00:15.500 │ a          │ cloud coverage │
+        │ b      │      0.4 │ 2024-11-16 12:00:15.700 │ NULL       │ NULL           │
+        │ a      │      0.5 │ 2024-11-17 18:12:14.950 │ NULL       │ NULL           │
+        │ b      │      0.6 │ 2024-11-17 18:12:15.120 │ b          │ rain start     │
+        │ a      │      0.7 │ 2024-11-18 18:12:15.100 │ a          │ rain stop      │
+        └────────┴──────────┴─────────────────────────┴────────────┴────────────────┘
         """
         from ibis.expr.types.joins import Join
 
@@ -4589,6 +4688,10 @@ def window_by(
     def value_counts(self, *, name: str | None = None) -> ir.Table:
         """Compute a frequency table of this table's values.
 
+        ::: {.callout-note title="Changed in version 10.0.0"}
+        Added `name` parameter.
+        :::
+
         Parameters
         ----------
         name
diff --git a/ibis/expr/types/strings.py b/ibis/expr/types/strings.py
index 6383fe6132562..1d54913d1be6a 100644
--- a/ibis/expr/types/strings.py
+++ b/ibis/expr/types/strings.py
@@ -410,13 +410,6 @@ def capitalize(self) -> StringValue:
         """
         return ops.Capitalize(self).to_expr()
 
-    @util.deprecated(
-        instead="use the `capitalize` method", as_of="9.0", removed_in="10.0"
-    )
-    def initcap(self) -> StringValue:
-        """Deprecated. Use `capitalize` instead."""
-        return self.capitalize()
-
     def __contains__(self, *_: Any) -> bool:
         raise TypeError("Use string_expr.contains(arg)")
 
@@ -455,7 +448,7 @@ def hashbytes(
         self,
         how: Literal["md5", "sha1", "sha256", "sha512"] = "sha256",
     ) -> ir.BinaryValue:
-        """Compute the binary hash value of the input.
+        r"""Compute the binary hash value of the input.
 
         Parameters
         ----------
@@ -466,6 +459,12 @@ def hashbytes(
         -------
         BinaryValue
             Binary expression
+
+        Examples
+        --------
+        >>> import ibis
+        >>> str_lit = ibis.literal("hello")
+        >>> result = str_lit.hashbytes("md5")  # b']A@*\xbcK*v\xb9q\x9d\x91\x10\x17\xc5\x92'
         """
         return ops.HashBytes(self, how).to_expr()
 
@@ -492,7 +491,7 @@ def hexdigest(
         >>> t = ibis.memtable({"species": ["Adelie", "Chinstrap", "Gentoo"]})
         >>> t.species.hexdigest()
         ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
-        ┃ HexDigest(species)                                           ┃
+        ┃ HexDigest(species)                                               ┃
         ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
         │ string                                                           │
         ├──────────────────────────────────────────────────────────────────┤
diff --git a/ibis/expr/types/temporal_windows.py b/ibis/expr/types/temporal_windows.py
index 170b3b29aa990..18e4076a6c1d9 100644
--- a/ibis/expr/types/temporal_windows.py
+++ b/ibis/expr/types/temporal_windows.py
@@ -7,9 +7,9 @@
 import ibis.common.exceptions as com
 import ibis.expr.operations as ops
 import ibis.expr.types as ir
-from ibis.common.collections import FrozenOrderedDict  # noqa: TCH001
+from ibis.common.collections import FrozenOrderedDict  # noqa: TC001
 from ibis.common.grounds import Concrete
-from ibis.expr.operations.relations import Unaliased  # noqa: TCH001
+from ibis.expr.operations.relations import Unaliased  # noqa: TC001
 from ibis.expr.types.relations import unwrap_aliases
 
 if TYPE_CHECKING:
diff --git a/ibis/formats/pyarrow.py b/ibis/formats/pyarrow.py
index 93c41b7169aa7..fcc8d708f4b05 100644
--- a/ibis/formats/pyarrow.py
+++ b/ibis/formats/pyarrow.py
@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import contextlib
 from typing import TYPE_CHECKING, Any
 
 import pyarrow as pa
@@ -43,6 +44,9 @@
     pa.binary(): dt.Binary,
 }
 
+with contextlib.suppress(AttributeError):
+    _from_pyarrow_types[pa.string_view()] = dt.String
+
 
 _to_pyarrow_types = {
     dt.Null: pa.null(),
diff --git a/ibis/selectors.py b/ibis/selectors.py
index 09d881a9c1dfe..179e393908044 100644
--- a/ibis/selectors.py
+++ b/ibis/selectors.py
@@ -65,11 +65,11 @@
 import ibis.expr.operations as ops
 import ibis.expr.types as ir
 from ibis import util
-from ibis.common.collections import frozendict  # noqa: TCH001
+from ibis.common.collections import frozendict  # noqa: TC001
 from ibis.common.deferred import Deferred, Resolver
 from ibis.common.grounds import Concrete, Singleton
 from ibis.common.selectors import All, Any, Expandable, Selector
-from ibis.common.typing import VarTuple  # noqa: TCH001
+from ibis.common.typing import VarTuple  # noqa: TC001
 
 
 def __getattr__(name):
diff --git a/ibis/tests/expr/test_value_exprs.py b/ibis/tests/expr/test_value_exprs.py
index 35e99e31458e9..4b6e349aaf6ef 100644
--- a/ibis/tests/expr/test_value_exprs.py
+++ b/ibis/tests/expr/test_value_exprs.py
@@ -442,7 +442,7 @@ def test_cast_same_type_noop(table):
     assert i.cast("int8") is i
 
