Load Unity Catalog tables into PyTorch on AI Runtime (Beta)
UCDataset streams rows from Unity Catalog tables directly into PyTorch training loops on AI Runtime, without Spark or a SQL warehouse. It applies filter expressions and deletion vectors as it reads, and splits the matching rows across GPUs and data loader workers. See Load Unity Catalog tables into PyTorch with UCDataset .
Also shipped Nov 6, 2026Databricks in November 2026 →
Gemini Enterprise: End of Gemini Code Assist entitlement for existing subscriptions
Bundled Gemini Code Assist entitlements for existing Gemini Enterprise subscriptions will be removed on March 31, 2027. New subscriptions no longer include this entitlement as of October 9, 2026, with users directed to Google Antigravity for coding assistance.
Gemini Enterprise: Video generation upgrades to Omni 1.2 Flash
Gemini Omni 1.2 Flash is now generally available for video generation, replacing Veo 3.1. The update improves video clarity and instruction following.
Gemini Enterprise: Adobe data store (Preview)
The Adobe data store is now available in public preview for Gemini Enterprise. Users can search, share, and manage Adobe Creative Cloud assets and edit images using natural language.
BigQuery Graph and GQL queries are available with on-demand pricing
BigQuery Graph and Graph Query Language (GQL) are now supported for users on on-demand pricing models.
BigQuery Data Transfer Service for Shopify deprecates specific fields
Effective January 31, 2027, the BigQuery Data Transfer Service for Shopify will no longer support the legacyMode field in DeliveryProfile and the permitSkuSharing field in FulfillmentService.
BigQuery adds organization policy controls for models in preview
Users can now define custom organization policies to allow or deny specific operations on models within BigQuery. This feature is currently in preview.
More from Unity CatalogEvery Unity Catalog release →
Unity Catalog wikis are in Beta
Unity Catalog wikis are now in beta, enabling teams to document table meanings and usage directly within Catalog Explorer. Users can collaborate on documentation manually or via Genie Code.
Restore a deleted Unity Catalog metastore with the REST API (Public Preview)
Databricks account admins can now restore a deleted Unity Catalog metastore by ID using the REST API for up to 5 days after deletion in public preview.
Install drivers for JDBC Unity Catalog connections from Maven
Databricks now allows installing the JDBC driver for Unity Catalog connections directly from Maven coordinates instead of manually uploading files to a volume.
Recover dropped Unity Catalog volumes with UNDROP VOLUME
You can now recover a dropped Unity Catalog volume within 7 days. Find its ID with SHOW VOLUMES DROPPED , then run UNDROP VOLUME WITH ID to restore it with its privileges and tags. Requires Databricks Runtime 19 and above. See UNDROP VOLUME .
Lakehouse//RT supports fine-grained access control (Beta)
You can now run read queries on tables protected by row filters, column masks, and attribute-based access control (ABAC) policies with Lakehouse//RT. See Fine-grained access control .
Higher limits and BROWSE support for Unity Catalog secrets
A schema can now hold up to 1,000 Unity Catalog secrets, and a metastore up to 10,000, up from 100 and 1,000. The limits apply to Databricks-managed secrets and secrets backed by AWS Secrets Manager.
Serverless GPU in clean rooms will soon be on by default for accounts where it's turned off
Starting November 26, 2026, serverless GPU in clean rooms will be enabled by default for Enterprise tier accounts in Databricks.
Serverless GPU for clean room notebooks is now generally available
Databricks has made serverless GPU compute generally available for clean room notebooks, enabling model inference and training over shared data.