As of April 20th, 2026, BigLake is now called Lakehouse. BigLake metastore is now called the Lakehouse runtime catalog. Lakehouse APIs, client libraries, CLI commands, and IAM names remain unchanged and still reference BigLake.

Use Apache Spark with the Lakehouse runtime catalog

Apache Spark connects to borderless Lakehouse through the Lakehouse runtime catalog. This integration uses the Apache Iceberg REST catalog endpoint to provide a standard interface for discovering and managing tables.

To get started, see the following:

Set up the Lakehouse Iceberg REST catalog
Query Iceberg tables with Spark and BigQuery (Quickstart)

For configuration details, see the official Apache Iceberg Spark documentation.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2026-08-25 UTC.

Use Apache Spark with the Lakehouse runtime catalog Stay organized with collections Save and categorize content based on your preferences.

Use Apache Spark with the Lakehouse runtime catalog