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Lakebase Postgres is now generally available on Google Cloud

Databricks announced that Lakebase Postgres is now generally available on Google Cloud, letting teams run production-grade, serverless Postgres directly on the Databricks Data + AI Platform. Lakebase separates compute from storage and shares the same storage layer as analytical data, which Databricks says eliminates ETL pipelines, duplicate storage and separate access controls while lowering total cost of ownership. KaBuM! Data and AI Manager Pablo Henrique de Freitas said the company selected Lakebase Postgres as the default memory layer for its AI agents because it delivers the low-latency reads and writes its conversational AI requires.

by read2 min views1 publishedNov 2, 2026
Lakebase Postgres is now generally available on Google Cloud
Image: Databricks Blog

Power agentic and mission-critical workloads on Google Cloud with fully-managed, serverless Postgres.

Today, 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.

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.

Lakebase Postgres on Google Cloud delivers the capabilities for teams to ship faster:

"We selected Lakebase Postgres as the default memory layer for AI agents at KaBuM! because it delivers low-latency reads and writes that our conversational AI requires for a seamless customer experience. With Lakebase on Google Cloud, our AI engineers have a fast, reliable foundation that’s fully integrated into our data platform."- Pablo Henrique de Freitas, Data and AI Manager, KaBuM!

In addition to allowing teams to build faster, Lakebase Postgres on Google Cloud delivers the scale, reliability and security production workloads demand:

Lakebase Postgres on Google Cloud gives you a production-ready foundation for the next generation of apps and AI agents, with no infrastructure to manage and no pipelines to maintain. As of GA, it is available in the following regions:

Create your first Lakebase project from your Databricks workspace on Google Cloud, connect with your existing Postgres tools, and start building in minutes.

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