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4 changes: 4 additions & 0 deletions docs/integrations/data-ingestion/apache-spark/spark-jdbc.md
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Expand Up @@ -11,8 +11,12 @@ doc_type: 'guide'
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
import TOCInline from '@theme/TOCInline';
import ClickHouseSupportedBadge from '@theme/badges/ClickHouseSupported';

# Spark JDBC

<ClickHouseSupportedBadge/>

JDBC is one of the most commonly used data sources in Spark.
In this section, we will provide details on how to
use the [ClickHouse official JDBC connector](/integrations/language-clients/java/jdbc) with Spark.
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3 changes: 3 additions & 0 deletions docs/integrations/data-ingestion/aws-glue/index.md
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Expand Up @@ -13,9 +13,12 @@ import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
import notebook_connections_config from '@site/static/images/integrations/data-ingestion/aws-glue/notebook-connections-config.png';
import dependent_jars_path_option from '@site/static/images/integrations/data-ingestion/aws-glue/dependent_jars_path_option.png';
import ClickHouseSupportedBadge from '@theme/badges/ClickHouseSupported';

# Integrating Amazon Glue with ClickHouse and Spark

<ClickHouseSupportedBadge/>

[Amazon Glue](https://aws.amazon.com/glue/) is a fully managed, serverless data integration service provided by Amazon Web Services (AWS). It simplifies the process of discovering, preparing, and transforming data for analytics, machine learning, and application development.

## Installation {#installation}
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Expand Up @@ -7,8 +7,12 @@ title: 'Bringing Azure Data into ClickHouse'
doc_type: 'guide'
---

import ClickHouseSupportedBadge from '@theme/badges/ClickHouseSupported';

# Bringing Azure Data into ClickHouse

<ClickHouseSupportedBadge/>

Microsoft Azure offers a wide range of tools to store, transform, and analyze
data. However, in many scenarios, ClickHouse can provide significantly better
performance for low-latency querying and processing of huge datasets. In
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Expand Up @@ -8,7 +8,6 @@ doc_type: 'guide'
---

import Image from '@theme/IdealImage';

import azureDataStoreSettings from '@site/static/images/integrations/data-ingestion/azure-data-factory/azure-data-store-settings.png';
import azureDataStoreAccessKeys from '@site/static/images/integrations/data-ingestion/azure-data-factory/azure-data-store-access-keys.png';

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3 changes: 3 additions & 0 deletions docs/integrations/data-ingestion/azure-synapse/index.md
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Expand Up @@ -11,9 +11,12 @@ import TOCInline from '@theme/TOCInline';
import Image from '@theme/IdealImage';
import sparkConfigViaNotebook from '@site/static/images/integrations/data-ingestion/azure-synapse/spark_notebook_conf.png';
import sparkUICHSettings from '@site/static/images/integrations/data-ingestion/azure-synapse/spark_ui_ch_settings.png';
import ClickHouseSupportedBadge from '@theme/badges/ClickHouseSupported';

# Integrating Azure Synapse with ClickHouse

<ClickHouseSupportedBadge/>

[Azure Synapse](https://azure.microsoft.com/en-us/products/synapse-analytics) is an integrated analytics service that combines big data, data science and warehousing to enable fast, large-scale data analysis.
Within Synapse, Spark pools provide on-demand, scalable [Apache Spark](https://spark.apache.org) clusters that let users run complex data transformations, machine learning, and integrations with external systems.

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@@ -0,0 +1,5 @@
{
"label": "Third-party",
"collapsible": true,
"collapsed": true,
}
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Expand Up @@ -24,7 +24,7 @@ import ConnectionDetails from '@site/docs/_snippets/_gather_your_details_http.md
This guide assumes you already have a Deepnote account and that you have a running ClickHouse instance.

## Interactive example {#interactive-example}
If you would like to explore an interactive example of querying ClickHouse from Deepnote data notebooks, click the button below to launch a template project connected to the [ClickHouse playground](../../getting-started/playground.md).
If you would like to explore an interactive example of querying ClickHouse from Deepnote data notebooks, click the button below to launch a template project connected to the [ClickHouse playground](../../../getting-started/playground.md).

[<Image size="logo" img="https://deepnote.com/buttons/launch-in-deepnote.svg" alt="Launch in Deepnote" />](https://deepnote.com/launch?template=ClickHouse%20and%20Deepnote)

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50 changes: 25 additions & 25 deletions docs/integrations/data-visualization/index.md
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Expand Up @@ -26,50 +26,50 @@ doc_type: 'guide'
Now that your data is in ClickHouse, it's time to analyze it, which often involves building visualizations using a BI tool. Many of the popular BI and visualization tools connect to ClickHouse. Some connect to ClickHouse out-of-the-box, while others require a connector to be installed. We have docs for some of the tools, including:

