Sold by: Sifflet
Sifflet is the leading end-to-end data observability platform built for data engineers and data consumers. The platform includes data quality monitoring, metadata management, and a data catalog with deep lineage capabilities.
Overview
Sifflet is a data observability platform designed to create order and visibility within the modern data stack. With Sifflet, organizations achieve a data program that is organized, accessible, and solvable.
Organized: Sifflet provides a unified and governed platform for seamless collaboration among teams, guaranteeing thorough and consistent monitoring of data pipelines and assets, as well as providing visibility across teams.
Sifflet offers deep integration capabilities within the modern data stack, centralized documentation and lineage, and a powerful metadata search engine.
Accessible: Sifflet ensures that every user effortlessly interacts with the product in the most user-friendly manner possible, with the product's programmatic capabilities for technical teams, or through the UI for non-technical teams.
Data is easy to access with a simple UI that offers automated and intuitive functionality.
The data catalog feature ensures data is findable and searchable.
For engineers, they will find it is easy to connect Sifflet with coding workflows.
Solvable: Sifflet helps teams swiftly resolve and detect data anomalies, achieving the shortest time-to-resolution through comprehensive root cause analysis, and business impact assessment.
Pricing: For questions about pricing and custom contract options, please contact Sifflet directly.
Highlights
- Deep integration capabilities within the modern data stack, centralized documentation and linerage, and a powerful metadata search engine.
- Data catalog and intuitive UI for data findability and access.
- Quality monitoring and alerting detects data anomalies fast with root cause analysis functionality.
Details
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Features and programs
Financing for AWS Marketplace purchases
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/12 months |
|---|---|
Data Observability Platform Credits | $48,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Dedicated account manager and customer success engineer. Support is available through email, Slack, or Microsoft Teams. Contact us: https://www.siffletdata.com/contact Support email: support@siffletdata.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Observability
Comprehensive platform for monitoring and managing data quality across the entire data pipeline
Metadata Management
Centralized documentation with deep lineage capabilities and powerful metadata search engine
Integration Capabilities
Native integration support for modern data stack technologies and platforms
Anomaly Detection
Automated data quality monitoring with root cause analysis and swift anomaly detection mechanisms
Data Catalog
Searchable and findable data catalog with intuitive user interface for technical and non-technical users
Metadata Management
"Multi-cloud metadata management platform with comprehensive metadata graph for AI and data assets"
Data Lineage Tracking
"End-to-end lineage graphs tracking data journey across platforms, datasets, pipelines, charts, and dashboards"
Data Quality Monitoring
"Automated data quality checks with AI-powered anomaly detection for freshness, volume, and column statistics"
Search Capabilities
"Unified search experience across databases, data lakes, BI platforms, ML feature stores, and orchestration tools"
Governance Automation
"Automated lineage-driven compliance with continuous governance monitoring and documentation standards enforcement"
Data Profiling
Advanced data analysis and semantic understanding to detect potential data quality issues early
Data Lineage Tracking
Comprehensive knowledge graph creation to trace data sources, transformations, and dependencies
Data Contract Management
Automated creation and enforcement of data contracts with version control mechanisms
Governance Integration
Seamless integration with CI/CD pipelines for centralized data quality oversight and management
Environment Consistency
Profiling and differential analysis tools to maintain data integrity across multiple environments
Standard contract
No
Customer reviews
0 ratings
0 AWS reviews
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38 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Mathieu H.
Very Useful but Not Plug and Play
Reviewed on Aug 01, 2025
Review provided by G2
What do you like best about the product?
Sifflet’s strength is in how deep it goes. You get insight into every part of your pipeline, and it scales well across regions and departments. We use it to align our governance framework with actual data behavior, which is a huge benefit. Lineage, anomaly detection, rules — it’s all there.
What do you dislike about the product?
Setup was not easy for us. Took weeks to get all integrations running. There’s a learning curve, especially if your environment is complex. More tutorials or a sandbox mode would help new admins practice.
