We're excited to announce that Lakebase Postgres is generally available on Google Cloud. Teams building on Google Cloud can now run production-grade, serverless Postgres directly on the Databricks Data + AI Platform.

The Lakebase architecture separates compute from storage, which removes the resource conflicts and infrastructure overhead of traditional databases. It also shares the same storage layer as your analytical data which eliminates the need to build and maintain pipelines. The result is a Postgres database that scales with your application, shares one governance model with the rest of your data estate, and reduces your total cost of ownership.

Lakebase Postgres removes operational barriers, allowing teams to ship faster

For years, transactional databases and analytics platforms have been kept separate. Moving operational data into the lakehouse meant building and maintaining ETL pipelines, duplicating storage and accepting data lag. Now that AI agents act on data in real-time, that operational overhead becomes a bigger liability.

Instead with Lakebase, operational workloads run on the same platform, with the same security and governance as your analytics and AI. There is no siloed database to manage, no separate access controls to maintain and no data movement to keep in sync. Lakebase is a key component of the Lake Transactional/Analytical Processing (LTAP) architecture which allows organizations to unify their data foundation, decrease operational overhead and lower infrastructure costs.