Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- Data Classification now scans Unity Catalog views (Beta)
Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.
- Sharing foreign Delta tables with OpenSharing is now generally available
Allows sharing tables from OneLake, Hive metastore, or AWS Glue without copying data.
- 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.
- Share metric views with OpenSharing (Beta)
Allows sharing with users in other metastores or accounts. Requires adding views to a share.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- Target an Azure capacity reservation group for classic compute
Requires VNet injection, guarantees compute capacity for constrained VM types.
- 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.
- 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.
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- 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) - Data Classification is now available by default for additional compliance standards
Requires compliance security profile with C5, TISAX, or IRAP controls.
- 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) - Data Classification is now available by default for some workspaces with the compliance security profile enabled
Requires compliance security profile and specific controls like HIPAA or HITRUST.
- 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) - Schedule deferred policy enforcement for all-purpose compute
Applies on next restart or immediately, and admins can cancel scheduled enforcements.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Instance events and instance pools system tables are now available (Public Preview)
Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Container Services for standard compute is now available (Beta)
Requires Databricks Runtime 18.3 or later, allows custom Docker images in shared compute.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Cloud token access for open Delta Sharing sharing (GA)
Supports directory-based access mode, includes cloud storage location and temporary credentials.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Data Classification is now GA
Automatically classifies and tags sensitive data in Unity Catalog using AI.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Compute log delivery to volumes is now GA
Delivers Spark driver, worker, and event logs to Unity Catalog volumes, recommended for log storage.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Column-level SAP governance tags sync into Unity Catalog
Includes fieldSemantics, isPotentiallyPersonal, and isPotentiallySensitive tags for ABAC policies.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Share foreign Iceberg tables with Delta Sharing (Public Preview)
Adds read-only access to federated foreign Iceberg tables. Requires Delta Sharing.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - SAP semantic metadata syncs automatically into Unity Catalog
Includes table and column comments, primary keys, and foreign keys.
- Changes to OpenSharing (formerly Delta Sharing) open recipient tokens Coming soon
Replaces old Delta Sharing endpoint with recipient-specific URL format. New tokens use https://<recipient-id>.opensharing.us-west-2.cloud.databricks.com.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serverless compute is enabled by default
Eligible Google Cloud workspaces are affected, account admins no longer need to manually enable it.
- Update request parameters for Delta Sharing recipient audit log events
Includes catalog_name, in addition to share_name.
- Flexible node types are now generally available
Falls back to alternative instance types when specified type is unavailable, improving launch reliability.
- Delta Sharing to external Iceberg clients is in Public Preview
Supports Snowflake, Trino, Flink, and Spark clients with zero-copy access.
- New token expiration policy for open Delta Sharing
New tokens expire in 1 year, existing ones expire on December 8, 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.