Sifflet Pricing Overview

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Free Trial

Enterprise

1001 Tables Per Year

Great for large, regulated or complex organizations

Core Data Observability & Catalog (Fundamental metrics: freshness, schema, volume, custom metrics...)

Business-Aware Lineage & Impact Analysis

Automated Root-Cause Analysis

AI-Powered Incident Management

Advanced Governance (RBAC, Audit logs...)

Data Observability Agent (Sentinel: monitoring suggestions)

SSO

Snowflake Data Sharing

Early Access to Upcoming Data Observability Agents (Sage: issue diagnostic, Forge: fix suggestions)

Pipeline Monitoring

Growth

1000 Tables Per Year

Perfect for cross-functional data teams

Entry

500 Table Per Year

Awesome for small (but mighty) data teams

Sifflet’s pricing model is designed for data-driven organizations seeking end-to-end observability across their modern data stack. We offer flexible plans :Entry, Growth, and Enterprise, to match your team's scale and complexity. Custom pricing is available for large teams with advanced needs. Every tier includes access to AI-native monitoring, automated lineage, and cross-functional collaboration tools. Sifflet stands out by combining technical precision with business context, delivering trusted data at scale.

Sifflet has 3 pricing editions. A free trial of Sifflet is also available. Look at different pricing editions below and see what edition and features meet your budget and needs.

Pricing information for Sifflet is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Sifflet must be conducted with the seller.

Pricing information was last updated on October 15, 2025

Pricing Insights

Averages based on real user reviews.

Time to Implement

1 month

Return on Investment

9 months

Average Discount

Perceived Cost

$$$$$

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Sifflet Pricing Reviews

(1)

Leandra C.

Lead Data Engineer

Mid-Market (51-1000 emp.)

11/8/2025

"Gaining Confidence in Our Data Pipeline with Sifflet"

5/5

What do you like best about Sifflet?

Sifflet gives us a unified and transparent view into our entire data pipeline. The anomaly detection, freshness checks, and lineage visualization work seamlessly together, so we no longer have to jump between multiple tools. The real-time alerts and clean dashboard have helped our team catch issues before they affect downstream reports. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

The initial setup in our complex environment took longer than we expected. Some integrations and custom monitor configurations required trial and error, and a few parts of the UI/dashboard customization could be improved. Review collected by and hosted on G2.com.

What problems is Sifflet solving and how is that benefiting you?

Earlier, our data quality issues often surfaced too late impacting business decisions and requiring emergency fixes. With Sifflet, we are now proactively monitoring data health, tracing root causes through lineage, and collaborating better across business and engineering teams. This has improved stakeholder trust, reduced incident response time, and freed up engineers for higher-value work. Review collected by and hosted on G2.com.