Databricks releases, every cloud
- Share foreign Iceberg tables with Delta Sharing (Public Preview)
Adds read-only access to federated foreign Iceberg tables. Requires Delta Sharing.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - SAP semantic metadata syncs automatically into Unity Catalog
Includes table and column comments, primary keys, and foreign keys.
- New SQL editor default enablement and legacy SQL editor retirement Coming soon
New SQL editor becomes default in May, legacy editor retires in July.
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) - Changes to OpenSharing (formerly Delta Sharing) open recipient tokens Coming soon
Replaces old Delta Sharing endpoint with recipient-specific URL format. New tokens use https://<recipient-id>.opensharing.us-west-2.cloud.databricks.com.
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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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) - Databricks SQL version 2025.40 is rolling out in Current
Replaces version 2025.39, requires no setup changes.
- Databricks SQL version 2025.40 is now available in Preview
Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.
- Update request parameters for Delta Sharing recipient audit log events
Includes catalog_name, in addition to share_name.
- Delta Sharing to external Iceberg clients is in Public Preview
Supports Snowflake, Trino, Flink, and Spark clients with zero-copy access.
- New token expiration policy for open Delta Sharing
New tokens expire in 1 year, existing ones expire on December 8, 2026.
- Databricks SQL version 2025.35 is rolling out in Current
Includes new features, see documentation for details.
- ABAC-secured assets shared using Delta Sharing is in Public Preview
Applies to tables and schemas, but not streaming tables or materialized views.
- Delta Sharing views automatically permitted in serverless network policies
Permitted regardless of storage location alignment between shared tables and view dependencies. Simplifies network policy configuration.
- Databricks SQL alerts are now in Public Preview
Offers a new editing experience, replacing the previous version.
- Convert foreign tables to Unity Catalog managed or external tables (Public Preview)
Requires Databricks Runtime 17.0 LTS or above. Uses ALTER TABLE SET MANAGED or SET EXTERNAL.
- SAP BDC connector for Azure Databricks supports cross-cloud sharing
Supports sharing data between different cloud environments.
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- SAP BDC connector for Databricks supports cross-cloud sharing
Enables data sharing between different cloud environments. Requires SAP Business Data Cloud setup.
- SQL Editor visualization fix
Tooltips now display in front of the legend.
- Databricks SQL version 2025.35 is now available in Preview
Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.
- New alert editing experience
Replaces old editor with a multi-tab editor for unified workflow.
- The SAP Business Data Cloud (BDC) Connector for Azure Databricks is generally available
Enables secure data sharing between SAP BDC and Unity Catalog-enabled Azure Databricks workspaces.
- Visualizations fix
Fixes legend selection for charts with aliased series names in SQL editor and notebooks.
- Delta Sharing recipients can apply row filters and column masks (GA)
Recipients can filter and mask shared tables, but providers can't share tables with existing row-level security.
- Semantic metadata in metric views
Requires YAML 1.1 and Databricks Runtime 17.3 or higher.
- Databricks SQL version 2025.30 is now available in Preview
Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.
- Delta Sharing on Lakehouse Federation is in Beta
Shares foreign schemas and tables from query federation.
- Mount Delta shares to an existing shared catalog
Replaces need to create a new catalog for each share, now mounts to existing catalog.
- The SAP Business Data Cloud (BDC) Connector for Databricks is generally available
Enables secure data sharing between SAP BDC and Unity Catalog-enabled Databricks workspaces.
- Tables backed by default storage can be Delta shared to any recipient (Beta)
Excludes tables with partitioning enabled, works with classic compute recipients.
- Default warehouse setting is now available in Beta
Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.
- Databricks SQL version 2025.25 is rolling out in Current
Rolls out from August 20th to August 28th, 2025.
- Databricks SQL version 2025.25 is now available in Preview
Adds recursive common table expressions and spatial SQL expressions.
- Fixed timeout handling for materialized views and streaming tables
New views and tables apply warehouse timeout, existing ones require CREATE OR REFRESH. Default timeout is 2 days.
- New SQL editor is generally available
Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.
- Delta Sharing supports sharing tables and schemas secured by ABAC policies (Beta)
Secured tables and schemas can be shared, but policies don't apply to recipients.
- Preset date ranges for parameters in the SQL editor
Includes options like This week, Last 30 days, and Last year for timestamp and date parameters.
- Sharing streaming tables and materialized views is GA
Fewer limitations for share recipients and providers.
- Jobs & Pipelines list now includes Databricks SQL pipelines
Includes materialized views and streaming tables created with Databricks SQL.
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.