lakebase-autoscale

PostgreSQL autoscaling on Databricks Lakebase dynamically adjusts compute resources between 0.5 and 112 compute units based on load. This optimizes performance and cost for OLTP workloads by automatically scaling capacity up or down.

Yes, you can create Git-like database branches on Databricks Lakebase. This enables isolated PostgreSQL development and testing environments, allowing you to test new features and merge changes to production without impacting live users.

You can reduce PostgreSQL compute costs on Databricks Lakebase using the scale-to-zero feature. It automatically suspends compute resources after periods of inactivity, significantly lowering costs for non-critical or idle workloads.

Yes, Databricks Lakebase supports reverse ETL from Delta Lake to PostgreSQL. This allows you to serve OLTP workloads by moving transformed data directly from your data lakehouse into the managed PostgreSQL database.

You manage Lakebase PostgreSQL projects, branches, and compute resources using the provided CLI and SDK. This allows programmatic control over your managed database infrastructure, including project creation and compute scaling.

Databricks Lakebase is tailored for OLTP workloads and offers scale-to-zero capabilities. While it provides instant restore and branching, its compute scaling limits range from 0.5 to 112 compute units, which may constrain extremely high-performance database demands.