Snowpipe Streaming: Event table monitoring
UpdateUnverifiedAdded Sep 25, 2026
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.
Topics: SQL, Streaming, Data integration, BI, Observability
More Snowflake releases
Every Snowflake release| Date | Release | Type |
|---|---|---|
| Sep 24 | DCM Projects capability updatesunverified GA | GA |
| Sep 24 | Snowflake Data Clean Rooms updatesunverified Update | Update |
| Sep 24 | CHECK constraints on hybrid tables (General availability)unverified GA | GA |
| Sep 24 | Snowpipe Streaming: Partitioned Apache Iceberg™ tables (General availability)unverified GA | GA |
| Sep 24 | VALUES clause is supported with dynamic table incremental refresh (General availability)unverified GA | GA |
| Sep 23 | Non-deterministic aggregate functions are supported with dynamic table incremental refresh (General availability)unverified GA | GA |
| Sep 18 | Database roles in backups Update | Update |
| Sep 18 | Apache Iceberg™ tables: Partition evolution (General availability) GA | GA |
Also shipped on Sep 24, 2026
Snowflake in September 2026| Date | Company | Release | Product | Type |
|---|---|---|---|---|
| Sep 24 |  Midjourney | Alpha Changelog - 9/23/26unverified | Midjourney | Preview |
| Sep 24 |  Netlify | New project activity feedunverified | Netlify | Preview |
| Sep 24 |  Retool | Retool CLIunverified | Retool | Beta |
| Sep 24 |  Buildkite | Buildkite Cache is now in public previewunverified | Buildkite | Preview |
| Sep 24 |  Databricks | Service principal Genie usage is billed at standard pricingunverified | AI/BI and Genie | Pricing |
| Sep 24 |  Google Cloud | In the BigQuery Studio query editor, the Query results table now keeps the row numbers visible on the left as...unverified | BigQuery | GA |
Sources: each vendor's own release notes, changelogs and GitHub releases, read daily to monthly by how often it posts. Logos via logo.dev; trademarks belong to their owners.