 
-def test_string_slice_step(table):
+def test_string_slice_step():
     s = ibis.literal("abcde")
     s[1:3]
     s[1:3:1]
@@ -509,7 +509,7 @@ def test_negate_boolean_column(table):
 
 
 @pytest.mark.parametrize("column", ["a", "b"])
-@pytest.mark.parametrize("condition_fn", [lambda t: None, lambda t: t.a > 8])
+@pytest.mark.parametrize("condition_fn", [lambda _: None, lambda t: t.a > 8])
 def test_arbitrary(table, column, condition_fn):
     col = table[column]
     where = condition_fn(table)
@@ -519,12 +519,6 @@ def test_arbitrary(table, column, condition_fn):
     assert isinstance(expr.op(), ops.Arbitrary)
 
 
-def test_arbitrary_how_deprecated(table):
-    with pytest.warns(FutureWarning, match="v9.0"):
-        out = table.a.arbitrary(how="last")
-    assert isinstance(out.op(), ops.Arbitrary)
-
-
 @pytest.mark.parametrize(
     ["column", "operation"],
     [
@@ -803,12 +797,12 @@ def test_literal_promotions(table, op, name, case, ex_type):
 @pytest.mark.parametrize(
     ("op", "left_fn", "right_fn", "ex_type"),
     [
-        (operator.sub, lambda t: t["a"], lambda t: 0, "int8"),
-        (operator.sub, lambda t: 0, lambda t: t["a"], "int16"),
-        (operator.sub, lambda t: t["b"], lambda t: 0, "int16"),
-        (operator.sub, lambda t: 0, lambda t: t["b"], "int32"),
-        (operator.sub, lambda t: t["c"], lambda t: 0, "int32"),
-        (operator.sub, lambda t: 0, lambda t: t["c"], "int64"),
+        (operator.sub, lambda t: t["a"], lambda _: 0, "int8"),
+        (operator.sub, lambda _: 0, lambda t: t["a"], "int16"),
+        (operator.sub, lambda t: t["b"], lambda _: 0, "int16"),
+        (operator.sub, lambda _: 0, lambda t: t["b"], "int32"),
+        (operator.sub, lambda t: t["c"], lambda _: 0, "int32"),
+        (operator.sub, lambda _: 0, lambda t: t["c"], "int64"),
     ],
     ids=lambda arg: str(getattr(arg, "__name__", arg)),
 )
diff --git a/ibis/tests/expr/test_window_functions.py b/ibis/tests/expr/test_window_functions.py
index fdc7be22f385e..954918334ec0c 100644
--- a/ibis/tests/expr/test_window_functions.py
+++ b/ibis/tests/expr/test_window_functions.py
@@ -38,7 +38,7 @@ def test_mutate_with_analytic_functions(alltypes):
         f.max(),
     ]
 
-    exprs = [expr.name("e%d" % i) for i, expr in enumerate(exprs)]
+    exprs = [expr.name(f"e{i:d}") for i, expr in enumerate(exprs)]
     proj = g.mutate(exprs)
 
     values = list(proj.op().values.values())
diff --git a/ibis/util.py b/ibis/util.py
index 993e539dfa884..42d1d0e5b3fc7 100644
--- a/ibis/util.py
+++ b/ibis/util.py
@@ -640,7 +640,7 @@ def __getattr__(self, name: str):
 class PseudoHashable(Coercible, Generic[V]):
     """A wrapper that provides a best effort precomputed hash."""
 
-    __slots__ = ("obj", "hash")
+    __slots__ = ("hash", "obj")
     obj: V
 
     def __init__(self, obj: V):
diff --git a/justfile b/justfile
index 169f187c362b7..20c86605ae265 100644
--- a/justfile
+++ b/justfile
@@ -273,11 +273,9 @@ build-jupyterlite:
     rm -rf dist/
 
     ibis_dev_version="$(just bump-version)"
-    uvx --from=toml-cli toml set --toml-path=pyproject.toml project.version "$ibis_dev_version"
-    sed -i "s/__version__ = \".+\"/__version__ = \"$ibis_dev_version\"/" ibis/__init__.py
     uv build --wheel
 
-    git checkout pyproject.toml ibis/__init__.py
+    git checkout pyproject.toml ibis/__init__.py uv.lock
 
     jupyter lite build \
         --debug \
@@ -303,6 +301,16 @@ docs-build-all:
 chat *args:
     zulip-term {{ args }}
 
