Databricks releases, every cloud
- Python UDTFs in Unity Catalog are now generally available
Runs on serverless compute, classic compute, and SQL warehouses. Requires Databricks Runtime 18.
- Automated setup for S3 external locations
Uses AWS IAM temporary delegation to configure external locations and provision required resources.
- Data Classification is now available by default for additional compliance standards
Requires compliance security profile with C5, TISAX, or IRAP controls.
- Data Classification is now available by default for some workspaces with the compliance security profile enabled
Requires compliance security profile and specific controls like HIPAA or HITRUST.
- External lineage is now generally available
Registers external assets like Salesforce or MySQL sources and Tableau dashboards. Automatically records source lineage for Lakeflow Connect pipelines.
- Column popularity is now available in the Catalog Explorer
Shows column query count in the Overview tab, determined by read queries.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Unity Catalog managed Apache Iceberg tables, foreign Apache Iceberg tables, and Apache Iceberg v3 features are generally available
Supports liquid clustering, predictive optimization, and materialized views. Requires Databricks Runtime or external Iceberg-compatible engines.
- View run history for scheduled refreshes in Google Sheets
Shows Run ID, start time, and success status for each run.
- Catalog commits are now generally available
Enables multi-statement transactions on Unity Catalog managed Delta tables, supported by products like MLflow and Delta Sharing.
- Governed tags are generally available
Allow administrators to define controlled tags for Unity Catalog and workspace objects, enforcing consistent metadata tagging.
- ABAC policy functions now use snake_case naming
Replaces camelCase with snake_case, old forms still work but will be deprecated.
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.