Pages will soon be available by default for workspaces with the compliance security profile enabled
Starting in December 2026, Pages will be available by default for workspaces with the compliance security profile enabled. This applies to workspaces with no compliance standard selected or with the HIPAA, PCI-DSS, C5, TISAX, or HITRUST compliance standard selected. Workspaces with any other compliance standard can't use Pages. See Limitations .
Also shipped Nov 11, 2026Databricks in November 2026 →
Web search in apps
Retool added native web search capabilities to the app builder Chat tab and app functions, enabling agent applications to query live web data via a managed Tavily account.
Eval datasets, curated by Bayes from your agents' real conversations
Monte Carlo introduced automated evaluation dataset generation by Bayes, creating Golden and Improvement datasets from an agent's scored conversations across intent and issue clusters.
BigQuery project caps are generally available
Project caps, also known as scheduling policies, are now generally available for BigQuery Enterprise and Enterprise Plus editions. This feature allows users to limit maximum slots and concurrency per project within a reservation.
BigQuery reservation assignments support principal routing
BigQuery now allows specifying a principal property on reservation assignments to route queries to specific reservations based on the identity of the user or service account. This feature is generally available for Enterprise and Enterprise Plus editions.
BigQuery JSON_FLATTEN function is generally available
The JSON_FLATTEN function is now generally available. It extracts non-array values from JSON inputs, including those nested within consecutive arrays.
Ornith-1.0-9B and Ornith-1.0-35B models now available on Amazon SageMaker JumpStart
DeepReinforce AI's Ornith-1.0-9B and Ornith-1.0-35B models are now available on Amazon SageMaker JumpStart. These open-source models are designed for agentic coding workflows.
More from Unity CatalogEvery Unity Catalog release →
Pages are generally available
Databricks announced the general availability of Pages in Unity Catalog, providing governed definitions of business concepts organized by domain on the Discover page.
ABAC DENY policies support AI securables and attachment to individual objects (Beta)
- Expanded FOR clause support: DENY policies can now apply to model services, model provider services, MCP services, agent services, and skills. Expanded ON clause support: DENY policies can now be attached directly on tables, volumes, functions, models, secrets, model services, model provider services, MCP services, agent services, and skills.
External access to Unity Catalog managed Delta tables will soon be available by default for workspaces with the compliance security profile enabled
Starting December 10, 2026, external access to Unity Catalog managed Delta tables will be enabled by default for workspaces with the compliance security profile. This allows supported Delta clients to read and write managed tables.
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 .
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.
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 .