- [Apache Superset](./superset-and-clickhouse.md)
- [Astrato](./astrato-and-clickhouse.md)
- [Chartbrew](./chartbrew-and-clickhouse.md)
- [Deepnote](./deepnote.md)
- [Dot](./dot-and-clickhouse.md)
- [Draxlr](./draxlr-and-clickhouse.md)
- [Embeddable](./embeddable-and-clickhouse.md)
- [Explo](./explo-and-clickhouse.md)
- [Fabi.ai](./fabi-and-clickhouse.md)
- [Astrato](./community_integrations/astrato-and-clickhouse.md)
- [Chartbrew](./community_integrations/chartbrew-and-clickhouse.md)
- [Deepnote](./community_integrations/deepnote.md)
- [Dot](./community_integrations/dot-and-clickhouse.md)
- [Draxlr](./community_integrations/draxlr-and-clickhouse.md)
- [Embeddable](./community_integrations/embeddable-and-clickhouse.md)
- [Explo](./community_integrations/explo-and-clickhouse.md)
- [Fabi.ai](./community_integrations/fabi-and-clickhouse.md)
- [Grafana](./grafana/index.md)
- [Looker](./looker-and-clickhouse.md)
- [Luzmo](./luzmo-and-clickhouse.md)
- [Luzmo](./community_integrations/luzmo-and-clickhouse.md)
- [Metabase](./metabase-and-clickhouse.md)
- [Mitzu](./mitzu-and-clickhouse.md)
- [Mitzu](./community_integrations/mitzu-and-clickhouse.md)
- [Omni](./omni-and-clickhouse.md)
- [Rill](https://docs.rilldata.com/reference/olap-engines/clickhouse)
- [Rocket BI](./rocketbi-and-clickhouse.md)
- [Rocket BI](./community_integrations/rocketbi-and-clickhouse.md)
- [Tableau](./tableau/tableau-and-clickhouse.md)
- [Zing Data](./zingdata-and-clickhouse.md)
- [Zing Data](./community_integrations/zingdata-and-clickhouse.md)

## ClickHouse Cloud compatibility with data visualization tools {#clickhouse-cloud-compatibility-with-data-visualization-tools}

| Tool | Supported via | Tested | Documented | Comment |
|-------------------------------------------------------------------------|-------------------------------|--------|------------|-----------------------------------------------------------------------------------------------------------------------------------------|
| [Apache Superset](./superset-and-clickhouse.md) | ClickHouse official connector | ✅ | ✅ | |
| [Astrato](./astrato-and-clickhouse.md) | Native connector | ✅ | ✅ | Works natively using pushdown SQL (direct query only). |
| [Astrato](./community_integrations/astrato-and-clickhouse.md) | Native connector | ✅ | ✅ | Works natively using pushdown SQL (direct query only). |
| [AWS QuickSight](./quicksight-and-clickhouse.md) | MySQL interface | ✅ | ✅ | Works with some limitations, see [the documentation](./quicksight-and-clickhouse.md) for more details |
| [Chartbrew](./chartbrew-and-clickhouse.md) | ClickHouse official connector | ✅ | ✅ | |
| [Deepnote](./deepnote.md) | Native connector | ✅ | ✅ | |
| [Dot](./dot-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Explo](./explo-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Fabi.ai](./fabi-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Chartbrew](./community_integrations/chartbrew-and-clickhouse.md) | ClickHouse official connector | ✅ | ✅ | |
| [Deepnote](./community_integrations/deepnote.md) | Native connector | ✅ | ✅ | |
| [Dot](./community_integrations/dot-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Explo](./community_integrations/explo-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Fabi.ai](./community_integrations/fabi-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Grafana](./grafana/index.md) | ClickHouse official connector | ✅ | ✅ | |
| [Hashboard](./hashboard-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Hashboard](./community_integrations/hashboard-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Looker](./looker-and-clickhouse.md) | Native connector | ✅ | ✅ | Works with some limitations, see [the documentation](./looker-and-clickhouse.md) for more details |
| Looker | MySQL interface | 🚧 | ❌ | |
| [Luzmo](./luzmo-and-clickhouse.md) | ClickHouse official connector | ✅ | ✅ | |
| [Luzmo](./community_integrations/luzmo-and-clickhouse.md) | ClickHouse official connector | ✅ | ✅ | |
| [Looker Studio](./looker-studio-and-clickhouse.md) | MySQL interface | ✅ | ✅ | |
| [Metabase](./metabase-and-clickhouse.md) | ClickHouse official connector | ✅ | ✅ |
| [Mitzu](./mitzu-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Metabase](./metabase-and-clickhouse.md) | ClickHouse official connector | ✅ | ✅ |
| [Mitzu](./community_integrations/mitzu-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Omni](./omni-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Power BI Desktop](./powerbi-and-clickhouse.md) | ClickHouse official connector | ✅ | ✅ | Via ODBC, supports direct query mode |
| [Power BI service](/integrations/powerbi#power-bi-service) | ClickHouse official connector | ✅ | ✅ | A [Microsoft Data Gateway](https://learn.microsoft.com/en-us/power-bi/connect-data/service-gateway-custom-connectors) setup is required |
| [Rill](https://docs.rilldata.com/reference/olap-engines/clickhouse) | Native connector | ✅ | ✅ |
| [Rocket BI](./rocketbi-and-clickhouse.md) | Native connector | ✅ | ❌ | |
| [Rill](https://docs.rilldata.com/reference/olap-engines/clickhouse) | Native connector | ✅ | ✅ |
| [Rocket BI](./community_integrations/rocketbi-and-clickhouse.md) | Native connector | ✅ | ❌ | |
| [Tableau Desktop](./tableau/tableau-and-clickhouse.md) | ClickHouse official connector | ✅ | ✅ | |
| [Tableau Online](./tableau/tableau-online-and-clickhouse.md) | MySQL interface | ✅ | ✅ | Works with some limitations, see [the documentation](./tableau/tableau-online-and-clickhouse.md) for more details |
| [Zing Data](./zingdata-and-clickhouse.md) | Native connector | ✅ | ✅ | |
| [Zing Data](./community_integrations/zingdata-and-clickhouse.md) | Native connector | ✅ | ✅ | |
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Expand Up @@ -13,11 +13,11 @@ import looker_01 from '@site/static/images/integrations/data-visualization/looke
import looker_02 from '@site/static/images/integrations/data-visualization/looker_02.png';
import looker_03 from '@site/static/images/integrations/data-visualization/looker_03.png';
import looker_04 from '@site/static/images/integrations/data-visualization/looker_04.png';
import CommunityMaintainedBadge from '@theme/badges/CommunityMaintained';
import PartnerBadge from '@theme/badges/PartnerBadge';

