Releasesby IbisTransactions support both managed Delta Lake and Apache Iceberg tables
GA10 days agoUnverifiedAdded Oct 21, 2026
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.
Topics: SQL, Governance, Apache Iceberg, Observability
More Unity Catalog releases
Every Unity Catalog releaseData 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 .
Data Classification adds 50 new classes and support for 16 more countries and regions
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.
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.
READ 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 .
Also shipped on Oct 14, 2026
Databricks in October 2026The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA)
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA). This integration lets you use the metastore as a serverless, central metadata layer, enabling seamless data sharing and unified querying across Apache Spark, Apache Hive, and BigQuery.
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA)
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA). You can perform a one-time backfill migration or dry run to migrate metadata from a Dataproc Metastore service to an Apache Iceberg REST catalog endpoint or a Hive catalog endpoint using the Google Cloud console, the gcloud CLI, or the REST API.
Conversational analytics now lets you create a conversation with all of the data sources in multiple...
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise . This feature is now generally available (GA).
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the...
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the function output as a comma-separated list of fields. This feature is generally available (GA).
DeepSeek-V4.1-Flash is available in Public Preview
DeepSeek-V4.1-Flash from DeepSeek is available as a fully managed model (MaaS) in Model Garden. The model accepts text and image input, targets agentic and coding tasks, and supports a context window of up to 1M tokens. For more information, see DeepSeek-V4.1-Flash .