Das Problem

ML Features sind ein Governance-Blindspot

ML Feature Stores sind schnell wachsende Daten-Assets, aber die meisten Governance-Tools ignorieren sie.

Fehlende Feature-Dokumentation

Features fehlt oft der geschäftliche Kontext.

No Qualität Oversight

Bad features silently degrade model performance. There's no automatisiert check for data drift, staleness, or schema changes.

Qualitäts-Kettenreaktionen

Features derived from personal data often lack proper classification, creating Compliance blind spots for regulated industries.

Die Lösung

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 Qualitätsprüfungen.

  • Automatische Entdeckung und Katalogisierung von Feature Store Assets
  • End-to-End Lineage: Rohdaten → Features → Modelle
  • Qualitäts-Scores und Trendverfolgung pro Feature
  • Herkunft tracking from source tables → features → models
  • Qualität checks on feature freshness and value distribution
Feast
24 features
Databricks
18 features
Vertex AI
31 features
SageMaker
12 features

Govern Features Like Data Products

See how Qarion brings feature store Governance into one unified platform.