Sifflet
UnclaimedAI-augmented data observability platform for reliable, trustworthy data across your organization.
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TL;DR - Sifflet
- AI-augmented platform for data observability, quality, and lineage.
- Automates data monitoring and anomaly detection to prevent issues.
- Provides a smart data catalog for discovery and trust across the data estate.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Reduces time spent on data reliability tasks for engineers and analysts.
- Automates monitoring and adapts without constant manual tuning.
- Provides full visibility and context for data assets, improving trust.
- Enables faster issue detection and root cause identification.
- Fosters collaboration and self-serve capabilities for data users.
Cons
- Not plug and play, implying some setup or configuration is required.
- User interface could be more friendly (based on one customer review).
Key Features
AI Agents for Data ObservabilityData Catalog with intelligent metadataData Quality Monitoring (out-of-the-box and custom)Automated Monitoring Coverage with AI recommendationsAnomaly Detection (freshness, volume, schema, distribution issues)Data Lineage (upstream, downstream, across data layers)Built-in SecurityLineage-based triage and diagnosis
Pricing Plans
Entry
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- Up to 500 assets monitored
- Great for small but mighty data teams
- Self-Serve/Marketplaces procurement process
- Core Data Observability & Catalog (Fundamental metrics: freshness, schema, volume, custom metrics...)
- Business-Aware Lineage & Impact Analysis
- Automated Root-Cause Analysis
- AI-Powered Incident Management
- Data Observability Agent (Sentinel: monitoring suggestions)
- SSO
- Snowflake/BigQuery/S3 Data Sharing
- Early Access to Upcoming Data Observability Agents (Sage: issue diagnostic, Forge: fix suggestions)
- Pipeline Monitoring
- SaaS Deployment Type
- Standard SLA & Support
- Guided Onboarding & Success Program
Growth
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- Up to 1,000 assets monitored
- Great for cross-functional data teams
- Sales-Assisted/Marketplaces procurement process
- Core Data Observability & Catalog (Fundamental metrics: freshness, schema, volume, custom metrics...)
- Business-Aware Lineage & Impact Analysis
- Automated Root-Cause Analysis
- AI-Powered Incident Management
- Data Observability Agent (Sentinel: monitoring suggestions)
- SSO
- Snowflake/BigQuery/S3 Data Sharing
- Early Access to Upcoming Data Observability Agents (Sage: issue diagnostic, Forge: fix suggestions)
- Pipeline Monitoring
- SaaS Deployment Type
- Priority SLA & Support
- Dedicated Onboarding & Success Program
Enterprise
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- 1,000+ assets monitored (scales flexibly)
- Great for large, regulated or complex organizations
- Direct Enterprise Sales or Channel procurement process
- 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/BigQuery/S3 Data Sharing
- Early Access to Upcoming Data Observability Agents (Sage: issue diagnostic, Forge: fix suggestions)
- Pipeline Monitoring
- SaaS/Hybrid/Self-hosted Deployment Type
- Enterprise SLA & Support (24/7, white-glove)
- Enterprise Onboarding & Success Program (including executive sponsorship)
About Sifflet
By Toolradar Team·
Sifflet is an AI-augmented data observability platform designed to help data teams ensure the reliability and quality of their data, while also empowering business users with trustworthy insights. It addresses common pain points like data engineers spending significant time on reliability tasks and analysts vetting data quality, by automating monitoring, detection, and resolution of data issues.
The platform integrates a data catalog, data quality monitoring, and data lineage capabilities, all augmented by AI. This allows users to explore, understand, and trust their data instantly by providing full context on every asset, including lineage, quality signals, schema changes, and usage. Sifflet aims to supercharge productivity, uplevel data reliability, and empower data ownership, ultimately removing obstacles to superior insights and value from data.
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Sifflet FAQ
What is Sifflet?
Sifflet is an AI-augmented data observability platform that helps data teams monitor, detect, and resolve data quality and reliability issues. It combines a data catalog, data quality monitoring, and data lineage to provide a comprehensive view of data health and ensure data trustworthiness.
How much does Sifflet cost?
Pricing information is not publicly available on the website. Users are encouraged to contact Sifflet for a demo or to get in touch for pricing details.
Is Sifflet free?
Based on the available information, Sifflet does not appear to offer a free tier. It is a paid enterprise solution, and interested parties are directed to contact them for product tours and demos.
Who is Sifflet for?
Sifflet is designed for data leaders, data engineers, and data platform teams who need to ensure data reliability, improve data quality, and enable data governance. It also benefits data users and analysts by providing trustworthy data for their insights and products.
Source: siffletdata.com