diff --git a/use-timescale/integrations/apache-airflow.md b/use-timescale/integrations/apache-airflow.md
new file mode 100644
index 0000000000..19ebc9cc3a
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@@ -0,0 +1,150 @@
+---
+title: Integrate Apache Airflow with Timescale Cloud
+excerpt: How to install the psql client for PostgreSQL
+products: [cloud, mst, self_hosted]
+keywords: [connect, integrate, apache, airflow]
+---
+
+import IntegrationPrereqs from "versionContent/_partials/_integration-prereqs.mdx";
+
+# Integrate Apache Airflow with $CLOUD_LONG
+
+Apache Airflow® is a platform created by the community to programmatically author, schedule, and monitor workflows.
+
+A [DAG (Directed Acyclic Graph)][Airflow-DAG] is the core concept of Airflow, collecting [Tasks][Airflow-Task] together,
+organized with dependencies and relationships to say how they should run. You declare a DAG in a Python file
+in the `$AIRFLOW_HOME/dags` folder of your Airflow instance.
+
+This page shows you how to use a Python connector in a DAG to integrate Apache Airflow with a $SERVICE_LONG.
+
+## Prerequisites
+
+
+
+* [Install Python3 and pip3][install-python-pip]
+* [Install Apache Airflow][install-apache-airflow]
+
+ Ensure that your Airflow instance has network access to $CLOUD_LONG.
+
+This example DAG uses the `company` table you create in [Create regular PostgreSQL tables for relational data][create-a-table-in-timescale]
+
+## Install python connectivity libraries
+
+To install the Python libraries required to connect to $CLOUD_LONG:
+
+
+
+1. **Enable PostgreSQL connections between Airflow and $CLOUD_LONG**
+
+ ```bash
+ pip install psycopg2-binary
+ ```
+
+1. **Enable PostgreSQL connection types in the Airflow UI**
+
+ ```bash
+ pip install apache-airflow-providers-postgres
+ ```
+
+
+
+## Create a connection between Airflow and your $SERVICE_LONG
+
+In your Airflow instance, securely connect to your $SERVICE_LONG:
+
+
+
+1. **Run Airflow**
+
+ On your development machine, run the following command:
+
+ ```bash
+ airflow standalone
+ ```
+
+ The username and password for Airflow UI are displayed in the `standalone | Login with username`
+ line in the output.
+
+1. **Add a connection from Airflow to your $SERVICE_LONG**
+
+ 1. In your browser, navigate to `localhost:8080`, then select `Admin` > `Connections`.
+ 1. Click `+` (Add a new record), then use your [connection info][connection-info] to fill in
+ the form. The `Connection Type` is `Postgres`.
+
+
+
+## Exchange data between Airflow and your $SERVICE_LONG
+
+To exchange data between Airflow and your $SERVICE_LONG:
+
+
+
+1. **Create and execute a DAG**
+
+ To insert data in your $SERVICE_LONG from Airflow:
+ 1. In `$AIRFLOW_HOME/dags/timescale_dag.py`, add the following code:
+
+ ```python
+ from airflow import DAG
+ from airflow.operators.python_operator import PythonOperator
+ from airflow.hooks.postgres_hook import PostgresHook
+ from datetime import datetime
+
+ def insert_data_to_timescale():
+ hook = PostgresHook(postgres_conn_id='the ID of the connenction you created')
+ conn = hook.get_conn()
+ cursor = conn.cursor()
+ """
+ This could be any query. This example inserts data into the table
+ you create in:
+
+ https://docs.timescale.com/getting-started/latest/tables-hypertables/#create-regular-postgresql-tables-for-relational-data
+ """
+ cursor.execute("INSERT INTO company (symbol, name) VALUES (%s, %s)",
+ ('new_company_symbol', 'New Company Name'))
+ conn.commit()
+ cursor.close()
+ conn.close()
+
+ default_args = {
+ 'owner': 'airflow',
+ 'start_date': datetime(2023, 1, 1),
+ 'retries': 1,
+ }
+
+ dag = DAG('timescale_dag', default_args=default_args, schedule_interval='@daily')
+
+ insert_task = PythonOperator(
+ task_id='insert_data',
+ python_callable=insert_data_to_timescale,
+ dag=dag,
+ )
+ ```
+ This DAG uses the `company` table created in [Create regular PostgreSQL tables for relational data][create-a-table-in-timescale].
