Databricks releases, every cloud Sep 2025 Jan 2026 May 2026 Sep 2026
4
releases of 1348
All time Last updated 1 hour ago
Released on
Not yet on
Product
Release AWS Azure GCP SAP Date Agentic code converter is in Beta Converts T-SQL, Snowflake, and other dialects to ANSI SQL. Requires workspace admin enablement.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs − Not on SAP Jul 16, 2026 Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon Deletes now retain associated tables by default, set cascade=true to remove them.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs − Not on SAP Apr 9, 2026 Change to use_case field in VPC endpoint API responses Coming soon Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
On AWS, read it on their docs − Not on Azure On GCP, read it on their docs · Unknown on SAP Feb 24, 2026 Configure default Python package repositories for Spark Declarative Pipelines on Lakeflow (Public Preview) Allows installation from internal Python repositories without index-url or extra-index-url. Requires workspace admin configuration.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Feb 11, 2026
Agentic code converter is in Beta Converts T-SQL, Snowflake, and other dialects to ANSI SQL. Requires workspace admin enablement.
Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon Deletes now retain associated tables by default, set cascade=true to remove them.
Change to use_case field in VPC endpoint API responses Coming soon Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
Configure default Python package repositories for Spark Declarative Pipelines on Lakeflow (Public Preview) Allows installation from internal Python repositories without index-url or extra-index-url. Requires workspace admin configuration.
Headlines, dates and product areas are Databricks' own, and every item links to the note it
came from. The one-line summaries are ours.