Databricks releases, every cloud
- Dashboard visualization enhancements
Pivot table headers render faster with reduced scroll lag.
- Genie Agent (formerly Genie Space) limits and Research Agent improvements
Limits increased to 200, adds starter questions and auto-suggested benchmarks.
- Serverless compute is now available in new regions
Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions.
- Dashboard visualization improvements and bug fixes
Counters now track metrics over time with sparklines. Filters apply instantly by default.
- Databricks SQL version 2025.35 is rolling out in Current
Includes new features, see documentation for details.
- Genie APIs and Research Agent in Beta
Genie Create and Update APIs allow creating and updating Genie Agents. Research Agent enables multi-step reasoning and hypothesis testing.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Databricks SQL alerts are now in Public Preview
The new editing experience replaces the previous one. It requires the latest 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.
- Dashboard search and embedding enhancements
Search now covers widget titles and descriptions, and dataset queries are searchable from the workspace bar.
- Genie navigation and accuracy improvements
Fixes back button error and broken entity matching link. Optimizes column selection for relevance.
- Dashboard filter and counter enhancements
Supports date and number filters, and consumes Unity Catalog metadata.
- Genie visualization and query result improvements
Includes text explanations for empty results and uses query metadata for auto-generated charts.
- List MCP servers in Azure Databricks Marketplace (Public Preview)
Allows distribution of AI tools and connection to external data sources, requires provider listing.
- List MCP servers in Databricks Marketplace (Public Preview)
Lets users install MCP servers to connect AI agents to external data sources.
- 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.
- Dashboard visualization, pivot table, and authoring improvements
Adds Slack channel subscriptions, Top N scroll bar on mouseover, and export to materialized view.
- Databricks SQL version 2025.35 is now available in Preview
Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Genie thinking steps and benchmark error resolution
Explains SQL logic in plain language. Replaces technical explanations in Genie Space, now Genie Agent.
- Serverless compute has been updated to version 17.3
Updated from version 17.2, requires no configuration changes.
- Dashboard publishing, scheduling, and field management improvements
Notify viewers is off by default. Custom calculations support over 170 functions.
- Genie benchmark scaling and SQL function support
Maximum benchmarks per Genie Agent increased to 500. Supports Unity Catalog SQL functions as answers.
- New alert editing experience
Replaces old editor with a multi-tab editor for unified workflow.
- Dashboard pivot tables, gridlines, and drill-through enhancements
Supports contains, startswith, endswith functions in pivot tables. Gridlines can be toggled on and off in charts.
- Genie API updates, benchmark explanations, and JOIN improvements
JOIN relationships are now sortable, Genie API endpoints move from Beta to Public Preview.
- AI/BI dashboard table and text widget improvements
Control line thickness in line charts, copy link URLs from tables, and use DISTINCT and FILTER in aggregate functions.
- Genie knowledge store enhancements and benchmark improvements
Space editors can save messages to benchmark questions and generate benchmark SQL answers. Improves performance and latency.
- 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.
- Visualizations fix
Fixes legend selection for charts with aliased series names in SQL editor and notebooks.
- AI/BI dashboard enhancements and global filters improvements
Fixes global filters panel overflow, adds copy and paste for widgets and pages.
- Genie Agent (formerly Genie Space) enhancements and thinking trace features
Adds tables and metric views to spaces, treats extra output rows or columns as incorrect.
- Semantic metadata in metric views
Requires YAML 1.1 and Databricks Runtime 17.3 or higher.
- Semantic metadata support for metric views
Requires YAML spec 1.1 or higher and Databricks Runtime 17.3 or above.
- AI/BI dashboard global filters panel improvements
Opens by default on first visit, preserves last setting thereafter.
- Databricks SQL version 2025.30 is now available in Preview
Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.
- Genie benchmarks and JOIN relationship enhancements
Benchmarks run as background tasks, and accepted JOINs are confirmed with a checkmark.
- AI/BI dashboard Genie integration and publish dialog improvements
Genie uses publisher's credentials for embedded dashboards, otherwise uses viewer's. Publish dialog is redesigned.
- Genie SQL improvements, API enhancements, and bug fixes
Upgraded LLMs improve SQL authoring accuracy. Autocomplete is now available for Genie SQL editing.
- AI/BI dashboard text widget and performance improvements
Enhanced UI for text formatting and image insertion. Resolves performance slowdowns and page loading issues.
- Genie chart fixes and feature enhancements
Fixed thin bars, single-point maps, and increased entity matching limit to 120 columns.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.