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83 releases of 1321

Last updated 5 hours ago

Release					Date
Standard performance mode is now available for one-time runs in the Jobs API Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator. #Lakeflow #Serverless	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Sep 11, 2026
Environment version 6 is now available Supports serverless and standard classic compute. #Serverless	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Sep 3, 2026
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	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Sep 1, 2026
Databricks Runtime 19: September 1, 2026 Replaces manual change data feed enablement, requires row tracking enabled. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Sep 1, 2026
Databricks Runtime maintenance updates (09/01) Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Sep 1, 2026
JAR tasks on serverless compute are now generally available Requires matching Scala, Java Development Kit, and Databricks Connect versions. #Lakeflow #Serverless	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Aug 6, 2026
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 (08/04) Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Aug 4, 2026
Environment variables for serverless jobs are in Beta Requires workspace admin to enable from Previews page. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Aug 3, 2026
Serverless compute access control is now generally available Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged. #Compute #Serverless	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Aug 3, 2026
Databricks Runtime maintenance updates (07/24) Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 24, 2026
Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to LTS Receives 3 years of stability and security fixes. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 23, 2026
Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available Powered by Apache Spark 4.2.0. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 23, 2026
Databricks Runtime 19: July 23, 2026 Enables Arrow-optimized Python UDFs by default, changing type-coercion behavior. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 23, 2026
Scala and Java UDFs in Unity Catalog are now generally available Reuses existing JVM logic, offers better performance than Python UDFs. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	Jul 16, 2026
Object metadata column is now in Public Preview Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 8, 2026
July 6, 2026 Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions. #Serverless	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 6, 2026
MySQL integrated CDC pipeline is now in Beta Replaces separate ingestion gateway, requires single pipeline update. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 1, 2026
Databricks Runtime maintenance updates (06/29) Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 29, 2026
Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
Parquet v2 for Delta Lake tables is generally available Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	Jun 29, 2026
Databricks Runtime 19 (Beta): June 26, 2026 Restricts environment variables and Spark configurations in standard access mode. Removes previously allowed settings. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 26, 2026
AUTO CDC flows for streaming tables in Databricks SQL are generally available Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic. #Data Engineering #Databricks SQL	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 15, 2026
Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta Powered by Apache Spark 4.2.0. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 15, 2026
Databricks Runtime 19 (Beta): June 15, 2026 Replaces JDK 17 with JDK 21, removes 90 Python packages. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 15, 2026
Auto time-to-live for automatic row deletion is generally available Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	Jun 12, 2026
Converting a partitioned table to liquid clustering is generally available Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	Jun 12, 2026
Databricks Runtime 18: June 10, 2026 Adds Spark Declarative Pipelines and IP address functions, requires no changes to existing setups. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 10, 2026
Lakehouse Replay (Beta) Automatically replays serverless workloads against upcoming runtime releases. Requires no setup. #Data Engineering #Databricks SQL	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 10, 2026
Databricks Runtime 18: June 8, 2026 Adds NEAREST BY SQL join type and DESCRIBE TABLE PARTITION for v2 catalog tables. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 8, 2026
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. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 4, 2026
Databricks Runtime 18: May 29, 2026 Treats NaN values as duplicates, preserves Unity Catalog foreign table permissions during metadata refresh. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 29, 2026
Workspace admin setting for serverless notebook execution timeout Replaces manual override process, defaults to 2.5 hours. #Admin #Serverless	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	May 27, 2026
Databricks Runtime maintenance updates (05/26) Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 26, 2026
Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning are in Beta Powered by Apache Spark 4.1.0, replacing separate release notes for feature versions. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 22, 2026
Databricks Runtime 18: May 18, 2026 Preserves table comments by default, auto-casts compatible column types in DataFrame writes. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 18, 2026
Databricks Runtime maintenance updates (05/13) Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 13, 2026
Version 18.2 Adds CREATE OR REPLACE TEMP TABLE syntax and upgrades Snowflake JDBC driver to 3.28.0. #Serverless	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 13, 2026
Faster package installs with %uv pip in serverless notebooks Requires environment version 5 or above. Replaces %pip for faster installs. #Notebooks #Serverless	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	May 7, 2026
Databricks Runtime 18: May 4, 2026 Clusters using XPath no longer load external DTDs, and NULL structs are stored as NULL. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 4, 2026
Databricks Runtime 18.2 is now GA Replaces 7.3 and 7.3 ML. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 4, 2026
Databricks Runtime maintenance updates (04/29) Includes bug fixes, security patches, and performance improvements for LTS versions 13.3 to 16.4. #Databricks Runtime	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Apr 29, 2026

Standard performance mode is now available for one-time runs in the Jobs API
Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.

