## Connect query engine

URL: https://docs.atlan.com/platform/lakehouse/connect-query-engines

> Get your Lakehouse connection details and connect your preferred Iceberg REST–compatible client

The Atlan Lakehouse makes all of the context about your data estate and Atlan tenant available through the [Iceberg REST catalog](https://iceberg.apache.org/concepts/catalog/#decoupling-using-the-rest-catalog), so you can query it with any Iceberg REST–compatible client.

## Get connection details

You can connect any Iceberg REST–compatible client using the connection details provided in the Atlan UI. Here's how to find them:

1. In your Atlan workspace, click **Connectors** from the left menu.
 * If you are using the **Old UI (Classic)**, from the left menu, click **Workflows**.
2. Open the **Marketplace** tab.

3. Select the **Atlan Lakehouse** tile. You can also search the Marketplace for **Atlan Lakehouse**.

4. Select **View connection details**.

5. Copy the values your engine needs — typically the **catalog URI**, **catalog name**, **OAuth client ID**, and **OAuth client secret**, plus any engine-specific values such as a **reader role** or **region**.

## Connect your query engine

Below, popular engines have published setup guides. The same connection details work with any other Iceberg REST–compatible client (for example, PyIceberg, Trino, or DuckDB).

 - [Snowflake](https://docs.atlan.com/llms/governance/lakehouse/connect-snowflake/llms.txt): Connect Snowflake to Lakehouse using a catalog-linked database and query Atlan metadata using standard SQL.

 - [Amazon Athena](https://docs.atlan.com/llms/governance/lakehouse/connect-athena/llms.txt): Connect Amazon Athena to Lakehouse using the Iceberg REST catalog and query Atlan metadata from your AWS environment.

 - [PySpark](https://docs.atlan.com/llms/governance/lakehouse/connect-pyspark/llms.txt): Connect PySpark to Lakehouse through the Iceberg REST catalog with Polaris credential vending, and query Atlan metadata from a Spark environment.

 - [Google BigQuery](https://docs.atlan.com/llms/governance/lakehouse/connect-bigquery/llms.txt): Connect BigQuery to Lakehouse using external Iceberg tables pointing to Atlan Lakehouse metadata files stored in GCS.

 - [Databricks](https://docs.atlan.com/llms/governance/lakehouse/connect-databricks/llms.txt): Connect Databricks to Lakehouse using foreign Iceberg tables in Unity Catalog pointing to Atlan Lakehouse metadata files stored in S3 or ADLS.

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