Releasesby GlyphLakehouse supports the following remote catalog providers for cross-cloud data access
Lakehouse supports the following remote catalog providers for cross-cloud data access. This feature is generally available (GA). Databricks Unity Catalog on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud AWS Glue Data Catalog on AWS Snowflake Horizon Catalog on AWS, Microsoft Azure, or Google Cloud Workday Data Lake on AWS or Google Cloud This...
Also shipped Nov 2, 2026Google Cloud in November 2026 →
Managed warehouse for MLflow (Beta)
Managed warehouse for MLflow is available in Beta, enabling users to view Unity Catalog traces in the MLflow UI without manually choosing a SQL warehouse.
Check out GitHub code without long-lived credentials on self-hosted agents
Self-hosted agents can now use temporary, read-only GitHub App tokens for repository checkout. This eliminates the need to distribute and rotate long-lived SSH keys or personal access tokens across your agent fleet.
[Launched] Generally Available: Change from virtual network integration to a private endpoint capable network configuration in Azure Database for PostgreSQL flexible server
You now have greater flexibility in network design for Azure Database for PostgreSQL Flexible Server workloads. Now you can change existing VNet-integrated servers from delegated-subnet networking to a private endpoint-capable configuration, enabling secu
[Launched] Generally Available: Restart databases in Azure SQL DB via the Azure portal
You can now restart or fail over databases directly from the Azure portal, including single databases, Hyperscale databases, and databases in elastic pools, without writing scripts against the Rest API or contacting support. Learn more.
Store and recover user sessions with RUM Managed Archive
Datadog RUM Managed Archive allows users to store all ingested RUM sessions and recover them on demand for debugging, incident investigation, and audits.
Datadog is now available on Anthropic’s Claude Marketplace
Datadog is now available on the Claude Marketplace, providing visibility into Claude-powered AI applications.
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Lakehouse caching for cross-cloud data access is generally available (GA)
Lakehouse caching for cross-cloud data access is generally available (GA). Cross-cloud caching is disabled by default. You can opt in to caching on a Lakehouse federated catalog or a BigQuery cross-cloud connection to cache remote files in your Google Cloud region. This helps reduce cross-cloud egress costs and accelerate subsequent queries.
You can now monitor the performance, adoption, latency, and costs of your data agents and their conversations...
You can now monitor the performance, adoption, latency, and costs of your data agents and their conversations by using Google Cloud Observability in BigQuery. This feature is generally available (GA).
You can use the AI.PARSE_DOCUMENT function to extract layout elements such as titles, headings, paragraphs...
You can use the AI.PARSE_DOCUMENT function to extract layout elements such as titles, headings, paragraphs, lists, tables, and images by using the Document AI layout parser to convert unstructured documents into structured JSON data. This function is generally available (GA).
The SECURE_CONTEXT function is now available in Preview
The SECURE_CONTEXT function is now available in Preview . SECURE_CONTEXT returns the value of a request-scoped secure context parameter provided at query runtime, allowing logical views to dynamically filter and evaluate data based on context variables such as user attributes, department IDs, or tenant identifiers.
The Data Engineering Agent now supports BigQuery AI, ML, and object functions and statements in generated...
The Data Engineering Agent now supports BigQuery AI, ML, and object functions and statements in generated Dataform SQLX pipelines and agent instruction files . This feature is generally available (GA).
You can now use BigQuery change history and continuous queries for Apache Iceberg managed tables in Lakehouse
You can now use BigQuery change history and continuous queries for Apache Iceberg managed tables in Lakehouse. You can use the APPENDS table-valued function (TVF) to track rows appended to Apache Iceberg managed tables over a specified time range, and use BigQuery continuous queries to read incoming data from and write output rows to Apache Iceberg managed...
In BigQuery Studio , the left pane has been updated with new tab names
In BigQuery Studio , the left pane has been updated with new tab names. The Classic Explorer tab has been renamed to the Data tab, and the Repository tab has been renamed to the Source control tab. The Data tab now includes the Add data button and focuses on data hierarchies. These changes are generally available (GA).
You can now use persistent and temporary SQL user-defined functions (UDFs) in BigQuery continuous queries to...
You can now use persistent and temporary SQL user-defined functions (UDFs) in BigQuery continuous queries to encapsulate and reuse custom real-time transformation logic. Only SQL UDFs are supported in continuous queries.