Sifflet
Data observability platform linking data health with business context
About Sifflet
Sifflet provides data observability, catalog and lineage features that monitor data quality across the stack and connect issues to business assets. It is used by data teams that want monitoring combined with documentation and impact analysis.
Common use cases
- Monitor data pipelines
- Document data assets
- Assess downstream impact
Products and services
Sifflet Data Observability Platform
Monitoring, lineage and cataloging in one product.
Key features
- Anomaly detection
- Field-level lineage
- Data catalog
- Monitoring as code
- Incident management
- Impact analysis
Integrations
- Snowflake
- dbt
- Tableau
- Looker
- Databricks
- Airflow
Sifflet alternatives
Monte CarloData and AI observability platform that detects data incidentsBigeyeData observability and quality monitoring for enterprise data pipelines
SodaData quality and observability with data contracts and AI-assisted checks
AcceldataData observability platform for monitoring data quality, pipelines and cost
FAQs
What does Sifflet do?
Data observability with lineage and a catalog.
Where is it based?
Paris, with a US presence.
How is it sold?
By subscription.
Work at Sifflet? Request updates to this profile. Update this profile
Compare with similar providers
All Data Governance providersAnomaloAutomated data quality monitoring for structured and unstructured data
AparaviData preparation platform that cleans and classifies enterprise data for AI
AtaccamaUnified data quality, governance and master data management platform
AtlanMetadata and data governance platform for discovery, lineage and AI context
ClaravineData standards platform for marketing and analytics data
CoginitiSemantic layer and analytics catalog for governed SQL and business logic