Databricks releases, every cloud
- Tag Unity Catalog functions
Requires Databricks Runtime 18.1 or above. Uses SET TAG and UNSET TAG commands.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Recently Resolved Incidents section in Data Quality Monitoring (Beta)
Shows automatically recovered unhealthy tables, including resolution time.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL version 2026.10 is rolling out in Current
Replaces version 2026.09, requires no configuration changes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Language selector for AI-generated comments in Catalog Explorer
Saves selection in browser's local storage, applying to all entity types.
- Version 18.1
Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Create and write to Unity Catalog tables from external Delta clients (Beta)
Requires catalog-managed commits to be enabled, supports Apache Spark clients.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- SQL reference documentation for managing governed tags
Adds 5 SQL statements: CREATE, ALTER, DROP, DESCRIBE, SHOW.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL version 2026.10 is now available in Preview
Fixes observation metric errors, optimizes Unity Catalog writes, and uses session timezone for timestamp partitions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Create alerts for anomaly detection in the Data Quality Monitoring UI (Beta)
Creates notifications for unusual data patterns, available in Beta.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Search in metric views fix
Now returns correct results across paginated results and supports filtering by display name.
- 5X-Large SQL warehouse size (Beta)
Available in all supported regions, controlled from Previews page.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ABAC policy functions now use snake_case naming
Replaces camelCase with snake_case, old forms still work but will be deprecated.
- Data quality monitoring documentation moved to Data governance (Unity Catalog)
Moved from Data guides to Data governance chapter.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serverless compute now available for IRAP and Canada Protected B workloads on Azure Databricks
Requires environment version 5 to be enabled.
- Customer-managed keys for Unity Catalog
Uses own encryption keys for Unity Catalog data. Replaces automatic encryption.
- Customer-managed keys for Unity Catalog (Beta)
Uses own encryption keys for Unity Catalog catalogs. Replaces automatic encryption.
- Version 18.0
Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.
- Serverless environment version 5 is now available
Includes CPU and GPU versions.
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- Databricks SQL version 2025.40 is rolling out in Current
Replaces version 2025.39, requires no setup changes.
- Discover page and domains (Beta)
Groups data assets by functional area, built on governed tags.
- OneLake catalog federation (Beta)
Allows read-only access to OneLake storage without copying data. Runs queries directly against file storage.
- Databricks SQL version 2025.40 is now available in Preview
Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.
- Serverless compute now available for compliance standards
Adds HITRUST, PCI-DSS, TISAX, and UK Cyber Essentials Plus support.
- New GCP regions support serverless compute
Available in me-central1 and southamerica-east1 regions.
- Improved group sharing for automatic identity management
Shares account-level assets with Microsoft Entra ID groups. Requires automatic identity management.
- You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs
Defined with YAML files, they support Python, Python wheel, and notebook tasks.
- New Azure Databricks accounts will not have access to legacy features
Accounts created after December 18, 2025 use Unity Catalog exclusively.
- New Databricks accounts will not have access to legacy features
New accounts use Unity Catalog, lack DBFS root access. Applies to accounts created after December 18, 2025.
- Serverless compute is now available in Azure China North 3
Available for notebooks, jobs, pipelines, and SQL warehouses.
- Serverless workspaces are now available in new GCP regions
Available in most GCP regions, see documentation for list.
- Serverless compute is now available in new regions
Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions.
- Databricks SQL version 2025.35 is rolling out in Current
Includes new features, see documentation for details.
- SQL Editor visualization fix
Tooltips now display in front of the legend.
- Serverless notebook tasks can now use jobs environment
Replaces inherited serverless environment with configurable job environment.
- Updated tag search syntax in workspace search
Use tag:<tag_key>:<tag_value> to search by key and value.
- Databricks SQL version 2025.35 is now available in Preview
Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.
- Serverless compute has been updated to version 17.3
Updated from version 17.2, requires no configuration changes.
- Column drop behavior updated
Fails if column has governed tags, requires removing tags first.
- New alert editing experience
Replaces old editor with a multi-tab editor for unified workflow.
- The billable usage table now records the performance mode of serverless jobs and pipelines
Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.
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.