Databricks has made Lakebase Postgres generally available on Google Cloud, bringing its managed, serverless transactional database to customers running analytics and AI workloads on the Databricks platform.
Lakebase separates compute from storage and can scale compute capacity to match demand, including scaling to zero when idle. Developers can create isolated, zero-copy branches of production databases to test changes and use point-in-time recovery to restore data after an accidental deletion or other error.
Lakebase shares a storage foundation with analytical data on Databricks. Customers can use Unity Catalog to apply access controls and track lineage and audit activity across operational, analytical, and AI workloads.
The service is generally available in five Google Cloud regions. Databricks says its multi-zone endpoints support automatic failover and are backed by a 99.99% service-level agreement. Private connectivity through Google Cloud Private Service Connect remains in beta.
Visit Databricks for more information.