Databricks announced the Databricks Lakebase is now generally available on AWS—introducing a new class of operational database that treats infrastructure as a flexible, on-demand service.
According to the company, Lakebase’s general availability delivers a fully managed, serverless Postgres service with the uptime and predictable performance needed for production applications.
By separating compute from storage, it automates configuration and resource management tasks that typically slow development. Its new architecture automatically scales to handle heavy queries, keeps apps responsive under load, and supports instant data branching so teams can safely test and develop without risking production, the company said.
Since its launch in June 2025, adoption has grown at more than twice the rate of Databricks’ data warehousing product, with thousands of companies running production workloads directly on their operational data.
Key capabilities available today include:
- Serverless autoscaling and scale to zero: Compute resources dynamically adjust to match traffic spikes and shut off completely when idle to eliminate wasted costs.
- Instant database branching: Create isolated, zero-copy clones of production data in seconds for risk-free testing and development.
- Point-in-time recovery (PITR): Protect against accidental deletions or bugs with millisecond-level restoration.
- Unified governance: Manage access control and auditing through Unity Catalog for a single security model across your entire data estate.
- Sync tables: Keep your operational data and historical lakehouse context in sync without maintaining fragile pipelines.
With Lakebase, operational workloads run directly on the Databricks Platform. Applications share the same governance, security, and data foundation already trusted for analytics and AI. There is no siloed database to manage, no separate access controls to maintain, and no data movement to keep in sync, the company said.
Lakebase’s GA release adds production-grade features for reliability, performance, and governance:
- Unified governance with Unity Catalog: Applications inherit consistent access control, auditing, and compliance across the Databricks Platform.
- Trusted foundation for AI: Governed, auditable operational data ensures autonomous AI systems act on reliable, compliant information.
- Automated backups and point-in-time recovery enable teams to restore database state to a specific millisecond within a configurable retention window, protecting against application bugs or accidental deletions.
- Increased storage capacity supports up to 8TB per instance, enabling larger application workloads.
- Postgres 17 support brings the latest Postgres improvements and extensions, including pgvector for AI-driven search, while continuing to support Postgres 16.
Together, these capabilities make Lakebase suitable for mission-critical systems with demanding reliability and performance requirements, the company said.
For more information about this news, visit www.databricks.com.