Databricks releases, every cloud
- Lakebase Search is generally available
Adds scalable vector and keyword search to Lakebase projects via Postgres extensions.
- Lakebase Postgres APIs are now generally available
Supports operations for projects, branches, and databases through REST API, CLI, and SDKs.
- Databricks connector for Power Platform is generally available
Connects Databricks to Power Platform services like Power BI and Power Apps. Requires Databricks account and Power Platform license.
- AUTO CDC flows for streaming tables in Databricks SQL are generally available
Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available
Requires Databricks Runtime 17.3 and above. Available in Databricks SQL.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL alerts are now generally available
Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Lakebase is now generally available with compliance security profile
Requires HIPAA, C5, TISAX, or None compliance standard.
AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP, read it on their docs - Lakebase is now generally available on Azure
Adds autoscaling compute and scale-to-zero to 11 new Azure regions.
- Lakebase is now generally available
Includes autoscaling and point-in-time recovery.
- Azure Databricks connector in Microsoft Power Platform is now GA
Replaces beta version, requires Azure Databricks account.
- New SQL editor is generally available
Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.