databricks-lakebase-autoscale

To set up PostgreSQL autoscaling on Databricks, use this Skill to provision a Lakebase instance that dynamically adjusts compute resources between 0.5 and 112 compute units based on your workload demands.

Yes, you can sync data from Delta Lake to PostgreSQL using the reverse ETL functionality, which utilizes synced tables to push your lakehouse data directly into your managed OLTP PostgreSQL database.

The best way to create isolated PostgreSQL environments is by using Git-like branching capabilities, allowing you to spawn independent database branches for development and testing without provisioning new infrastructure.

Yes, Databricks Lakebase supports scale-to-zero functionality, automatically suspending your PostgreSQL compute resources after periods of inactivity to minimize operational costs during off-hours.

Point-in-time recovery for managed PostgreSQL works by enabling instant restore capabilities up to 35 days, allowing you to revert your database to a specific state to recover from data loss or corruption.

Yes, you need the Databricks SDK for Python to manage Lakebase compute, as it handles the core operations for project, branch, compute, and credential management within the autoscaling service.