Databricks releases, every cloud
- Databricks Runtime 18.2 and Databricks Runtime 18.2 ML are in Beta
Powered by Apache Spark 4.1.0.
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) - Databricks Documentation site table of contents tabs
Replaces static sidebar with tabbed navigation, includes 6 context tabs.
- New SQL editor default enablement and legacy SQL editor retirement Coming soon
New SQL editor becomes default in May, legacy editor retires in July.
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 now available in Preview
Fixes observation metric errors, optimizes Unity Catalog writes, and uses session timezone for timestamp partitions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Search in metric views fix
Now returns correct results across paginated results and supports filtering by display name.
- 5X-Large SQL warehouse size (Beta)
Available in all supported regions, controlled from Previews page.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18: March 11, 2026
Replaces previous behavior where observation metric errors caused query failures.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18.1 is now GA
Replaces Databricks Runtime 7.3.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL pipelines support notifications and performance mode (Beta)
Supports failure notifications and serverless performance mode for materialized views and streaming tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18: March 10, 2026
Includes clearer error messages for scalar subqueries and operating system 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 (03/10)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Workday HCM connector (Beta)
Ingests Workday Human Capital Management data into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serverless compute now available for IRAP and Canada Protected B workloads on Azure Databricks
Requires environment version 5 to be enabled.
- Version 18.0
Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.
- Databricks Runtime 18: February 26, 2026
Adds SET and UNSET METADATA ON COLUMN SQL commands for Unity Catalog table columns. Includes OS security updates.
- Databricks Runtime maintenance updates (02/26)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.
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- Serverless environment version 5 is now available
Includes CPU and GPU versions.
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- COMMENT ON streaming tables is now GA
Adds comments to streaming tables, previously only available for non-streaming tables.
- Databricks SQL version 2025.40 is rolling out in Current
Replaces version 2025.39, requires no setup changes.
- JAR tasks on serverless compute is now in Public Preview
Allows running JAR jobs without a cluster.
- Databricks Runtime 18: February 19, 2026
Inferencing Excel string cells now respects cell type, updating from auto-casting to narrower types.
- Databricks Runtime maintenance updates (02/19)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.
- TikTok Ads connector (Beta)
Ingests data from TikTok Ads into Databricks.
- Databricks Runtime 18.1 and Databricks Runtime 18.1 ML are in Beta
Powered by Apache Spark 4.1.0.
- File events enabled by default on new external locations
Enabled on new locations, detects file changes for storage jobs and pipelines, can be disabled after creation.
- HubSpot connector (Beta)
Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.
- Configure default Python package repositories for Spark Declarative Pipelines on Lakeflow (Public Preview)
Allows installation from internal Python repositories without index-url or extra-index-url. Requires workspace admin configuration.
- Databricks SQL version 2025.40 is now available in Preview
Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.
- Serverless compute now available for compliance standards
Adds HITRUST, PCI-DSS, TISAX, and UK Cyber Essentials Plus support.
- Applying filters, masks, tags, and comments to pipeline-created datasets is now GA
Modifies ETL and ingestion pipelines using CREATE, ALTER, or Lakeflow UI. Applies to Spark Declarative Pipelines on Lakeflow and Lakeflow Connect.
- Google Ads connector (Beta)
Ingests data from Google Ads into Databricks via Lakeflow Connect.
- New GCP regions support serverless compute
Available in me-central1 and southamerica-east1 regions.
- Zendesk Support connector (Beta)
Ingests ticket, help center, and community forum data from Zendesk Support.
- Trigger on update for pipelines (GA)
Refreshes pipeline when source table changes, usable in Databricks SQL pipeline schedules.
- View and restore your recent workspace tab sessions
Restores up to 10 recent sessions.
- Serverless workspaces are now generally available
Come pre-configured with serverless compute and default storage.
- Databricks Runtime 18: January 27, 2026
Reports batchSize and file processing metrics, renames spark.sql.xml.legacyXMLParser.enabled config property.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.