Quality metrics go stale because profiling is too expensive to run often.
Data Profiling
Every active table is profiled on cadence across nine quality dimensions — sampled, cheap, and trusted.
Certify
Data quality signals are only useful if they're fresh and trustworthy. BoltPipeline profiles every active table at a cadence you control, samples to cap warehouse cost, and surfaces nine dimensions per column — completeness, freshness, PII flags, SCD readiness, and more.
What it solves
Common problems this capability removes from your engineering workflow.
Profilers ignore schema drift and silently corrupt their own metrics.
PII flags and SCD readiness live in a different tool from your pipelines.
Operators can't kick off an on-demand profile when something looks off.
How it works
The flow this capability runs end-to-end inside the platform.
- 1Sampling caps cost regardless of how big the table is.
- 2Every profile run also verifies the schema hasn't drifted since last check.
- 3Nine dimensions per column — null %, distinct count, PII, freshness, more.
- 4On-demand profiling is one click from any pipeline or table view.
Related capabilities
Other capabilities in the BoltPipeline platform that work alongside this one.
2Validation &
Schema Drift Detection
Catch schema changes the moment they land — classified by impact, tied to lineage, and shown across environments.
3Lineage &Asset Discovery
Three cooperating tasks keep your catalog fresh within five minutes and reconciled within twenty-four hours.
4Self-Healing RuntimeOperations Monitor
One sidebar item answers every on-call question — what's running, what failed, what drifted, what to fix first.
See it on your data.
Try BoltPipeline against your live database — your data never leaves your environment.