-# bump the version number to the next pre-release version
-@bump-version:
+# compute the next version number
+@compute-version:
     uv run --only-group dev python ci/release/bump_version.py
+
+# bump the version number in necessary files
+bump-version:
+    #!/usr/bin/env bash
+
+    ibis_dev_version="$(just compute-version)"
+    uvx --from=toml-cli toml set --toml-path=pyproject.toml project.version "$ibis_dev_version" > /dev/null
+    sed -i 's/__version__ = .\+/__version__ = "'$ibis_dev_version'"/g' ibis/__init__.py
+    just lock > /dev/null
+    echo "$ibis_dev_version"
diff --git a/nix/ibis.nix b/nix/ibis.nix
deleted file mode 100644
index 7359fe6e039cd..0000000000000
--- a/nix/ibis.nix
+++ /dev/null
@@ -1,54 +0,0 @@
-{ pkgs, python, mkEnv, stdenv, ... }:
-let
-  pythonEnv = mkEnv python {
-    editable = false;
-    deps = {
-      ibis-framework = [
-        # Groups
-        "tests"
-        # Extras
-        "duckdb"
-        "datafusion"
-        "sqlite"
-        "polars"
-        "decompiler"
-        "visualization"
-      ];
-    };
-  };
-
-in
-stdenv.mkDerivation {
-  name = "ibis-framework-test";
-  nativeCheckInputs = [ pythonEnv pkgs.graphviz-nox ];
-  src = ../.;
-  doCheck = true;
-  preCheck = ''
-    set -euo pipefail
-
-    ln -s ${pkgs.ibisTestingData} $PWD/ci/ibis-testing-data
-
-    HOME="$(mktemp -d)"
-    export HOME
-  '';
-  checkPhase = ''
-    runHook preCheck
-    pytest -m datafusion
-    pytest -m 'core or duckdb or sqlite or polars' --numprocesses $NIX_BUILD_CORES --dist loadgroup
-    runHook postCheck
-  '';
-
-  # Don't run the fixup phase(s), to avoid permissions errors
-  dontFixup = true;
-
-  # ibis-framework was already built as a part of the env, this is just running
-  # tests. Symlink the built test env for convenience.
-  #
-  # Note: Testing could technically be done as a part of the virtualenv
-  # constructor derivation.
-  installPhase = ''
-    runHook preInstall
-    ln -s ${pythonEnv} $out
-    runHook postInstall
-  '';
-}
diff --git a/nix/overlay.nix b/nix/overlay.nix
index 18534519e579b..65ede9bf6aee0 100644
--- a/nix/overlay.nix
+++ b/nix/overlay.nix
@@ -1,4 +1,7 @@
-{ uv2nix, pyproject-nix }: pkgs: super:
+{ uv2nix
+, pyproject-nix
+, pyproject-build-systems
+}: pkgs: super:
 let
   # Create package overlay from workspace.
   workspace = uv2nix.lib.workspace.loadWorkspace { workspaceRoot = ../.; };
@@ -7,33 +10,82 @@ let
     sourcePreference = "wheel";
   };
 
+  # Create an overlay enabling editable mode for all local dependencies.
+  # This is for usage with `nix develop`
   editableOverlay =
-    # Create an overlay enabling editable mode for all local dependencies.
-    # This is for usage with nix-nix develop
     workspace.mkEditablePyprojectOverlay {
       root = "$REPO_ROOT";
     };
 
+  # Build fixups overlay
   pyprojectOverrides = import ./pyproject-overrides.nix { inherit pkgs; };
 
-  mkEnv = python: { deps ? workspace.deps.all, editable ? true }:
-    # This devShell uses uv2nix to construct a virtual environment purely from Nix, using the same dependency specification as the application.
-    #
-    # This means that any changes done to your local files do not require a rebuild.
+  # Adds tests to ibis-framework.passthru.tests
+  testOverlay = import ./tests.nix {
+    inherit pkgs;
+    deps = defaultDeps;
+  };
+
+  # Default dependencies for env
+  defaultDeps = {
+    ibis-framework = [
+      "duckdb"
+      "datafusion"
+      "sqlite"
+      "polars"
+      "decompiler"
+      "visualization"
+    ];
+  };
+
+  mkEnv' =
+    {
+      # Python dependency specification
+      deps
+    , # Installs ibis-framework as an editable package for use with `nix develop`.
+      # This means that any changes done to your local files do not require a rebuild.
+      editable
+    ,
+    }: python:
     let
       # Construct package set
       pythonSet =
         # Use base package set from pyproject.nix builders
         (pkgs.callPackage pyproject-nix.build.packages {
           inherit python;
+          stdenv = pkgs.stdenv.override {
+            targetPlatform = pkgs.stdenv.targetPlatform // {
+              darwinSdkVersion = "12.0";
+            };
+          };
         }).overrideScope
           (lib.composeManyExtensions ([
+            pyproject-build-systems.overlays.default
             envOverlay
             pyprojectOverrides
-          ] ++ lib.optional editable editableOverlay));
+          ]
+          ++ lib.optionals editable [ editableOverlay ]
+          ++ lib.optionals (!editable) [ testOverlay ]));
     in
     # Build virtual environment
-    pythonSet.mkVirtualEnv "ibis-${python.pythonVersion}" deps;
+    (pythonSet.mkVirtualEnv "ibis-${python.pythonVersion}" deps).overrideAttrs (_old: {
+      # Add passthru.tests from ibis-framework to venv passthru.
+      # This is used to build tests by CI.
+      passthru = {
+        inherit (pythonSet.ibis-framework.passthru) tests;
+      };
+    });
+
+  mkEnv = mkEnv' {
+    deps = defaultDeps;
+    editable = false;
+  };
+
+  mkDevEnv = mkEnv' {
+    # Enable all dependencies for development shell
+    deps = workspace.deps.all;
+    editable = true;
+  };
 
   inherit (pkgs) lib stdenv;
 in
@@ -46,30 +98,24 @@ in
     sha256 = "sha256-1fenQNQB+Q0pbb0cbK2S/UIwZDE4PXXG15MH3aVbyLU=";
   };
 
