Releasesby GlyphSnowpipe Streaming: Event table monitoring
You can now monitor Snowpipe Streaming ingestion with event tables to check that data is arriving, identify processing delays, and investigate failures across your pipelines. Query ingestion events with SQL to track row counts, server-side latency, row and channel errors, and channel activity. Use these records to build dashboards and configure alerts.
Also shipped Sep 24, 2026Snowflake in September 2026 →
Alpha Changelog - 9/23/26
Hi everyone, here are the latest round of changes on alpha.midjourney.com . Many of these came directly from your feedback in #alpha-ideas-and-bugs . Please keep it coming! STYLE PREVIEWS We're experimenting with fast models in the interface.
New project activity feed
As part of our ongoing work to simplify the Netlify dashboard, we’ve added an activity feed to the project overview page. It’s available on all plans and adapts to how your project is set up.
Retool CLI
Live on cloud • Team • Business • Enterprise Public beta 4.62 Edge • Team • Business • Enterprise Public beta 4.34.4 Stable • Team • Business • Enterprise Public beta The Retool CLI is now available in public beta.
Buildkite Cache is now in public preview
Buildkite Cache is now available in public preview. It saves and restores files and directories across pipeline jobs and builds. Use it for package manager download caches, compiled dependencies, and other regenerable data to avoid repeating work.
Service principal Genie usage is billed at standard pricing
Genie usage by service principals is now billed at standard Genie pay-as-you-go pricing. Service principals are excluded from the free monthly usage allowance that applies to individual users. See Manage budgets and cost controls for Genie and Monitor and understand your Genie cost .
In the BigQuery Studio query editor, the Query results table now keeps the row numbers visible on the left as...
In the BigQuery Studio query editor, the Query results table now keeps the row numbers visible on the left as you scroll horizontally. This helps you maintain context and track data across wide tables. This feature is generally available (GA).
More from SnowflakeEvery Snowflake release →
DCM Projects capability updates
This release updates the availability of several DCM Projects capabilities. The following capabilities are now generally available: The following capabilities are now available in preview:
Snowflake Data Clean Rooms updates
The following updates are now available in Snowflake Data Clean Rooms:
CHECK constraints on hybrid tables (General availability)
With this release, hybrid tables support CHECK constraints . Previously, CHECK constraints were limited to standard tables and Snowflake-managed Iceberg tables, so a hybrid table workload had to enforce value-level rules in application code.
Snowpipe Streaming: Partitioned Apache Iceberg™ tables (General availability)
With this release, we're pleased to announce the general availability of Snowpipe Streaming support for partitioned Snowflake-managed Iceberg tables. You can now ingest data into both partitioned and non-partitioned Snowflake-managed Iceberg tables, including Iceberg v2 and Iceberg v3 tables.
VALUES clause is supported with dynamic table incremental refresh (General availability)
The VALUES clause is now supported with dynamic table incremental refresh in INCREMENTAL, AUTO, and ADAPTIVE refresh modes. You can use VALUES in the FROM clause to supply a constant set of rows, for example as a small lookup table that you join to a base table.
OpenAI GPT-5.6 and GPT-6 Astra models (General availability)
The following OpenAI models are now generally available in Cortex Inference:
Non-deterministic aggregate functions are supported with dynamic table incremental refresh (General availability)
Non-deterministic aggregate functions such as approx count distinct , approx percentile , and approx top k are now supported with dynamic table incremental refresh in INCREMENTAL, AUTO, and ADAPTIVE refresh modes. For incremental refresh, these functions are supported only in the SELECT clause. any value remains unsupported.
Improved data freshness for selected ORGANIZATION_USAGE history views
With this release, Snowflake has improved data freshness for the following premium views in the ORGANIZATION_USAGE schema. Typical data latency for these views is now under 15 minutes: