Databricks releases, every cloud
- 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.
- SQL Editor visualization fix
Tooltips now display in front of the legend.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- 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.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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.
- AI/BI dashboard active filter bar and visualization improvements
Shows all active filters on a dashboard, including global and page-level filters. Supports min and max aggregations for date fields.
- New Genie API endpoints and improved benchmarks
New endpoints manage conversations, replacing value sampling with prompt matching.
- Admins can now manage a workspace's serverless base environments (Public Preview)
Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.
- Dashboard external embedding Public Preview and new custom calculations functions
Adds ln, log, log10, and round functions, increases custom calculations limit to 200 per dataset.
- Default warehouse setting is now available in Beta
Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.
- Genie follow-up questions and fixes
Fixes cloning large spaces and CSV downloads on Windows.
- Dashboard sorting and formatting improvements
Sorting now works on temporal categorical axes. Numeric values can be formatted as Bytes.
- Databricks SQL version 2025.25 is rolling out in Current
Rolls out from August 20th to August 28th, 2025.
- Genie SQL validation and space management
Validates SQL join relationships and fixes space cloning issue. Flags errors in join statements.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.