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Five checks that catch 90% of data quality issues.
Know the instant a table stops updating. Track staleness down to the minute across every dataset.
Catch volume anomalies — sudden spikes or drops vs. your rolling average.
Monitor null rates per column. Alert when they drift past your threshold.
Find duplicate rows on key columns before they corrupt downstream aggregations.
Detect column additions, removals, and type changes the moment they hit your DB.
Three steps. Five minutes. Done.
Add your Postgres connection string. Read-only access, encrypted at rest.
Pick tables, choose check types, set thresholds. Schedule or run on-demand.
Get alerted on failures with context. Review the daily health report over coffee.
Data Watchtower does one thing: monitor the quality of data already in your Postgres database. No warehouse migration. No dbt integration. No 200-page setup guide. Connect a read-only user, pick your tables, set thresholds, and get alerts when something breaks. If you have a Postgres database and a Slack channel, you can be running in five minutes.