-  ibis310 = pkgs.callPackage ./ibis.nix {
-    python = pkgs.python310;
-    inherit mkEnv;
-  };
-
-  ibis311 = pkgs.callPackage ./ibis.nix {
-    python = pkgs.python311;
-    inherit mkEnv;
-  };
-
-  ibis312 = pkgs.callPackage ./ibis.nix {
-    python = pkgs.python312;
-    inherit mkEnv;
-  };
-
-  ibisDevEnv310 = mkEnv pkgs.python310 { };
-  ibisDevEnv311 = mkEnv pkgs.python311 { };
-  ibisDevEnv312 = mkEnv pkgs.python312 { };
-
-  ibisSmallDevEnv = mkEnv pkgs.python312 {
-    deps = {
-      ibis-framework = [ "dev" ];
-    };
-  };
+  ibis310 = mkEnv pkgs.python310;
+  ibis311 = mkEnv pkgs.python311;
+  ibis312 = mkEnv pkgs.python312;
+  ibis313 = mkEnv pkgs.python313;
+
+  ibisDevEnv310 = mkDevEnv pkgs.python310;
+  ibisDevEnv311 = mkDevEnv pkgs.python311;
+  ibisDevEnv312 = mkDevEnv pkgs.python312;
+  ibisDevEnv313 = mkDevEnv pkgs.python313;
+
+  ibisSmallDevEnv = mkEnv'
+    {
+      deps = {
+        ibis-framework = [ "dev" ];
+      };
+      editable = false;
+    }
+    pkgs.python313;
 
   duckdb = super.duckdb.overrideAttrs (
     _: lib.optionalAttrs (stdenv.isAarch64 && stdenv.isLinux) {
@@ -110,7 +156,7 @@ in
   gen-examples = pkgs.writeShellApplication {
     name = "gen-examples";
     runtimeInputs = [
-      pkgs.ibisDevEnv312
+      pkgs.ibisDevEnv313
       (pkgs.rWrapper.override {
         packages = with pkgs.rPackages; [
           Lahman
diff --git a/nix/pyproject-overrides.nix b/nix/pyproject-overrides.nix
index cde2a9780207a..c9c8bfffc1566 100644
--- a/nix/pyproject-overrides.nix
+++ b/nix/pyproject-overrides.nix
@@ -29,6 +29,10 @@ let
     tomli.flit-core = [ ];
     toolz.setuptools = [ ];
     typing-extensions.flit-core = [ ];
+    debugpy.setuptools = [ ];
+    google-crc32c.setuptools = [ ];
+    lz4.setuptools = [ ];
+    snowflake-connector-python.setuptools = [ ];
   } // lib.optionalAttrs stdenv.hostPlatform.isDarwin {
     duckdb = {
       setuptools = [ ];
@@ -38,15 +42,23 @@ let
   };
 in
 (lib.optionalAttrs stdenv.hostPlatform.isDarwin {
-  pyarrow = prev.pyarrow.overrideAttrs (attrs: {
+  pyproj = prev.pyproj.overrideAttrs (attrs: {
     nativeBuildInputs = attrs.nativeBuildInputs or [ ] ++ [
       final.setuptools
-      final.setuptools-scm
       final.cython
-      final.numpy
-      pkgs.cmake
-      pkgs.arrow-cpp
+      pkgs.proj
     ];
+    PROJ_DIR = "${lib.getBin pkgs.proj}";
+    PROJ_INCDIR = "${lib.getDev pkgs.proj}";
+  });
+
+  psygnal = prev.psygnal.overrideAttrs (_: {
+    src = pkgs.fetchFromGitHub {
+      owner = "pyapp-kit";
+      repo = prev.psygnal.pname;
+      rev = "refs/tags/v${prev.psygnal.version}";
+      hash = "sha256-eGJWtmw2Ps3jII4T8E6s3djzxfqcSdyPemvejal0cn4=";
+    };
   });
 }) // lib.mapAttrs (name: spec: addBuildSystems prev.${name} spec) buildSystemOverrides // {
   mysqlclient = prev.mysqlclient.overrideAttrs (attrs: {
diff --git a/nix/quarto/default.nix b/nix/quarto/default.nix
index 9c8bd0af7646c..ea10b5d8dc3a4 100644
--- a/nix/quarto/default.nix
+++ b/nix/quarto/default.nix
@@ -7,24 +7,29 @@
 , rWrapper
 , rPackages
 , autoPatchelfHook
+, libgcc
 }:
 
