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.
Lakehouse documentation
Borderless Lakehouse is a storage engine for unifying data warehouses and lakes. It enables access to open formats like Apache Iceberg, Apache Parquet, and ORC through a single copy of data without movement or duplication.
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Documentation resources
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Guides
Related resources
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Training
Training and tutorials
Query Apache Iceberg tables with Lakehouse
Learn how to use the Lakehouse runtime catalog with Apache Spark and Apache Iceberg.
30 minutes
introductory
Free
Use case
Use cases
Unify data warehouses and lakes
Use Lakehouse to unify your data silos and enable consistent security and performance across different analytics engines.
Use case
Use cases
Enable fine-grained access control
Implement row- and column-level security for data stored in open formats in Cloud Storage.