Databricks releases, every cloud
- Databricks Runtime 19: September 21, 2026
It supports truncate and trim_array functions in SQL and DataFrame APIs. Session environment variables are set using spark.pythonWorkerEnv.
- Dashboard enhancements and bug fixes
The dataset results table and metric view preview grid now include features like column pinning and natural-language filtering.
- Dashboard enhancements
Supports more Tableau calculations and relationship-scoped filters.
- Dashboard enhancements and bug fixes
It converts SQL datasets to local metric views and understands SQL dataset parameters.
- Automatic change data feed is now generally available
Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.
- Databricks Runtime 19: September 1, 2026
Auto CDF requires Databricks Runtime 19 or above with row tracking enabled. It makes MERGE and UPDATE operations about 15% faster.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Databricks Runtime maintenance updates (09/01)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
- Dashboard enhancements and bug fixes
Embedded dashboards support filter APIs and rich text formatting for dynamic data references.
- Databricks Runtime 19: August 24, 2026
Updates Java to Zulu21.52+15-CA and upgrades Jackson libraries to version 2.22.
- Dashboard enhancements and bug fixes
Authors can hide pages in published dashboards. Table column headers can be aligned independently of cells.
- Dashboard enhancements and bug fixes
Imports reports from Power BI and Tableau. Downloads up to 1 million Excel rows.
- Databricks Runtime 19: August 10, 2026
It supports collect_union and evaluates HAVING before window functions.
- Dashboard enhancements and bug fixes
Authors can remove duplicate subscribers from dashboard schedules. Fixes bugs including duplicate schedule emails and incorrect tooltips.
- Databricks Runtime maintenance updates (08/04)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
- Format AI/BI dashboard widget titles and descriptions with rich text
Supports text styling, links, and tables via toolbar or markdown.
- Dashboard enhancements and bug fixes
Visualization widget titles and descriptions now support rich text formatting. Pivot tables also fix grand totals display.
- Databricks Runtime maintenance updates (07/24)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
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
Genie Code now creates dashboard relationships from imported BI files and supports full undo and redo.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to LTS
Receives 3 years of stability and security fixes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available
Powered by Apache Spark 4.2.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 19: July 23, 2026
Enables Arrow-optimized Python UDFs by default, changing type-coercion behavior.
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
Genie Code is now generally available for dashboard authoring. It adds image widget support.
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 for dashboards. Run now option is added to dashboard schedules.
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 and supports Power BI and Tableau reports. Ask Genie now handles partially supported datasets.
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) - Databricks Runtime maintenance updates (06/29)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 19 (Beta): June 26, 2026
Restricts environment variables and Spark configurations in standard access mode. Removes previously allowed settings.
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
Imported reports from Power BI and Tableau become AI/BI dashboards. They reuse existing metric views when possible.
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) - Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta
Powered by Apache Spark 4.2.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 19 (Beta): June 15, 2026
Replaces JDK 17 with JDK 21, removes 90 Python packages.
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
Annotation lines can be driven by data or calculations. Six new preset themes are available for AI/BI dashboards.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18: June 10, 2026
Adds Spark Declarative Pipelines and IP address functions, requires no changes to existing setups.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Reorganized Spark Declarative Pipelines on Lakeflow documentation
Conceptual topics are now under Concepts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18: June 8, 2026
Adds NEAREST BY SQL join type and DESCRIBE TABLE PARTITION for v2 catalog tables.
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) - Databricks Runtime 18: June 4, 2026
NATURAL JOIN now matches columns case-insensitively by default. Set spark.sql.legacy.naturalJoinCaseSensitiveColumnMatching to true to restore previous behavior.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18: May 29, 2026
Treats NaN values as duplicates, preserves Unity Catalog foreign table permissions during metadata refresh.
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
Gantt charts require matching start and end field types. Custom visualizations use the Vega-Lite library.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime maintenance updates (05/26)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
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, and every item links to the note it came from. The one-line summaries are ours.