Releasesby GlyphYou can now train models using XGBoost version 2.1 by using the XGBOOST_VERSION option
You can now train models using XGBoost version 2.1 by using the XGBOOST_VERSION option. BigQuery uses the XGBoost 3.1.0 library to load and make predictions on XGBoost models. This feature is generally available .
Also shipped Aug 27, 2026Google Cloud in August 2026 →
CoCo in the Snowflake Extension for Visual Studio Code (General availability)
CoCo in the Snowflake Extension for Visual Studio Code is now generally available. CoCo runs in a side panel next to the extension's existing SQL and Snowpark Python workflows, so you can work locally while you stay connected to your Snowflake account.
Lakeflow Designer August Release
The Lakeflow Designer August release adds the Unique operator, expands the Aggregate, Select, and Python operators, and improves the canvas, preview, and version-history experience.
Genie Code is now available as a Lakeflow Jobs task (Beta)
You can now run prompts with Genie Code as a task in a Lakeflow Job. Genie Code runs your prompt autonomously. It can read upstream task outputs and call tools as needed. The task returns a link to the resulting Genie Code conversation with its response. See Genie Code task for jobs .
Genie Code for AI Runtime (Public Preview)
Use Genie Code to develop and troubleshoot deep learning workloads in notebooks connected to AI Runtime. Now in Public Preview , it generates distributed training code, resolves environment and dependency issues, and debugs GPU and distributed workload failures. See Use Genie Code with AI Runtime .
Share foreign Delta tables with OpenSharing (Public Preview)
You can now use OpenSharing to share foreign Delta tables, which are Delta-format tables registered in a foreign catalog such as OneLake, a Hive metastore, or AWS Glue. Providers add foreign Delta tables to a share, and recipients access the shared data in read-only format.
Atlassian Audit Logs connector (Beta)
The Atlassian Audit Logs connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests organization audit log events, such as user, security, and configuration changes, from Atlassian into Databricks. Authentication uses an Atlassian organization API key.
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The Data Engineering Agent is now HIPAA compliant
The Data Engineering Agent is now HIPAA compliant . For more information, see HIPAA compliance on Google Cloud .
Core graph processing for BigQuery Graph requires an Enterprise or Enterprise Plus edition reservation
Core graph processing for BigQuery Graph requires an Enterprise or Enterprise Plus edition reservation. Existing allowlisted users can continue to use Standard edition or on-demand billing until April 26, 2027, after which these billing models will no longer be supported for core graph processing.
You can now view real-time logs for your Python UDFs in Cloud Logging
You can now view real-time logs for your Python UDFs in Cloud Logging. This feature is generally available .
BigQuery data governance tags are supported in Terraform
BigQuery data governance tags are supported in Terraform. This feature is in Preview .
BigQuery data agent monitoring with Google Cloud Observability in preview
Teams can monitor the performance, adoption, latency and costs of BigQuery data agents and their conversations using Google Cloud Observability.
You can now create, store , and manage pipelines in Git folders
You can now create, store , and manage pipelines in Git folders. This feature is in Preview .
BigQuery now supports TabFM , Google's pre-trained foundation model for tabular data
BigQuery now supports TabFM , Google's pre-trained foundation model for tabular data. TabFM enables zero-shot regression and classification through in-context learning. It delivers high-accuracy predictions on structured data without requiring model training or hyperparameter tuning.