 let
-  platforms = {
-    "x86_64-linux" = "linux-amd64";
-    "aarch64-linux" = "linux-arm64";
-    "aarch64-darwin" = "macos";
+  platforms = rec {
+    x86_64-linux = "linux-amd64";
+    aarch64-linux = "linux-arm64";
+    aarch64-darwin = "macos";
+    x86_64-darwin = aarch64-darwin;
   };
-  shas = {
-    "x86_64-linux" = "sha256-mVoFBQJJHGn5ZbwOtamshEQl9FzmRVEBye3bBXFUlUI=";
-    "aarch64-linux" = "sha256-TNik4+OdDqGwArw9wkrq4wNHt6tGgYo32V9KNPSsPWo=";
-    "aarch64-darwin" = "sha256-fjcmyVyPSHyHBICjpweuCnGtMAAlPNNzBMHEk+2emBA=";
+  shas = rec {
+    x86_64-linux = "sha256-15fHlnE6V8FNgRX0mkXWJqFkeGlwlqBCHy0tmA5fnUo=";
+    aarch64-linux = "sha256-yzzaMnKyeEGGI3Col7iD6FAF3a6bXlfsE8EHmNRu4LY=";
+    aarch64-darwin = "sha256-W0IvOWdW7g7iaJcK6FF3X+1+EAWuqYUA1Zt/Es2aThY=";
+    # hashes are the same for both macos architectures, because the packages
+    # are identical
+    x86_64-darwin = aarch64-darwin;
   };
   inherit (stdenv.hostPlatform) system;
 in
 stdenv.mkDerivation rec {
   pname = "quarto";
-  version = "1.6.32";
+  version = "1.6.39";
   src = fetchurl {
     url = "https://github.com/quarto-dev/quarto-cli/releases/download/v${version}/quarto-${version}-${platforms.${system}}.tar.gz";
     sha256 = shas.${system};
@@ -34,7 +39,10 @@ stdenv.mkDerivation rec {
   sourceRoot = lib.optionalString stdenv.isDarwin "quarto-${version}";
   unpackCmd = lib.optionalString stdenv.isDarwin "tar xzf $curSrc --directory=$sourceRoot";
 
-  nativeBuildInputs = lib.optionals stdenv.isLinux [ autoPatchelfHook ] ++ [ makeWrapper ];
+  nativeBuildInputs = lib.optionals stdenv.isLinux [ autoPatchelfHook ] ++ [
+    makeWrapper
+    libgcc
+  ];
 
