ML Feature Governance
Bring your feature stores into the same governance framework as the rest of your data.
Features Are Data Products Too
ML teams build feature pipelines, but nobody governs what goes into them.
Feature Sprawl
Hundreds of features across Feast, Databricks, Vertex AI, and SageMaker — with no central inventory or documentation.
No Quality Oversight
Bad features silently degrade model performance. There's no automated check for data drift, staleness, or schema changes.
PII Leakage Risk
Features derived from personal data often lack proper classification, creating compliance blind spots for regulated industries.
Feature Stores, Governed
Qarion connects to your feature stores (Feast, Databricks, Vertex AI, SageMaker) and catalogs every feature group alongside your databases, dashboards, and dbt models. Same governance, same lineage, same quality checks.
- Automatic feature group discovery from 4 major feature store platforms
- Feature-level metadata: value type, transformation SQL, aggregation window
- PII and sensitivity classification for every feature
- Lineage tracking from source tables → features → models
- Quality checks on feature freshness and value distribution
Govern Features Like Data Products
See how Qarion brings feature store governance into one unified platform.