Databricks releases, every cloud
- 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.
- 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.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- 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.
- 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.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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.
- Sankey visualization and table formatting improvements
Sankey charts now support node display names. Table formatting fixes duplicate $ signs.
- Jobs & Pipelines list now includes Databricks SQL pipelines
Includes materialized views and streaming tables created with Databricks SQL.
- Dashboard performance optimizations and feature enhancements
Removes dataset result table view from Metric views, adds undo/redo and filtering.
- Inline execution history in SQL editor
Shows past results without re-executing queries, links to past query profiles.
- Databricks SQL version 2025.20 is now available in Current
Rolls out in stages to the Current channel, see 2025.20 features for details.
- New workflow for creating metric views from dashboards
Replaces manual creation, using AI/BI dashboard data tab.
- SQL editor updates
Supports date-range and multi-select parameters, and rearranges the run button and catalog picker to the header.
- Git support for alerts
Tracks alert changes, requires placing alerts in a Databricks Git folder. Newly cloned alerts are paused.
- Dashboard visualization updates
Fixes area chart error and swaps latitude and longitude in Point Maps.
- Dashboard theme settings and page enhancements
Retains theme settings on import/export, increases max pages to 15.
- Databricks SQL version 2025.20 is now available in Preview
Includes new features and behavioral changes in Preview channel.
- Dashboard Git integration and workflow improvements
Diff reviews show queries and text across multiple lines, and Genie supports multistatement SQL queries.
- File upload and theme customization features
Uploads files to Unity Catalog from dashboards. Customizes themes with font and color settings.
- Dashboard visualization fixes and schedule updates
Fixes tooltip highlighting and table collapse issues. Parameterized schedules are temporarily disabled.
- Databricks SQL Serverless engine upgrades
Upgrades bring up to 25% lower latency and add Predictive Query Execution and Photon vectorized shuffle.
- Dashboard scheduling and filtering improvements
Fixes issues with scheduling and cross-filtering on large datasets.
- User interface updates
Emits listHistoryQueries and getHistoryQuery events on Query History page and query profile opens.
- Dashboard catalog picker and filter fixes
Select catalog and schema from SQL editor, use table name only in queries. Fixes global filters on full-screen widgets.
- Metric views are in Public Preview
Requires a SQL warehouse on the 2025.16 Preview channel. Abstracts complex business logic into a centralized definition.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.