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Sifflet

Full-stack data observability platform combining data quality monitoring, lineage, and cataloging in a unified solution.

Data Quality observability quality lineage

Key Features

  • No-code monitors: Volume, freshness, schema
  • AI anomaly detection: ML-based thresholds
  • Custom SQL monitors: Flexible rule creation
  • Coverage scoring: Quality coverage metrics
  • End-to-end lineage: Source to BI
  • Column-level: Field-level tracking
  • Cross-platform: All data stack tools
  • Impact analysis: Change propagation
  • Auto-discovery: Automatic metadata harvest
  • Business glossary: Term definitions
  • Ownership: Data stewardship
  • Search: Find and understand data
  • Alerting: Slack, Teams, email
  • Incidents: Issue tracking and resolution
  • Comments: Collaborative troubleshooting
  • Reports: Quality dashboards

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