As of April 20th, 2026, BigLake is now called Google Cloud 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.
Introduction to Lakehouse Iceberg REST catalog tables
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Lakehouse Iceberg REST catalog tables are Apache Iceberg tables that you
create from open source engines and store in Cloud Storage. Like all tables that
use the Lakehouse runtime catalog, open source engines and
BigQuery can read them. However, only open source engines can
write to them.
Key features
Key features of Lakehouse Iceberg REST catalog tables include:
Metastore: Lakehouse runtime catalog.
Storage: Cloud Storage.
Storage optimization: Customer or third-party managed.
Read and write access:
Open source engines: Read/write.
BigQuery: Read-only.
Use cases: Open lakehouse with high-performance, enterprise-grade
storage for advanced analytics, streaming, and AI.
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