DATA OBSERVABILITY & PIPELINE MONITORING
Vigil
Know the moment your data breaks — freshness, volume, nulls, distribution, uniqueness, and schema drift, monitored across every table.
Ships with a live demo warehouse — ~14,000 rows across 6 tables with realistic incidents planted, scored in seconds.
The problem
Bad data reaches dashboards and models before anyone notices — a stale pipeline, a partial load, a null-rate spike, a distribution shift, duplicate keys, or an upstream schema change. You find out from an executive, not an alert.
Our solution
Vigil connects to your warehouse read-only, learns what every table looks like when it's healthy, and alerts you at low, medium, and critical severity the moment a table drifts — with a trend chart, the likely cause, and suggested next steps. Incidents auto-resolve when the condition clears.
Key features
Six monitors, zero setup
Freshness, volume, null-rate, distribution, uniqueness & schema drift — baselines learned automatically
Severity like Sentinel
Low / medium / critical incidents, deduped and auto-resolved when fixed
Trend charts + root cause
Every incident shows the metric history, the baseline, and the likely cause
Schema-drift detection
Dropped, added, or retyped columns caught the moment they land
Connect your warehouse
BigQuery, Snowflake, Databricks & Postgres live today — read-only, with guided setup
Secure by design
TOTP 2FA, RBAC, encrypted secrets, strict CSP, audit log
How it works
Connect your warehouse
Add a read-only connection (e.g. BigQuery) in minutes.
Vigil learns & watches
It profiles every table's history and scans on a schedule.
Act before users notice
Triage incidents by severity with the trend and root cause in hand.
Pricing
Business
- ✓Up to 500 tables
- ✓All connectors
- ✓Scheduled scans
- ✓TOTP 2FA & RBAC
- ✓Audit log export
Enterprise
- ✓Unlimited tables
- ✓SSO & SCIM
- ✓On-prem / VPC deploy
- ✓Custom monitors & thresholds
- ✓Dedicated support