LAST_ALTERED freshness
Per-table thresholds; never SELECT rows from marts.
Technology · Warehouse
Snowflake
Freshness SLAs on Snowflake marts — same calm Watchdog queue as BigQuery + dbt.
The problem
Teams on Snowflake want operable freshness without adopting a noisy enterprise suite or reading table rows.
The outcome
VectorData watches INFORMATION_SCHEMA.LAST_ALTERED via the SQL API. Pair with dbt PR Data CI and BigQuery freshness for true multi-warehouse depth.
Live
Snowflake freshness
Live
BigQuery + dbt + PR CI
Ethos
Metadata-first, calm alerts
Capabilities
Multi-warehouse morning check
Snowflake and BigQuery land in one Fix-first queue.
dbt on Snowflake
PR Data CI works on run_results.json from dbt-snowflake.
Honest scope
Freshness Live; Snowflake cost spikes and deep lineage expand next.
- ✓Integration: /integrations/snowflake
- ✓Docs: /docs/integrations/snowflake
- ✓PR Data CI: /vectordata/data-ci
- ✓Freshness product: /vectordata/freshness
Related
Google BigQuery
Freshness and cost signals from BigQuery metadata — never your result rows.
Read →dbt Core & Cloud
Failed models and tests, grouped — not twenty Slack pings overnight.
Read →Slack alerts
One calm alert per root cause — routed where your team already works.
Read →Looker
Watch the BigQuery marts behind Looker before explores lie.
Read →