Databricks releases, every cloud
- The counter_diff SQL window function is now available
Calculates differences between consecutive cumulative counter values, available in Databricks Runtime 19 and above.
- Window measures on a numeric index column in metric views
Supports unitless offset and ranges on consecutive integer columns, useful for non-calendar periods like fiscal weeks.
- See which chunks support each ai_search answer (Beta)
Added generate_citations option to show supporting chunks.
- time_bucket SQL function aligns timestamps to fixed-width time buckets
Replaces date_trunc for non-calendar units, requires origin and width parameters.
- Databricks Runtime 19: September 1, 2026
Replaces manual change data feed enablement, requires row tracking enabled.
- Databricks Runtime maintenance updates (09/01)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- REPLACE USING flows for standalone streaming tables (Beta)
Replaces rows matching specified key columns, requires SEQUENCE BY column.
- Change data feed on materialized views (Beta)
Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.
- Databricks Runtime maintenance updates (08/04)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
- Automatic cost attribution for materialized views and streaming tables in Databricks SQL
Inherits custom tags from enclosing SQL warehouse environment for billing.
- 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) - 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: 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) - Warehouse-level statement timeouts (Beta)
Set via statement_timeout field in Create or Update warehouse APIs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakehouse Real-Time (Beta)
Delivers sub-second SQL read queries against Unity Catalog tables. Built for low-latency workloads.
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 SQL version 2026.20 is now available in Preview
Adds IP address functions, NEAREST BY join type, and QUALIFY clause, with fixes for MERGE WITH SCHEMA EVOLUTION.
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) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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) - 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) - Lakehouse Replay (Beta)
Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.
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) - 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) - 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) - Databricks SQL version 2026.15 is now available in Preview
XPath no longer fetches external DTDs, fixing failures from malformed URLs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Fixed LOD expression syntax update for metric views
Uses SQL window functions, replacing two-step pre-computation approach.
- Databricks Runtime 18: May 18, 2026
Preserves table comments by default, auto-casts compatible column types in DataFrame writes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime maintenance updates (05/13)
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 18: May 4, 2026
Clusters using XPath no longer load external DTDs, and NULL structs are stored as NULL.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Native data profiling for results tables in the SQL editor
Select column headers and click Open selection details to view statistics.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - agg SQL function as a synonym for measure
Replaces measure, used as agg(measure_column) in metric views.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime maintenance updates (04/29)
Includes bug fixes, security patches, and performance improvements for LTS versions 13.3 to 16.4.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Spark Declarative Pipelines on Lakeflow updates are retained for 60 days
Retention period increased from 30 to 60 days, applying to UI and REST API updates.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL version 2026.10 is rolling out in Current
Replaces version 2026.09, requires no configuration changes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18: April 20, 2026
Replaces EPSG:102100 with ESRI:102100 for GEOMETRY type. Includes OS security updates.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime maintenance updates (04/20)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.1.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18: April 2, 2026
Adds VOID column support in UDTs and 30-second socket timeout for JDBC streaming sink connections.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime maintenance updates (04/02)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.1.
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.