Integration
Data Observability for Snowflake, Live in 15 Minutes
Monitor every Snowflake table for freshness, volume, schema, and anomalies, with metadata-first checks that barely touch your compute.
Alerted #data-eng 0.8s ago.
Downstream impact · consumers at risk
In one paragraph
Data observability for Snowflake means continuously monitoring your Snowflake tables for freshness, volume, schema changes, and anomalies, plus mapping lineage across your warehouse. Dataobservability connects to Snowflake with read-only access, reads metadata and information-schema statistics rather than scanning full tables, and alerts your team the moment data breaks, so your Snowflake compute cost stays low.
Why it fits
Snowflake teams on dbt who want monitoring without a six-figure contract or a big compute bill.
Metadata-first on Snowflake
We read account_usage and information_schema statistics, so monitoring barely registers on your warehouse credits.
Auto-monitors on every table
Freshness, volume, schema, and anomaly monitors generate across your Snowflake databases automatically.
Lineage across the account
Column-level lineage spans Snowflake schemas through to dbt and your BI tools.
Live in 15 minutes
Connect your warehouse and watch monitors generate across every table. Transparent pricing, no credit card.