Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- 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.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- Git Folder Serverless is in Beta
Shares serverless compute and pyproject.toml environment across notebooks and files.
- Share foreign Delta tables with OpenSharing (Public Preview)
Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.
- Default Python package repositories are GA for Lakeflow pipelines and classic compute
Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.
- Manage project environments with %uv commands
Requires environment version 5 or above. Supports serverless notebooks.
- 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.
- 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.
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- Target an Azure capacity reservation group for classic compute
Requires VNet injection, guarantees compute capacity for constrained VM types.
- Change data feed on materialized views (Beta)
Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.
- 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.
- 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.
- Web terminal on serverless GPU compute (AI Runtime) is in Public Preview
Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.
- Dedicated group clusters will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Enables shared compute for groups with compliance security profile, supporting Databricks Runtime for ML and RDD APIs.
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) - Serverless compute is now available in the Azure UK West region
Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.
- 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.
- 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) - MATCH_RECOGNIZE is now in Beta
Requires enabling Match Recognize preview in workspace settings.
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) - Metric view parameters are now in Public Preview
binds values at query time, replacing separate views per variant.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Solution Accelerators in Databricks Marketplace are now published as apps or notebooks
They are now categorized as apps or notebooks, with unchanged content.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Install third-party apps from Databricks Marketplace
Installs apps directly in Unity Catalog-governed workspaces, keeping provider code closed-source.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OIDC is now supported for sharing to Iceberg clients
Supports Iceberg REST Catalog clients like Snowflake or OSS Spark. Requires OpenID Connect federation.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Use Universal Commits to purchase Marketplace partner products
Up to 10% of Universal Commits can be used for third-party products.
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, 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.