   preFixup =
     let
@@ -69,7 +77,7 @@ stdenv.mkDerivation rec {
     homepage = "https://quarto.org/";
     changelog = "https://github.com/quarto-dev/quarto-cli/releases/tag/v${version}";
     license = licenses.gpl2Plus;
-    platforms = [ "x86_64-linux" "aarch64-linux" "aarch64-darwin" ];
+    platforms = builtins.attrNames platforms;
     sourceProvenance = with sourceTypes; [ binaryNativeCode binaryBytecode ];
   };
 }
diff --git a/nix/tests.nix b/nix/tests.nix
new file mode 100644
index 0000000000000..eaa8cbceeca5d
--- /dev/null
+++ b/nix/tests.nix
@@ -0,0 +1,41 @@
+{ pkgs, deps }:
+let
+  inherit (pkgs) stdenv;
+in
+final: prev: {
+  ibis-framework = prev.ibis-framework.overrideAttrs (old: {
+    passthru = old.passthru // {
+      tests = old.passthru.tests or { } // {
+        pytest =
+          let
+            pythonEnv = final.mkVirtualEnv "ibis-framework-test-env" (deps // {
+              # Use default dependencies from overlay.nix + enabled tests group.
+              ibis-framework = deps.ibis-framework or [ ] ++ [ "tests" ];
+            });
+          in
+          stdenv.mkDerivation {
+            name = "ibis-framework-test";
+            nativeCheckInputs = [ pythonEnv pkgs.graphviz-nox ];
+            src = ../.;
+            doCheck = true;
+            preCheck = ''
+              set -euo pipefail
+
+              ln -s ${pkgs.ibisTestingData} $PWD/ci/ibis-testing-data
+
+              HOME="$(mktemp -d)"
+              export HOME
+            '';
+            checkPhase = ''
+              runHook preCheck
+              pytest -m datafusion
+              pytest -m 'core or duckdb or sqlite or polars' --numprocesses $NIX_BUILD_CORES --dist loadgroup
+              runHook postCheck
+            '';
+
+            installPhase = "mkdir $out";
+          };
+      };
+    };
+  });
+}
diff --git a/pyproject.toml b/pyproject.toml
index f4e58d2e3a684..9ec602030778e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,7 +30,7 @@ dependencies = [
   "parsy>=2,<3",
   "python-dateutil>=2.8.2,<3",
   "pytz>=2022.7",
-  "sqlglot>=23.4,<25.30",
+  "sqlglot>=23.4,<26.1",
   "toolz>=0.11,<2",
   "typing-extensions>=4.3.0,<5",
 ]
@@ -47,7 +47,7 @@ bigquery = [
   "db-dtypes>=0.3,<2",
   "google-cloud-bigquery>=3,<4",
   "google-cloud-bigquery-storage>=2,<3",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "pydata-google-auth>=1.4.0,<2",
   "numpy>=1.23.2,<3",
@@ -56,7 +56,7 @@ bigquery = [
 ]
 clickhouse = [
   "clickhouse-connect[arrow,pandas,numpy]>=0.5.23,<1",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -64,15 +64,15 @@ clickhouse = [
 ]
 databricks = [
   "databricks-sql-connector-core>=4,<5",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
   "rich>=12.4.4,<14",
 ]
 datafusion = [
-  "datafusion>=0.6,<43",
-  "pyarrow>=10.0.1,<19",
+  "datafusion>=0.6,<44",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -80,7 +80,7 @@ datafusion = [
 ]
 druid = [
   "pydruid>=0.6.7,<1",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -88,7 +88,7 @@ druid = [
 ]
 duckdb = [
   "duckdb>=0.10,<1.2",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -97,14 +97,14 @@ duckdb = [
 ]
 exasol = [
   "pyexasol>=0.25.2,<1",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
   "rich>=12.4.4,<14",
 ]
 flink = [
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -112,7 +112,7 @@ flink = [
 ]
 impala = [
   "impyla>=0.17,<1",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -120,7 +120,7 @@ impala = [
 ]
 mssql = [
   "pyodbc>=4.0.39,<6",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -128,7 +128,7 @@ mssql = [
 ]
 mysql = [
   "mysqlclient>=2.2.4,<3",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -137,7 +137,7 @@ mysql = [
 oracle = [
   "oracledb>=1.3.1,<3",
   "packaging>=21.3,<25",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -146,7 +146,7 @@ oracle = [
 polars = [
   "polars>=1,<2",
   "packaging>=21.3,<25",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -154,7 +154,7 @@ polars = [
 ]
 postgres = [
   "psycopg2>=2.8.4,<3",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -163,7 +163,7 @@ postgres = [
 pyspark = [
   "pyspark>=3.3.3,<4",
   "packaging>=21.3,<25",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -171,7 +171,7 @@ pyspark = [
 ]
 snowflake = [
   "snowflake-connector-python>=3.0.2,<4,!=3.3.0b1",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -179,7 +179,7 @@ snowflake = [
 ]
 sqlite = [
   "regex>=2021.7.6",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -187,7 +187,7 @@ sqlite = [
 ]
 risingwave = [
   "psycopg2>=2.8.4,<3",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -195,7 +195,7 @@ risingwave = [
 ]
 trino = [
   "trino>=0.321,<1",
-  "pyarrow>=10.0.1,<19",
+  "pyarrow>=10.0.1",
   "pyarrow-hotfix>=0.4,<1",
   "numpy>=1.23.2,<3",
   "pandas>=1.5.3,<3",
@@ -228,7 +228,7 @@ dev = [
 tests = [
   "cloudpickle",
   "filelock>=3.7.0,<4",
-  "fsspec<2024.10.1",
+  "fsspec<2024.12.1",
   "hypothesis>=6.58.0,<7",
   "packaging>=21.3,<25",
   "pytest>=8.2.0,<9",
@@ -443,7 +443,6 @@ markers = [
 line-length = 88
 respect-gitignore = true
 exclude = [".direnv", "result-*", "*_py310.py", "decompiled.py", "out_tpch.py"]
-target-version = "py310"
 
