Dataobservability

Integration

dbt Data Observability That Reads Your Manifest

Point us at your dbt project and we generate monitors and lineage from your manifest, adding always-on coverage that dbt tests alone cannot give you.

See how it works
SNOWFLAKE · PROD
247 tables |
Break a monitor:

Alerted #data-eng 0.8s ago.

Downstream impact · consumers at risk

INCIDENT #1042 OPEN · owner @you

In one paragraph

dbt data observability extends dbt tests with always-on monitoring. Dataobservability reads your dbt manifest to auto-generate freshness, volume, schema, and anomaly monitors on your models and sources, and builds column-level lineage from your project, so you catch breakages between runs and the failures you never wrote a test for.

// INTEGRATION

Why it fits

Analytics engineering teams who live in dbt and want coverage beyond hand-written tests.

Auto-monitors from the manifest

Every model and source gets monitored without you writing a single YAML test.

Beyond dbt tests

dbt tests check rules at run time. We add continuous, ML-tuned monitoring around the clock.

Lineage from your project

Your ref() graph becomes column-level lineage with downstream BI impact.

Live in 15 minutes

Connect your warehouse and watch monitors generate across every table. Transparent pricing, no credit card.