All release notes

• Collation support on Snowflake-managed Apache Iceberg™ tables (General availability)

Analytical search, an orchestration capability in Cortex Agents that enables analytical queries over large document collections, is now in Public Preview.

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Select Integrated SaaS listings now let you start a free trial of a provider's application directly from a Marketplace listing. This experience replaces the trials previously offered through Snowflake Partner Connect and brings them into the Marketplace, where discovery, trial, and purchase all happen in one place. Anyone can browse and discover these listings in the Marketplace, no elevated privileges required, and you can return to them at any time to start a trial or purchase the application, including drawing down on your existing Snowflake capacity commitment through Marketplace Capacity Drawdown.

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Snowflake now supports replication of dynamic Iceberg tables as part of replication and failover groups. Previously, dynamic Iceberg tables were skipped during replication refresh operations.

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You can now use a SQL query (rather than a physical table) as a logical table in a semantic view. This lets you define logical tables based on joins, transformations, or any SQL expression without creating a separate view first.

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You can now define variables in a semantic view to parameterize facts, dimensions, and metrics. Variables let you customize calculations at query time without changing the view definition.

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The following new features and enhancements are now available in Snowflake Data Clean Rooms:

• Edit Collaboration - Public Preview: The new Edit Collaboration API lets collaboration owners add or remove collaborators and change the roles of existing collaborators. Each requested change takes effect only after the affected collaborators approve it. This capability is available only for collaborations created after this update. For more details, see the API documentation.
• Improved API auto-upgrades: The retry mechanism for auto-upgrade is improved for better task efficiency. Please enable auto-upgrades to always be on latest version. Details here. Please remount if you are on version below 12.3. Learn more here.
• Updated details column for update requests: The details column payload returned by VIEW_UPDATE_REQUESTS has been updated for several update request types, with some fields removed or renamed for greater clarity and consistency. The following fields have been removed from the details payload:

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When defining a semantic view, you can now specify sample values and enum indicators in the create semantic view command.

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• Dynamic Tables supported on Delta Direct tables (General availability)
• Insert-only streams supported on Delta Direct tables (General availability)

The following new features and enhancements are now available in Snowflake Data Clean Rooms:

• ML Jobs in Data Clean Rooms — Generally Available: ML Jobs enables collaborators to run containerized machine learning workloads on a dedicated compute pool inside a Data Clean Room. Supported use cases include lookalike modeling, incrementality measurement, hyperparameter optimization, and distributed model training using the Snowflake distributed trainers for XGBoost, LightGBM, and PyTorch. ML Jobs are defined in a code spec and submitted through the standard template approval workflow.
• Unregister templates and data offerings: You can now remove a registered template or data offering from a registry by calling UNREGISTER_TEMPLATE or UNREGISTER_DATA_OFFERING, as long as the resource isn't currently linked to a collaboration.
• General performance improvements and bug fixes.

With this release, Python files in Workspaces is now generally available.

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Artifacts in Snowflake CoWork are now generally available. An artifact is a persistent, live reference to a chart or table from an agent response that you can revisit, refresh under your own credentials, and share with a teammate who sees the same artifact filtered through their own data permissions.

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With this release, Adaptive Compute is generally available on Amazon Web Services (AWS). You can create Adaptive Warehouses or convert existing standard warehouses to an Adaptive Warehouse without downtime.

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The ACCOUNT_USAGE schema now includes a new CORTEX_AI_GUARDRAILS_USAGE_HISTORY view that provides visibility into the usage history of Cortex AI Guardrails.

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• Data metric function (DMF) FILTER clause (General availability)

Support for Azure Data Lake Storage Gen2 (Azure Data Lake Storage) for Apache Iceberg™ tables is now generally available.

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With this preview release, Cortex Agent evaluations include two new system metrics that measure how your agent uses tools:

• Tool selection accuracy (TSA) – Whether the agent's orchestration layer invokes the tools you expect for a given query.
• Tool execution accuracy (TEA) – Whether each tool that runs receives appropriate input and returns output that meets your requirements.

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The following updates are now available in Snowflake Data Clean Rooms:

• General performance improvements and bug fixes.
• Updates to private preview features.

• New ICEBERG_MERGE_ON_READ_BEHAVIOR parameter for Apache Iceberg™ tables (General availability)
• Deprecation: ENABLE_ICEBERG_MERGE_ON_READ

You can now set a default metadata write format at the account, database, or schema level so that CREATE TABLE and ALTER TABLE create Apache Iceberg™ tables without the ICEBERG keyword. This release includes the following capabilities:

• DEFAULT_METADATA_WRITE_FORMAT parameter to default new tables to the Snowflake table format or the Apache Iceberg™ table format.
• Automatic DDL promotion in catalog-linked databases so CREATE TABLE creates Apache Iceberg™ tables without the ICEBERG keyword.

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Support for connecting Snowflake to Google Cloud BigLake Metastore by using an Apache Iceberg™ REST catalog integration is now generally available. You can configure workload identity federation so Snowflake authenticates to Google Cloud without long-lived service account keys, then create a catalog-linked database to discover and query BigLake Iceberg tables from Snowflake.

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When you use catalog-vended credentials for Apache Iceberg™ tables, you can now configure outbound private connectivity so Snowflake accesses your cloud storage through a private endpoint instead of the public internet. You can enable private storage access by setting USE_PRIVATELINK_ENDPOINT = TRUE in the DEFAULT_STORAGE_CONFIG parameter of your catalog integration.

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With this release, Snowflake storage for Apache Iceberg™ tables is now generally available. This option lets Snowflake store and manage the Iceberg table files for you, so you don't need to set up access to external cloud storage.

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Optimized refresh is a new refresh mode for failover groups, now available in public preview. It makes account replication refreshes more efficient and predictable, and is especially valuable for customers who replicate a very large number of objects. You opt in per failover group by setting OPTIMIZED_REFRESH = TRUE on the primary failover group. The mode works with the same failover group SQL surface you already use, and replication, failover, and failback semantics are unchanged.

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With this release, Streamlit in Snowflake in Workspaces is now generally available.

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With this release, restricted caller's rights in Streamlit in Snowflake is now generally available. This feature requires Streamlit version 1.53.1 or later.

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