 [tool.ruff.lint]
 select = [
diff --git a/requirements-dev.txt b/requirements-dev.txt
index 4afdc0b6c38d5..bad6b06b54278 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -1,26 +1,26 @@
 -e .
-aiohappyeyeballs==2.4.3
-aiohttp==3.10.10
-aiosignal==1.3.1
+aiohappyeyeballs==2.4.4
+aiohttp==3.11.11
+aiosignal==1.3.2
 alembic==1.14.0
-altair==5.4.1
+altair==5.5.0
 annotated-types==0.7.0
-anyio==4.6.2.post1
+anyio==4.7.0
 anywidget==0.9.13
 appdirs==1.4.4
 appnope==0.1.4 ; platform_system == 'Darwin'
 argon2-cffi==23.1.0
 argon2-cffi-bindings==21.2.0
-arro3-compute==0.4.2
-arro3-core==0.4.2
-arro3-io==0.4.2
+arro3-compute==0.4.5
+arro3-core==0.4.5
+arro3-io==0.4.5
 arrow==1.3.0
 asn1crypto==1.5.1
-asttokens==2.4.1
+asttokens==3.0.0
 async-lru==2.0.4
-async-timeout==4.0.3 ; python_full_version < '3.11'
+async-timeout==5.0.1 ; python_full_version < '3.11'
 atpublic==5.0
-attrs==24.2.0
+attrs==24.3.0
 babel==2.16.0
 beartype==0.19.0
 beautifulsoup4==4.12.3
@@ -28,92 +28,92 @@ bitarray==3.0.0
 black==24.10.0
 bleach==6.2.0
 cachetools==5.5.0
-certifi==2024.8.30
+certifi==2024.12.14
 cffi==1.17.1
 cfgv==3.4.0
 chardet==5.2.0
 charset-normalizer==3.4.0
-click==8.1.7
-clickhouse-connect==0.8.6
+click==8.1.8
+clickhouse-connect==0.8.11
 cloudpickle==3.1.0
 codespell==2.3.0
 colorama==0.4.6
 comm==0.2.2
-contourpy==1.3.0
-coverage==7.6.4
-cryptography==43.0.3
+contourpy==1.3.1
+coverage==7.6.9
+cryptography==44.0.0
 cycler==0.12.1
 databricks-sql-connector-core==4.0.1
-datafusion==42.0.0
-db-dtypes==1.3.0
-debugpy==1.8.8
+datafusion==43.1.0
+db-dtypes==1.3.1
+debugpy==1.8.11
 decorator==5.1.1
 defusedxml==0.7.1
-deltalake==0.21.0
+deltalake==0.22.3
 distlib==0.3.9
 doit==0.36.0
 duckdb==1.1.3
-dunamai==1.22.0
+dunamai==1.23.0
 et-xmlfile==2.0.0
 exceptiongroup==1.2.2 ; python_full_version < '3.11'
 execnet==2.1.1
 executing==2.1.0
-fastjsonschema==2.20.0
+fastjsonschema==2.21.1
 filelock==3.16.1
-fonttools==4.54.1
+fonttools==4.55.3
 fqdn==1.5.1
 frozenlist==1.5.0
-fsspec==2024.10.0
-gcsfs==2024.10.0
+fsspec==2024.12.0
+gcsfs==2024.12.0
 geoarrow-types==0.2.0
 geopandas==1.0.1
-google-api-core==2.22.0
-google-auth==2.36.0
+google-api-core==2.24.0
+google-auth==2.37.0
 google-auth-oauthlib==1.2.1
-google-cloud-bigquery==3.26.0
+google-cloud-bigquery==3.27.0
 google-cloud-bigquery-storage==2.27.0
 google-cloud-core==2.4.1
-google-cloud-storage==2.18.2
+google-cloud-storage==2.19.0
 google-crc32c==1.6.0
 google-resumable-media==2.7.2
-googleapis-common-protos==1.65.0
+googleapis-common-protos==1.66.0
 graphviz==0.20.3
 greenlet==3.1.1 ; (python_full_version < '3.13' and platform_machine == 'AMD64') or (python_full_version < '3.13' and platform_machine == 'WIN32') or (python_full_version < '3.13' and platform_machine == 'aarch64') or (python_full_version < '3.13' and platform_machine == 'amd64') or (python_full_version < '3.13' and platform_machine == 'ppc64le') or (python_full_version < '3.13' and platform_machine == 'win32') or (python_full_version < '3.13' and platform_machine == 'x86_64')
 griffe==0.49.0
-grpcio==1.67.1
-grpcio-status==1.67.1
+grpcio==1.68.1
+grpcio-status==1.68.1
 h11==0.14.0
-httpcore==1.0.6
-httpx==0.27.2
+httpcore==1.0.7
+httpx==0.28.1
 humanize==4.11.0
-hypothesis==6.118.7
-identify==2.6.2
+hypothesis==6.123.0
+identify==2.6.3
 idna==3.10
 importlib-metadata==8.5.0
 importlib-resources==6.4.5
 impyla==0.19.0
 iniconfig==2.0.0
 ipykernel==6.29.5
-ipython==8.29.0
+ipython==8.31.0
 ipywidgets==8.1.5
 isoduration==20.11.0
-itables==2.2.3
+itables==2.2.4
 jedi==0.19.2
-jinja2==3.1.4
+jinja2==3.1.5
 joblib==1.4.2
-json5==0.9.27
+json5==0.10.0
 jsonpointer==3.0.0
 jsonschema==4.23.0
 jsonschema-specifications==2024.10.1
-jupyter-cache==1.0.0
+jupyter-cache==1.0.1
 jupyter-client==8.6.3
 jupyter-core==5.7.2
-jupyter-events==0.10.0
+jupyter-events==0.11.0
 jupyter-lsp==2.2.5
-jupyter-server==2.14.2
+jupyter-server==2.15.0
 jupyter-server-terminals==0.5.3
-jupyterlab==4.3.0
-jupyterlab-night==0.4.6
+jupyterlab==4.3.4
+jupyterlab-night==0.5.1
 jupyterlab-pygments==0.3.0
 jupyterlab-server==2.27.3
 jupyterlab-widgets==3.0.13
@@ -122,28 +122,28 @@ jupyterlite-pyodide-kernel==0.3.2
 kiwisolver==1.4.7
 lonboard==0.10.3
 lz4==4.3.3
-mako==1.3.6
+mako==1.3.8
 markdown-it-py==3.0.0
 markupsafe==3.0.2
-matplotlib==3.9.2
+matplotlib==3.10.0
 matplotlib-inline==0.1.7
 mdurl==0.1.2
 mistune==3.0.2
