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From data chaos to data calm

Data quality monitoring, data catalog, and end-to-end lineage—all in one platform

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Sifflet product screen of Monitoring and Alerting
From data ingestion to consumption

Integrates with your modern data stack

Sifflet seamlessly integrates into your data sources and preferred tools, and can run on AWS, Google Cloud Platform, and Microsoft Azure.

See how to set up an integration
Data Catalog

The data you need, at your fingertips

Discover and understand your data assets easily with AI


For your technical teams
  • Assess your monitoring coverage
  • Stop duplicating assets
  • Always find the asset you need when you need it
  • Collaborate with your team


For your business teams
  • Understand the data behind the dashboards
  • Feel confident about your data-based decisions
  • Always find the asset you need when you need it
  • Collaborate with your team

What's included

Data assets search engine
  • Simplify data discovery thanks to smart sorting algorithms
  • Effortlessly manage data with LLM-assisted asset classification suggestions, including PII detection
Data assets source of truth
  • Learn about data through comprehensive and centralized metadata
  • Seamlessly build and maintain data documentation with continuous GenAI-based asset descriptions
  • Evaluate data in one click thanks to preview capabilities
  • Get all teams on the same page with a business glossary
Integration with data monitoring
  • Make data self-service safe with asset health status
  • Assess and refine monitoring coverage with filtering options

Build confidence in the quality of your data

Leverage AI-based monitoring with business impact


For your technical teams
  • Automatic monitoring coverage of your data assets
  • Catch any data inconsistencies as soon as they occur
  • ML and SQL data quality monitors
  • Configure once and benefit from adaptive learning of ML models


For your business teams
  • Ensure data reliability across the organization
  • Feel confident about your data-based decisions
  • Know when your data is experiencing quality issues
  • Never work with corrupt data again

What's included

LifeCycle monitoring
  • Empower business users with smart monitoring setup leveraging LLM
  • Detect anomalies continuously with Sifflet ML models
  • Maintain control and accuracy with optional manual setup and user feedback
  • Optimize monitoring coverage with AI-powered suggestions
  • Minimize  noise level with AI-based monitoring supervision
  • Implement programmatic monitoring setup and maintenance with Data Quality as Code (DQaC)
Monitors library
  • Access predefined templates to check data at field and table levels
  • Ensure both business impact and technical requirements are met with a wide range of monitors
Sifflet product screen of Monitoring and Alerting
Data Lineage

Break down data silos and ensure data quality


For your technical teams
  • End-to-end visibility into your data lifecycle
  • Assess business impact of data quality issues
  • Simplify root cause analysis and impact assessment
  • Prevent downstream issues
  • Swiftly onboard new users


For your business teams
  • De-risk data self-service
  • Break down data silos across teams

What's included

Comprehensive data asset dependencies mapping
  • Out-of-the-box lineage through integrations & SQL history parsing
  • Last mile dependencies mapping with declarative lineage
  • Column-level granularity
Optimized UI
  • Swift navigate, fold, and unfold lineage
  • One-click access to data asset context
  • Asset health status visibility
Extract capabilities
  • Lineage screengrabs
  • Export lineage as CSV

Secure by design

A platform built with security in mind to simplify compliance.

What's included

Product security features
  • SaaS or self-hosted deployment
  • Cross-IdP SSO support
  • RBAC
Platform security principles
  • Single tenancy architecture for state of the art isolation
  • No data alteration and least privilege policy
  • No data storage approach
Compliance certifications
  • SOC 2
  • ISO 27001
  • GDPR

"Sifflet ticked all of our boxes"

In addition to monitoring the quality and accuracy of the data assets, we were also looking to ensure the reliability of the pipelines, observe schema changes and other metadata-related metrics.

Laurent Tachet des Combes
Head of Data, Meero
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"Sifflet allows you to find and trust your data"

It is very convenient to have the data quality feature together with the data catalog. I think it’s a great combination: the data catalog allows you to find all the data you need and the data quality feature monitors our data flows, ensuring that the data we use is reliable at all times.

Marco Kleine-Böhme
VP Data & Analytics, jobvalley
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"A core component of our data strategy and transformation"

Using Sifflet has helped us move much more quickly because we no longer experience the pain of constantly going back and fixing issues two, three, or four times.

Sami Rahman
Director of Data, Hypebeast
Read the customer story