What problems is the product solving and how is that benefiting you?
Whistle helps us bridge the gap between our governance policies and how data actually flows in real-time. Before using Whistle, identifying anomalies or broken pipelines across departments was time-consuming and mostly reactive. Now we can detect and address issues proactively using monitoring and rules-based alerts. It has helped us standardize data behavior across teams, enforce governance automatically, and improve incident response time significantly.
Mohibullah H.
Solid Tool, Still Growing
Reviewed on Jul 29, 2025
Review provided by G2
What do you like best about the product?
The data freshness checks and automated anomaly rules help me make sure our reports are compliant with internal policies. I don’t need to chase people down anymore when something breaks. The alerts just pop into Slack, and it’s clear who owns what. I also appreciate the audit trail.
What do you dislike about the product?
Some of the UI feels a bit too advanced for casual users. I’ve had to walk some teammates through it. Also, I'd like to see tighter integration with Teams since not all of us use Slack.
What problems is the product solving and how is that benefiting you?
Helps enforce data freshness policies automatically, saving time and reducing manual follow-ups.
Information Technology and Services
Powerful Data Observability for Modern Data Teams
Reviewed on Jun 30, 2025
Review provided by G2
What do you like best about the product?
- Intuitive and user-friendly interface, accessible for both technical and non-technical users.
- Comprehensive end-to-end data lineage and impact analysis, making root cause identification fast and clear.
- Flexible integration with a wide range of data sources, warehouses, and BI tools.
- Automated metadata management and cataloging, streamlining data discovery
- Comprehensive end-to-end data lineage and impact analysis, making root cause identification fast and clear.
- Flexible integration with a wide range of data sources, warehouses, and BI tools.
- Automated metadata management and cataloging, streamlining data discovery
What do you dislike about the product?
- Initial setup and configuration can be time-consuming, especially for complex data environments
- Limited customization of certain dashboard visualizations and data lineage
- Limited customization of certain dashboard visualizations and data lineage
What problems is the product solving and how is that benefiting you?
Data Quality Issues Go Undetected: monitoring automatically detects anomalies, schema changes, and quality issues before they impact downstream users
Lack of End-to-End Data Lineage: Sifflet provides comprehensive data lineage (in some ways better than dbt), making it easy to trace data flows, dependencies, and impacts across the stack
Siloed Data Discovery and Poor Collaboration: the data catalog and discovery features centralize metadata, enabling better discovery and collaboration
Lack of End-to-End Data Lineage: Sifflet provides comprehensive data lineage (in some ways better than dbt), making it easy to trace data flows, dependencies, and impacts across the stack
Siloed Data Discovery and Poor Collaboration: the data catalog and discovery features centralize metadata, enabling better discovery and collaboration
Glass, Ceramics & Concrete
From traditional data quality to agile data oservability
Reviewed on Jun 05, 2025
Review provided by G2
What do you like best about the product?
Rely on machine learning to discover data and catch data outliers, anomalies and trends.
Ease of use + ease of Integration + ease of monitor implementation.
Ease of use + ease of Integration + ease of monitor implementation.
What do you dislike about the product?
a point to improve is to accelerate the training of the embeded machine learning module. Maybe sifflet team can be more reactive with this point and assist the client to reach quick result.
What problems is the product solving and how is that benefiting you?
monitoring data quality issues.
raise alerts when data pipelines fail to execute with success.
track data freshness and implement data quality rules.
raise alerts when data pipelines fail to execute with success.
track data freshness and implement data quality rules.
Financial Services
A useful tool for the modern data stack
Reviewed on Oct 29, 2024
Review provided by G2
What do you like best about the product?
Provides an easy way to get an understanding of your data landscape by seeing lineage and relationships between data sources, dbt data models and looker explores
What do you dislike about the product?
Some integrations could be stronger - for example, some dbt lineages are not always fully accurate, many api calls to Looker
What problems is the product solving and how is that benefiting you?
- Data lineage
- Monitoring data sources
- Monitoring data sources