Databricks releases, every cloud
- Sharing metric views with OpenSharing is now generally available
It allows adding metric views to a share and querying them with MEASURE(...) on serverless compute.
- Invite OpenSharing recipients by email (Beta)
Replaces exchanging sharing identifiers or credential files with a secure activation link.
- Variant shredding will soon be enabled by default on new Variant tables Coming soon
Requires Databricks Runtime 17.3 or above. Breaks compatibility with Databricks Runtime 15.4.
- 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.
- Sharing foreign Delta tables with OpenSharing is now generally available
Allows sharing tables from OneLake, Hive metastore, or AWS Glue without copying data.
- The counter_diff SQL window function is now available
Calculates differences between consecutive cumulative counter values, available in Databricks Runtime 19 and above.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- Sharing foreign Iceberg tables with OpenSharing is now generally available
Includes tables from external Iceberg catalogs via Lakehouse Federation.
- Sharing foreign schemas and tables with OpenSharing is now generally available
Sharing foreign schemas and tables doesn't copy data into Databricks. It incurs compute and storage costs on the provider's side.
- Databricks SQL version 2026.36 is rolling out in Current
It includes features from version 2026.32.
- 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.
- Share metric views with OpenSharing (Beta)
Allows sharing with users in other metastores or accounts. Requires adding views to a share.
- 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.
- Databricks Runtime maintenance updates (09/01)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
- Databricks SQL version 2026.36 is now available in Preview
It includes features from version 2026.32.
- Share foreign Delta tables with OpenSharing (Public Preview)
Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.
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- Databricks Runtime 19: August 24, 2026
Updates Java to Zulu21.52+15-CA and upgrades Jackson libraries to version 2.22.
- Databricks SQL version 2026.32 is rolling out in Current
It is available in the Current channel and includes new features.
- Sharing managed Iceberg tables is now generally available
Now supports sharing to external Iceberg clients.
- Sharing tables backed by default storage is now generally available
Enabled by default on a rolling basis, can be shared with classic compute recipients.
- Sharing tables backed by default storage will be enabled by default for all accounts Coming soon
Automatically enabled for most Enterprise or Premium tier accounts in mid-September 2026.
- Databricks SQL version 2026.32 is now available in Preview
It includes the is_valid_variant function and supports REPLACE USING and REPLACE ON clauses with INSERT INTO.
- REPLACE USING flows for standalone streaming tables (Beta)
Replaces rows matching specified key columns, requires SEQUENCE BY column.
- Alert system tables are in Public Preview
Contains alerts and alert_evaluation_history tables for auditing and monitoring.
- Databricks Runtime 19: August 10, 2026
It supports collect_union and evaluates HAVING before window functions.
- 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.
- Sharing Delta tables with deletion vectors and column mapping is now generally available
Enables sharing tables with deletion vectors or column mapping. Requires setup in Add tables with deletion vectors or column mapping to a share.
- Sharing Delta tables with Iceberg reads enabled is now generally available
Enables reading Delta tables as Iceberg tables, requires Databricks Runtime 8.4 or above.
- 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 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) - Databricks-hosted sample datasets available in the samples catalog
Available in Unity Catalog-enabled workspaces through OpenSharing as samples.databricks.datasets.
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) - Trigger.AvailableNow support for OpenSharing streaming (GA)
Replaces Trigger.Once, requires Databricks Runtime 18.0 or above.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL alerts are now available by default for workspaces with the compliance security profile enabled
Supports all compliance security profile standards, monitors data and KPIs via scheduled queries.
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