# Looker

<CommunityMaintainedBadge/>
<PartnerBadge/>

Looker can connect to ClickHouse Cloud or on-premise deployment via the official ClickHouse data source.

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Expand Up @@ -18,11 +18,11 @@ import looker_studio_05 from '@site/static/images/integrations/data-visualizatio
import looker_studio_06 from '@site/static/images/integrations/data-visualization/looker_studio_06.png';
import looker_studio_enable_mysql from '@site/static/images/integrations/data-visualization/looker_studio_enable_mysql.png';
import looker_studio_mysql_cloud from '@site/static/images/integrations/data-visualization/looker_studio_mysql_cloud.png';
import CommunityMaintainedBadge from '@theme/badges/CommunityMaintained';
import PartnerBadge from '@theme/badges/PartnerBadge';

# Looker Studio

<CommunityMaintainedBadge/>
<PartnerBadge/>

Looker Studio can connect to ClickHouse via the MySQL interface using the official Google MySQL data source.

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Expand Up @@ -18,11 +18,11 @@ import metabase_04 from '@site/static/images/integrations/data-visualization/met
import metabase_06 from '@site/static/images/integrations/data-visualization/metabase_06.png';
import metabase_07 from '@site/static/images/integrations/data-visualization/metabase_07.png';
import metabase_08 from '@site/static/images/integrations/data-visualization/metabase_08.png';
import CommunityMaintainedBadge from '@theme/badges/CommunityMaintained';
import PartnerBadge from '@theme/badges/PartnerBadge';

# Connecting Metabase to ClickHouse

<CommunityMaintainedBadge/>
<PartnerBadge/>

Metabase is an easy-to-use, open source UI tool for asking questions about your data. Metabase is a Java application that can be run by simply <a href="https://www.metabase.com/start/oss/jar" target="_blank">downloading the JAR file</a> and running it with `java -jar metabase.jar`. Metabase connects to ClickHouse using a JDBC driver that you download and put in the `plugins` folder:

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4 changes: 2 additions & 2 deletions docs/integrations/data-visualization/omni-and-clickhouse.md
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Expand Up @@ -11,11 +11,11 @@ import ConnectionDetails from '@site/docs/_snippets/_gather_your_details_http.md
import Image from '@theme/IdealImage';
import omni_01 from '@site/static/images/integrations/data-visualization/omni_01.png';
import omni_02 from '@site/static/images/integrations/data-visualization/omni_02.png';
import CommunityMaintainedBadge from '@theme/badges/CommunityMaintained';
import PartnerBadge from '@theme/badges/PartnerBadge';

# Omni

<CommunityMaintainedBadge/>
<PartnerBadge/>

Omni can connect to ClickHouse Cloud or on-premise deployment via the official ClickHouse data source.

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Expand Up @@ -16,11 +16,11 @@ import quicksight_04 from '@site/static/images/integrations/data-visualization/q
import quicksight_05 from '@site/static/images/integrations/data-visualization/quicksight_05.png';
import quicksight_06 from '@site/static/images/integrations/data-visualization/quicksight_06.png';
import quicksight_07 from '@site/static/images/integrations/data-visualization/quicksight_07.png';
import CommunityMaintainedBadge from '@theme/badges/CommunityMaintained';
import ClickHouseSupportedBadge from '@theme/badges/ClickHouseSupported';

# QuickSight

<CommunityMaintainedBadge/>
<ClickHouseSupportedBadge/>

QuickSight can connect to on-premise ClickHouse setup (23.11+) via MySQL interface using the official MySQL data source and Direct Query mode.

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