#Lakeflow #Serverless

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Sep 11, 2026
Environment version 6 is now available
Supports serverless and standard classic compute.

#Serverless

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Sep 3, 2026
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

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Sep 1, 2026
Databricks Runtime 19: September 1, 2026
Replaces manual change data feed enablement, requires row tracking enabled.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Sep 1, 2026
Databricks Runtime maintenance updates (09/01)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Sep 1, 2026
JAR tasks on serverless compute are now generally available
Requires matching Scala, Java Development Kit, and Databricks Connect versions.

#Lakeflow #Serverless

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Aug 6, 2026
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 (08/04)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Aug 4, 2026
Environment variables for serverless jobs are in Beta
Requires workspace admin to enable from Previews page.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Aug 3, 2026
Serverless compute access control is now generally available
Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.

#Compute #Serverless

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Aug 3, 2026
Databricks Runtime maintenance updates (07/24)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 24, 2026
Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to LTS
Receives 3 years of stability and security fixes.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 23, 2026
Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available
Powered by Apache Spark 4.2.0.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 23, 2026
Databricks Runtime 19: July 23, 2026
Enables Arrow-optimized Python UDFs by default, changing type-coercion behavior.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 23, 2026
Scala and Java UDFs in Unity Catalog are now generally available
Reuses existing JVM logic, offers better performance than Python UDFs.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs Jul 16, 2026
Object metadata column is now in Public Preview
Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 8, 2026
July 6, 2026
Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.

#Serverless

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 6, 2026
MySQL integrated CDC pipeline is now in Beta
Replaces separate ingestion gateway, requires single pipeline update.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 1, 2026
Databricks Runtime maintenance updates (06/29)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 29, 2026
Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
Parquet v2 for Delta Lake tables is generally available
Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs Jun 29, 2026
Databricks Runtime 19 (Beta): June 26, 2026
Restricts environment variables and Spark configurations in standard access mode. Removes previously allowed settings.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 26, 2026
AUTO CDC flows for streaming tables in Databricks SQL are generally available
Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

#Data Engineering #Databricks SQL

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 15, 2026
Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta
Powered by Apache Spark 4.2.0.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 15, 2026
Databricks Runtime 19 (Beta): June 15, 2026
Replaces JDK 17 with JDK 21, removes 90 Python packages.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 15, 2026
Auto time-to-live for automatic row deletion is generally available
Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs Jun 12, 2026
Converting a partitioned table to liquid clustering is generally available
Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs Jun 12, 2026
Databricks Runtime 18: June 10, 2026
Adds Spark Declarative Pipelines and IP address functions, requires no changes to existing setups.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 10, 2026
Lakehouse Replay (Beta)
Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

#Data Engineering #Databricks SQL

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 10, 2026
Databricks Runtime 18: June 8, 2026
Adds NEAREST BY SQL join type and DESCRIBE TABLE PARTITION for v2 catalog tables.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 8, 2026
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.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 4, 2026
Databricks Runtime 18: May 29, 2026
Treats NaN values as duplicates, preserves Unity Catalog foreign table permissions during metadata refresh.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 29, 2026
Workspace admin setting for serverless notebook execution timeout
Replaces manual override process, defaults to 2.5 hours.

#Admin #Serverless

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs May 27, 2026
Databricks Runtime maintenance updates (05/26)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 26, 2026
Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning are in Beta
Powered by Apache Spark 4.1.0, replacing separate release notes for feature versions.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 22, 2026
Databricks Runtime 18: May 18, 2026
Preserves table comments by default, auto-casts compatible column types in DataFrame writes.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 18, 2026
Databricks Runtime maintenance updates (05/13)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 13, 2026
Version 18.2
Adds CREATE OR REPLACE TEMP TABLE syntax and upgrades Snowflake JDBC driver to 3.28.0.

#Serverless

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 13, 2026
Faster package installs with %uv pip in serverless notebooks
Requires environment version 5 or above. Replaces %pip for faster installs.

#Notebooks #Serverless

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs May 7, 2026
Databricks Runtime 18: May 4, 2026
Clusters using XPath no longer load external DTDs, and NULL structs are stored as NULL.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 4, 2026
Databricks Runtime 18.2 is now GA
Replaces 7.3 and 7.3 ML.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 4, 2026
Databricks Runtime maintenance updates (04/29)
Includes bug fixes, security patches, and performance improvements for LTS versions 13.3 to 16.4.

#Databricks Runtime

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Apr 29, 2026

Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.