Get started

Atlan provides connection credentials through the Lakehouse Marketplace, which you use to configure your preferred query engine. Each engine—Snowflake, BigQuery, Athena, PySpark, or Databricks—has a specific setup process tailored to how it accesses Iceberg REST catalogs.

Get connection details

1. In your Atlan workspace, navigate to Workflow in the left-hand navigation bar.

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 catalog URI, catalog name, OAuth client ID, and OAuth client secret. You'll plug these into your query engine.

Connect your query engine

❄️

Snowflake

Catalog integration

Connect Snowflake to Lakehouse using a catalog-linked database and query Atlan metadata using standard SQL.

☁️

Amazon Athena

REST catalog

Connect Amazon Athena to Lakehouse using the Iceberg REST catalog and query Atlan metadata from your AWS environment.

⚡

PySpark

REST catalog

Connect PySpark to Lakehouse through the Iceberg REST catalog with Polaris credential vending, and query Atlan metadata from a Spark environment.

🔷

Google BigQuery

External tables

Connect BigQuery to Lakehouse using external Iceberg tables pointing to Atlan Lakehouse metadata files stored in GCS.

🧱

Databricks

Foreign tables

Connect Databricks to Lakehouse using foreign Iceberg tables in Unity Catalog pointing to Atlan Lakehouse metadata files stored in S3 or ADLS.

🤖

AI agents

Natural language

Install the atlan-lakehouse skill in Claude Code or another AI agent to query Lakehouse using natural language.