Databricks Lakebase Postgres 正式上线 Google Cloud

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.

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.

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

Serverless autoscaling and scale to zero: Compute adjusts to match traffic and shuts off when idle, so you aren't paying for capacity you don't use.
Instant branching: Create isolated, zero-copy branches of production data in seconds to test changes safely.
Point-in-time recovery (PITR): Restore your database to a specific moment to recover from bugs or accidental deletions.
Standard Postgres: Use the tools, drivers, and extensions you already know, including built-in search engine (pgvector-compatible) for AI-driven search.
Unified governance with Unity Catalog: Apply consistent access control, lineage, and auditing across operational, analytical, and AI data.

"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!

Built on the trust and scale of Google Cloud

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

Enterprise-grade availability: Multi-zone high-availability endpoints with automatic failover are backed by a 99.99% SLA, and single-zone endpoints by a 99.9% SLA.
Private connectivity (Beta): Enterprise customers can keep database traffic off the public internet with Google Cloud Private Service Connect, connecting applications in their own VPC directly to Lakebase.
Unified identity and access: Users and service principals authenticate with Databricks OAuth or native Postgres credentials, and access is governed centrally in Unity Catalog.
Scalable search in Postgres: Combine vector and full-text search directly in Lakebase Postgres for 2x throughput than pgvector at 4x lower cost (no second system, no sync pipelines) with Lakebase Search.
Optimize data ingestion: Direct writes allows you to push enriched lakehouse data into Lakebase Postgres without slowing down your app. Testing shows loading 1TB of data takes less than five minutes.

Get started with Lakebase Postgres on Google Cloud

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:

asia-southeast1
europe-west3
us-central1
us-east4
us-west1

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

New to Databricks? Get started for free here.