Releasesby IbisData Classification adds 50 new classes and support for 16 more countries and regions
Update9 days agoUnverifiedAdded Oct 23, 2026
Data Classification now detects 50 new classes of sensitive data, along with new regional support for 16 countries and regions: Payment card and financial data : Card security codes, card expiration dates, card track data, card PINs, SWIFT codes, and credit scores.
Topics: Governance, Security, Pricing, Regions
More Unity Catalog releases
Every Unity Catalog releaseREAD METADATA privilege support for compliance security profile standards
The READ METADATA privilege now supports all compliance security profile standards supported by Databricks and is available by default for workspaces with the compliance security profile enabled. For a full list of supported compliance standards, see Compliance security profile .
Data Classification API is now generally available
The Data Classification API and its Terraform resource are now generally available. Auto-tagging configuration ( auto_tag_configs ) remains in Public Preview . See the API reference .
Transactions support both managed Delta Lake and Apache Iceberg tables
Transactions are generally available for both Unity Catalog managed Delta Lake tables and Unity Catalog managed Apache Iceberg tables. Group multiple SQL statements across one or more managed Delta Lake or managed Apache Iceberg tables into a single atomic transaction using BEGIN ATOMIC ... END; or BEGIN TRANSACTION; ... COMMIT; syntax.
External access to views through the Unity REST API is generally available
External engines can now query Unity Catalog views over Delta Lake tables through the Unity REST API. See External access to views .
External writes to managed Delta tables are now generally available
Support for creating and writing to Unity Catalog managed Delta tables from external Apache Spark clients is now generally available. Tables must have catalog commits enabled. See Access Databricks tables from Delta clients .
Shared output in clean rooms is now generally available
Clean room runs can now write to a shared output schema that every collaborator can read as soon as each table is created, even before the run finishes. Use it to share results, logs, and debugging information with all collaborators. See Share output with all collaborators .
JAR workloads in clean rooms are now generally available
You can now run compiled Java or Scala code in clean rooms. Run a JAR as its own clean room analysis, or register a function from a JAR and call it from a clean room notebook as a temporary UDF. See Run JAR workloads in Databricks clean rooms .
Create clean rooms with identity resolution providers in one step (GA)
You can now create a ready-to-use packaged clean room with an approved identity resolution provider, such as Acxiom, Adstra, LiveRamp, or The Trade Desk, in one step from the Clean Rooms page. The provider is preconfigured as the package provider, so you can add your data and run the provider's analysis right away.
Also shipped on Oct 15, 2026
Databricks in October 2026Checkout footer visibility now applies to merchant-configurable content
The visibility fields on CheckoutBrandingFooterContent and CheckoutAndAccountsConfigurationBrandingFooterContent now control only merchant-configurable footer content. Checkout can display Shopify-provided transaction information in the footer regardless of this setting.
ShopifySync real-time Stripe data to Supabase with Stripe Data Pipeline
Supabase users can now sync real-time Stripe data directly from the Stripe Dashboard using Stripe Data Pipeline. The integration handles historical backfills and ongoing syncs without requiring custom webhooks or rate limit management.
You can copy tables across regions
You can copy tables across regions . This feature is now generally available (GA).
You can now use column aliases in GoogleSQL
You can now use column aliases in GoogleSQL. This feature lets you define an alias for an expression in the SELECT clause of a SQL query and immediately reference that alias within the same SELECT list or in the WHERE clause of the same query block.
You can export a conversational analytics agent's answer , including text, visualizations, tables, and...
You can export a conversational analytics agent's answer , including text, visualizations, tables, and citations, to a PDF or CSV file. This feature is generally available (GA).
Gemini Enterprise: Anthropic models are available in the Gemini Enterprise app
Administrators can make Anthropic models, Claude Opus 5.5 and Claude Sonnet 5.5, available to users in the Gemini Enterprise app. After an administrator turns on a model in the Enable third-party models section of the Feature Management tab, users can select the model in the model selector.