Databricks releases, every cloud
- Level of detail expressions for custom calculations
Control aggregation granularity independently of visualization dimensions. Used for calculating percentages or comparing values to dataset-wide aggregates.
- Dashboard navigation, pivot tables, and text widget improvements
Thicker scroll bar, larger title character limit, configurable pivot table header height, and markdown table support in text widgets.
- Dashboard pivot tables, filters, and data export improvements
Pivot tables display total rows at top, Excel downloads in pivoted format.
- Dashboard enhancements and fixes
Boolean values support custom string aliases, and filter widgets have several fixes and new features.
- Dashboard visualization enhancements and fixes
Sorts charts by hidden measure fields, adds spacing to range filters, and fixes Safari cross-filtering.
- Dashboard visualization enhancements and fixes
Adds individual series labels and fixes download format options to include CSV, TSV, and Excel.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Dashboard visualization enhancements
Pivot table headers render faster with reduced scroll lag.
- 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.
- 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.
- Dashboard search and embedding enhancements
Search now covers widget titles and descriptions, and dataset queries are searchable from the workspace bar.
- Dashboard filter and counter enhancements
Supports date and number filters, and consumes Unity Catalog metadata.
- 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.
- 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
- Dashboard publishing, scheduling, and field management improvements
Notify viewers is off by default. Custom calculations support over 170 functions.
- 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.
- 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.
- 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.
- Semantic metadata in metric views
Requires YAML 1.1 and Databricks Runtime 17.3 or higher.
- 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.
- 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.
- AI/BI dashboard text widget and performance improvements
Enhanced UI for text formatting and image insertion. Resolves performance slowdowns and page loading issues.
- 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.
- 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.
- 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.
- Dashboard table visualization and chart improvements
Adds indicator for hidden calculated measures, fixes transparent headers and pivot table column widths.
- 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.
- Dashboard theme improvements
Selection color in Terra theme is now darker blue.
- 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.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.