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Sifflet

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Ease of management
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User industry
  1. Information technology and software
  2. Banking and insurance
  3. Media and communications

What is Sifflet

Sifflet is a data observability platform that monitors data pipelines, tables, and key metrics to detect data quality and reliability issues. It is used by data engineering and analytics teams to set up automated checks, anomaly detection, and alerting across modern data stacks. The product emphasizes end-to-end visibility across ingestion, transformation, and consumption, with incident workflows and context to support troubleshooting. It typically connects to cloud data warehouses, BI tools, and orchestration/ELT systems to surface issues where they impact downstream reporting and operations.

pros

Broad observability coverage

Sifflet focuses on monitoring data health across pipelines, datasets, and business-facing metrics rather than only validating records at rest. It supports anomaly detection and rule-based checks to catch freshness, volume, schema, and distribution changes. This helps teams detect issues earlier and reduce time spent diagnosing broken dashboards and downstream jobs.

Alerting and incident workflows

The platform provides alerting mechanisms designed for operational response when data incidents occur. It adds context such as lineage and recent changes to help identify likely root causes. This operational layer is useful for teams that need to treat data reliability similarly to application monitoring.

Integrates with modern data stacks

Sifflet is designed to connect to common cloud data platforms and analytics tooling used in contemporary data environments. Centralizing monitoring signals from multiple systems reduces the need to build custom checks in each tool. This can be particularly helpful for organizations running multiple pipelines and stakeholder-facing reporting.

cons

Not an MDM system

Although it can surface data quality issues, Sifflet does not function as a master data management hub for creating golden records, stewardship workflows, or entity resolution. Organizations needing centralized master data governance typically require a dedicated MDM product. Using Sifflet alone will not address master data modeling and operational mastering requirements.

Limited as a full catalog

Sifflet includes discovery and context features that support troubleshooting, but it is not primarily positioned as an enterprise data catalog for broad governance use cases. Capabilities such as deep business glossary management, certification workflows, and extensive access governance may require complementary tooling. Teams expecting a catalog-first experience may find observability-first workflows more operational than governance-oriented.

Requires tuning and ownership

Anomaly detection and rule sets often need calibration to reduce false positives and align with business expectations. Effective use typically requires clear ownership for alert triage, incident response, and ongoing check maintenance. Without process maturity, teams may experience alert fatigue or inconsistent follow-through.

Plan & Pricing

Plan Price Key features & notes
Entry Not listed on official site — contact Sifflet Up to 500 monitored assets; Core Data Observability & Catalog (freshness, schema, volume, custom metrics); Self-serve/Marketplace procurement; SaaS deployment; Guided onboarding.
Growth Not listed on official site — contact Sifflet Up to 1,000 monitored assets; AI-powered incident management, RBAC/SSO, Data Observability Agent (Sentinel); Sales-assisted/Marketplace procurement; SaaS deployment; Priority support; Dedicated onboarding.
Enterprise Custom pricing (contact Sifflet) 1,000+ monitored assets (scales flexibly); Advanced governance (RBAC, audit logs), full deployment options (SaaS, hybrid, self-hosted); Enterprise SLAs (24/7, white-glove) and executive-level onboarding; Direct enterprise sales or channel.

Seller details

Sifflet SAS
Paris, France
2021
Private
https://www.siffletdata.com/
https://x.com/siffletdata
https://www.linkedin.com/company/sifflet/

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