Databricks releases, every cloud Sep 2025 Jan 2026 May 2026 Sep 2026
5
releases of 1357
All time Last updated 7 hours ago
Released on
Not yet on
Product
Release AWS Azure GCP SAP Date Data Classification now scans Unity Catalog views (Beta) Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Sep 15, 2026 Automated setup for S3 external locations Uses AWS IAM temporary delegation to configure external locations and provision required resources.
On AWS, read it on their docs − Not on Azure − Not on GCP On SAP, read it on their docs Jul 22, 2026 Reorganized Spark Declarative Pipelines on Lakeflow documentation Conceptual topics are now under Concepts.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs − Not on SAP Jun 9, 2026 Databricks Documentation site table of contents tabs Replaces static sidebar with tabbed navigation, includes 6 context tabs.
On AWS, read it on their docs − Not on Azure On GCP, read it on their docs − Not on SAP Mar 31, 2026 Data classification system table Beta Captures sensitive data detections at column level across enabled catalogs.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Sep 30, 2025
Data Classification now scans Unity Catalog views (Beta) Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.
Automated setup for S3 external locations Uses AWS IAM temporary delegation to configure external locations and provision required resources.
Reorganized Spark Declarative Pipelines on Lakeflow documentation Conceptual topics are now under Concepts.
Databricks Documentation site table of contents tabs Replaces static sidebar with tabbed navigation, includes 6 context tabs.
Data classification system table Beta Captures sensitive data detections at column level across enabled catalogs.
Headlines, dates and product areas are Databricks' own, and every item links to the note it
came from. The one-line summaries are ours.