Databricks releases, every cloud Sep 2025 Jan 2026 May 2026 Sep 2026
Week of Feb 9 to Feb 15 Read it as a page All weeks
4
releases of 1348
All time Last updated 3 hours ago
Released on
Not yet on
Product
Release AWS Azure GCP SAP Date File events enabled by default on new external locations Enabled on new locations, detects file changes for storage jobs and pipelines, can be disabled after creation.
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 12, 2026 HubSpot connector (Beta) Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.
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 12, 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 Databricks SQL version 2025.40 is now available in Preview Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.
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
File events enabled by default on new external locations Enabled on new locations, detects file changes for storage jobs and pipelines, can be disabled after creation.
HubSpot connector (Beta) Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.
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.
Databricks SQL version 2025.40 is now available in Preview Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.
Headlines, dates and product areas are Databricks' own, and every item links to the note it
came from. The one-line summaries are ours.