+
+ 1. In your browser, refresh the [Airflow UI][Airflow_UI].
+ 1. In `Search DAGS`, type `timescale_dag` and press ENTER.
+ 1. Press the play icon and trigger the DAG:
+ 
+1. **Verify that the data appears in $CLOUD_LONG**
+
+ 1. In [Timescale Console][console], navigate to your service and click `SQL editor`.
+ 1. Run a query to view your data. For example: `SELECT symbol, name FROM company;`.
+
+ You see the new rows inserted in the table.
+
+
+
+You have successfully integrated Apache Airflow with $CLOUD_LONG and created a data pipeline.
+
+
+[create-a-table-in-timescale]: /getting-started/:currentVersion:/tables-hypertables/#create-regular-postgresql-tables-for-relational-data
+[install-apache-airflow]: https://airflow.apache.org/docs/apache-airflow/stable/start.html
+[install-python-pip]: https://docs.python.org/3/using/index.html
+[console]: https://console.cloud.timescale.com/
+[create-service]: /getting-started/:currentVersion:/services/
+[enable-timescaledb]: /self-hosted/:currentVersion:/install/
+[connection-info]: /use-timescale/:currentVersion:/integrations/find-connection-details/
+[Airflow-DAG]: https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html#dags
+[Airflow-Task]:https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/tasks.html
+[Airflow_UI]: localhost:8080
diff --git a/use-timescale/integrations/index.md b/use-timescale/integrations/index.md
index 259197953a..b0140a781d 100644
--- a/use-timescale/integrations/index.md
+++ b/use-timescale/integrations/index.md
@@ -41,6 +41,15 @@ Some of the most in-demand integrations for $CLOUD_LONG are listed below, with l
|:---------------------------:|-----------------------------------------------------------------------------------------------------------------------------|
| [Terraform][terraform] | An infrastructure-as-code tool that enables you to safely and predictably provision and manage infrastructure in any cloud. |
+
+## Data engineering and extract, transform, load
+
+| Name | Description |
+|:--------------------------------:|----------------------------------------------------------|
+| [Apache Airflow][apache-airflow] | Programmatically author, schedule, and monitor workflows. |
+
+
+
[psql]: /use-timescale/:currentVersion:/integrations/psql/
[qstudio]: /use-timescale/:currentVersion:/integrations/qstudio/
[dbeaver]: /use-timescale/:currentVersion:/integrations/dbeaver/
@@ -49,4 +58,5 @@ Some of the most in-demand integrations for $CLOUD_LONG are listed below, with l
[grafana]: /use-timescale/:currentVersion:/integrations/grafana/
[tableau]: /use-timescale/:currentVersion:/integrations/tableau/
[terraform]: /use-timescale/:currentVersion:/integrations/terraform
+[apache-airflow]: /use-timescale/:currentVersion:/integrations/apache-airflow
[postgresql-integrations]: https://slashdot.org/software/p/PostgreSQL/integrations/
diff --git a/use-timescale/page-index/page-index.js b/use-timescale/page-index/page-index.js
index 653916a3b7..cba0a186ab 100644
--- a/use-timescale/page-index/page-index.js
+++ b/use-timescale/page-index/page-index.js
@@ -796,6 +796,11 @@ module.exports = [
href: "find-connection-details",
excerpt: "Learn about connecting to your Timescale database",
},
+ {
+ title: "Apache Airflow",
+ href: "apache-airflow",
+ excerpt: "Integrate Apache Airflow with Timescale Cloud",
+ },
{
title: "Azure Data Studio",
href: "azure-data-studio",