Databricks releases, every cloud
- Dashboard enhancements and bug fixes
Converts SQL datasets to local metric views and adds parameter support to Genie Code.
- Sharing foreign Delta tables with OpenSharing is now generally available
Allows sharing tables from OneLake, Hive metastore, or AWS Glue without copying data.
- Sharing foreign Iceberg tables with OpenSharing is now generally available
Includes tables from external Iceberg catalogs via Lakehouse Federation.
- Sharing foreign schemas and tables with OpenSharing is now generally available
Sharing foreign schemas and tables doesn't copy data into Databricks. It incurs compute and storage costs on the provider's side.
- Dashboard enhancements
Supports more Tableau calculations and relationship-scoped filters.
- Dashboard enhancements and bug fixes
Embedded dashboards now have filter APIs, and ranked table calculations are imported from Power BI and Tableau.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Share metric views with OpenSharing (Beta)
Allows sharing with users in other metastores or accounts. Requires adding views to a share.
- Dashboard enhancements and bug fixes
Hides pages from published view, adds path map visualization and customizable table column header alignment.
- Share foreign Delta tables with OpenSharing (Public Preview)
Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.
- Dashboard enhancements and bug fixes
Import from Power BI and Tableau is now generally available. Larger Excel downloads support up to 1 million rows.
- Sharing managed Iceberg tables is now generally available
Now supports sharing to external Iceberg clients.
- Dashboard enhancements and bug fixes
Removes duplicate subscribers from dashboard schedules, fixes duplicate emails and import issues.
- Sharing tables backed by default storage is now generally available
Enabled by default on a rolling basis, can be shared with classic compute recipients.
- Sharing tables backed by default storage will be enabled by default for all accounts Coming soon
Automatically enabled for most Enterprise or Premium tier accounts in mid-September 2026.
- Dashboard enhancements and bug fixes
Supports rich text formatting in widget titles and descriptions. Adds run history for schedules.
- Format AI/BI dashboard widget titles and descriptions with rich text
Supports text styling, links, and tables via toolbar or markdown.
- Sharing Delta tables with deletion vectors and column mapping is now generally available
Enables sharing tables with deletion vectors or column mapping. Requires setup in Add tables with deletion vectors or column mapping to a share.
- Sharing Delta tables with Iceberg reads enabled is now generally available
Enables reading Delta tables as Iceberg tables, requires Databricks Runtime 8.4 or above.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Environment variables for serverless jobs are in Beta
Requires workspace admin to enable from Previews page.
- Dashboard enhancements and bug fixes
Genie Code now creates dashboard relationships from imported BI files and supports full undo and redo.
- Dashboard enhancements and bug fixes
Adds image widget, improves multi-select filters, and fixes cross-filtering and scrollbar bugs. Genie Code for dashboard authoring is now generally available.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks-hosted sample datasets available in the samples catalog
Available in Unity Catalog-enabled workspaces through OpenSharing as samples.databricks.datasets.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Dashboard enhancements and bug fixes
Git folders are now generally available, and schedules can be run on demand.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Scala and Java UDFs in Unity Catalog are now generally available
Reuses existing JVM logic, offers better performance than Python UDFs.
- Trigger.AvailableNow support for OpenSharing streaming (GA)
Replaces Trigger.Once, requires Databricks Runtime 18.0 or above.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Dashboard enhancements and bug fixes
Import BI files uses Genie Code, supports Power BI and Tableau reports.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Object metadata column is now in Public Preview
Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Dashboard enhancements and bug fixes
Imports Power BI and Tableau reports as AI/BI dashboards. Adds STRING_AGG function for concatenating strings.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Dashboard relationships (Public Preview)
Builds complex multi-fact data models for AI/BI dashboards.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - MySQL integrated CDC pipeline is now in Beta
Replaces separate ingestion gateway, requires single pipeline update.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Parquet v2 for Delta Lake tables is generally available
Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.
- Dashboard enhancements and bug fixes
Annotations can be driven by data or calculations, and 6 new preset themes are available.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Dashboard enhancements
Adds table header color customization and local metric view parameters.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AUTO CDC flows for streaming tables in Databricks SQL are generally available
Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OIDC is now supported for sharing to Iceberg clients
Supports Iceberg REST Catalog clients like Snowflake or OSS Spark. Requires OpenID Connect federation.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Auto time-to-live for automatic row deletion is generally available
Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.
- Converting a partitioned table to liquid clustering is generally available
Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.
- Dashboard enhancements and bug fixes
Gantt charts require matching start and end field types. Custom visualizations use Vega-Lite library.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakehouse Replay (Beta)
Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Dashboard enhancements
Saves filter combos as shared bookmarks, adds pivot table column expansion.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
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.