-mizani==0.13.0
+mizani==0.13.1
 multidict==6.1.0
 mypy-extensions==1.0.0
-mysqlclient==2.2.5
-narwhals==1.13.3
-nbclient==0.10.0
+mysqlclient==2.2.6
+narwhals==1.19.1
+nbclient==0.10.2
 nbconvert==7.16.4
 nbformat==5.10.4
 nest-asyncio==1.6.0
 nodeenv==1.9.1
 notebook-shim==0.2.4
-numpy==2.1.3
+numpy==2.2.1
 oauthlib==3.2.2
 openpyxl==3.1.5
-oracledb==2.5.0
+oracledb==2.5.1
 overrides==7.7.0
 packaging==24.2
 pandas==2.2.3
@@ -151,25 +151,25 @@ pandocfilters==1.5.1
 parso==0.8.4
 parsy==2.1
 pathspec==0.12.1
-patsy==0.5.6
+patsy==1.0.1
 pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
 pillow==11.0.0
-pins==0.8.6
-pkginfo==1.11.2
+pins==0.8.7
+pkginfo==1.12.0
 platformdirs==4.3.6
 plotly==5.24.1
-plotnine==0.14.1
+plotnine==0.14.4
 pluggy==1.5.0
-plum-dispatch==2.5.2
-polars==1.12.0
+plum-dispatch==2.5.4
+polars==1.17.1
 pprintpp==0.4.0
 pre-commit==4.0.1
-prometheus-client==0.21.0
+prometheus-client==0.21.1
 prompt-toolkit==3.0.48
-propcache==0.2.0
+propcache==0.2.1
 proto-plus==1.25.0
-protobuf==5.28.3
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+protobuf==5.29.2
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 psycopg2==2.9.10
 psygnal==0.11.1
 ptyprocess==0.7.0 ; os_name != 'nt' or (sys_platform != 'emscripten' and sys_platform != 'win32')
@@ -177,26 +177,26 @@ pure-eval==0.2.3
 pure-sasl==0.6.2
 py-cpuinfo==9.0.0
 py4j==0.10.9.7
-pyarrow==18.0.0
+pyarrow==18.1.0
 pyarrow-hotfix==0.6
 pyasn1==0.6.1
 pyasn1-modules==0.4.1
 pycparser==2.22
-pydantic==2.9.2
-pydantic-core==2.23.4
-pydata-google-auth==1.8.2
+pydantic==2.10.4
+pydantic-core==2.27.2
+pydata-google-auth==1.9.0
 pydruid==0.6.9
 pyexasol==0.27.0
 pygments==2.18.0
 pyinstrument==5.0.0
-pyjwt==2.9.0
+pyjwt==2.10.1
 pyodbc==5.2.0
 pyogrio==0.10.0
-pyopenssl==24.2.1
+pyopenssl==24.3.0
 pyparsing==3.2.0
 pyproj==3.7.0
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-pytest==8.3.3
+pyspark==3.5.4
+pytest==8.3.4
 pytest-benchmark==5.1.0
 pytest-clarity==1.0.1
 pytest-cov==6.0.0
@@ -209,7 +209,7 @@ pytest-snapshot==0.9.0
 pytest-timeout==2.3.1
 pytest-xdist==3.6.1
 python-dateutil==2.9.0.post0
-python-json-logger==2.0.7
+python-json-logger==3.2.1
 pytz==2024.2
 pywin32==308 ; platform_python_implementation != 'PyPy' and sys_platform == 'win32'
 pywinpty==2.0.14 ; os_name == 'nt'
@@ -223,23 +223,23 @@ requests-oauthlib==2.0.0
 rfc3339-validator==0.1.4
 rfc3986-validator==0.1.1
 rich==13.9.4
-rpds-py==0.21.0
+rpds-py==0.22.3
 rsa==4.9
-ruff==0.7.3
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+ruff==0.8.4
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 scipy==1.14.1
 seaborn==0.13.2
 send2trash==1.8.3
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 shapely==2.0.6
-six==1.16.0
+six==1.17.0
 sniffio==1.3.1
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+snowflake-connector-python==3.12.4
 sortedcontainers==2.4.0
 soupsieve==2.6
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+sphobjinv==2.3.1.2
 sqlalchemy==2.0.36
-sqlglot==25.29.0
+sqlglot==26.0.1
 stack-data==0.6.3
 statsmodels==0.14.4
 tabulate==0.9.0
@@ -249,20 +249,20 @@ threadpoolctl==3.5.0
 thrift==0.16.0
 thrift-sasl==0.4.3
 tinycss2==1.4.0
-tomli==2.0.2
+tomli==2.2.1
 tomlkit==0.13.2
 toolz==1.0.0
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-tqdm==4.67.0
+tornado==6.4.2
+tqdm==4.67.1
 traitlets==5.14.3
-trino==0.330.0
-types-python-dateutil==2.9.0.20241003
+trino==0.331.0
+types-python-dateutil==2.9.0.20241206
 typing-extensions==4.12.2
 tzdata==2024.2
 tzlocal==5.2
 uri-template==1.3.0
-urllib3==2.2.3
-virtualenv==20.27.1
+urllib3==2.3.0
+virtualenv==20.28.0
 watchdog==6.0.0
 wcwidth==0.2.13
 webcolors==24.11.1
@@ -271,6 +271,6 @@ websocket-client==1.8.0
 werkzeug==3.1.3
 widgetsnbextension==4.0.13
 xxhash==3.5.0
-yarl==1.17.1
+yarl==1.18.3
 zipp==3.21.0
 zstandard==0.23.0
diff --git a/uv.lock b/uv.lock
index ab8d2b1e9b646..c6a19f590dfd6 100644
--- a/uv.lock
+++ b/uv.lock
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 [[package]]
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-version = "3.10.10"
+version = "3.11.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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@@ -27,82 +27,83 @@ dependencies = [
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     { name = "frozenlist" },
     { name = "multidict" },
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