Databricks makes serverless Postgress service Lakebase available

"Databricks today announced the general availability of Lakebase on AWS, a new database architecture that separates compute and storage. The managed serverless Postgres service is designed to help organizations build faster without worrying about infrastructure management. When databases link compute and storage, every query must use the same CPU and memory resources. This can cause a single heavy query to affect all other operations. By separating compute and storage, resources automatically scale with the actual load."

"One notable feature is instant database branching. This allows developers to create isolated copies of production data in seconds without actually copying the underlying data. This makes it possible to test safely on realistic datasets without risking the live environment. Point-in-time recovery also offers protection against accidental deletions or bugs. Organizations can restore the database status to a specific millisecond within a configurable retention period. Automatic backups run in the background."

"Integration with Unity Catalog provides uniform access control and auditing across the entire Databricks platform. Sync tables keep operational data and historical lakehouse context synchronized without teams having to maintain fragile data pipelines. Postgres 17 and scalability up to 8TB With general availability, Lakebase now supports Postgres 17, including the latest enhancements and extensions. Postgres 16 also remains supported. Storage capacity per instance has been scaled up to 8TB, enabling larger application workloads."

Lakebase on AWS is a managed serverless Postgres that separates compute from storage so resources automatically scale with actual load and idle systems shut down completely to reduce costs. Instant database branching creates isolated copies of production data in seconds without duplicating underlying data, enabling realistic testing without risking the live environment. Point-in-time recovery restores database state to a specific millisecond within a configurable retention window while automatic backups run in the background. Integration with Unity Catalog enforces uniform access control and auditing; sync tables keep operational data and lakehouse history synchronized. Lakebase supports Postgres 17, retains Postgres 16 support, and scales instances up to 8TB while enabling apps and AI agents to run on the Databricks platform under shared governance and security.

Read at Techzine Global