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
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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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63 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.
Björn S.
Dependable Observability Without the Noise
Reviewed on Oct 01, 2025
Review provided by G2
What do you like best about the product?
Sifflet stands out because it doesn’t overwhelm you with irrelevant alerts. The dashboards are clean, and the signal-to-noise ratio is excellent. The incident timeline combined with monitor coverage gives our team immediate context to prioritize fixes. Setting up monitors for freshness and volume took less time than expected, and the built-in lineage view has helped us spot downstream risks early.
What do you dislike about the product?
Some visualizations could benefit from more customization options. For example, being able to group monitors by data domain would make reporting to leadership smoother.
What problems is the product solving and how is that benefiting you?
Before Sifflet, we relied on manual scripts that constantly broke and failed to catch silent data issues. Now we get proactive alerts when anomalies appear, along with clear uptime metrics that keep our stakeholders informed. This has cut down incident resolution time significantly and boosted overall trust in our reporting layer.
Freya C.
Powerful Data Observability Tool That Elevates Confidence
Reviewed on Sep 30, 2025
Review provided by G2
What do you like best about the product?
Sifflet provides a unified, 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. Real-time alerts are very actionable, enabling us to catch issues before they affect downstream reports or systems.
What do you dislike about the product?
The initial setup and integrations took longer than expected, especially for our complex environment. Some advanced rule configurations also required trial and error, and there were a few parts of the UI where more customization (e.g. dashboard layouts) would help.
What problems is the product solving and how is that benefiting you?
Before using Sifflet, we frequently reacted to data issues after they surfaced in reports. Now, problems are flagged proactively — this has boosted confidence in our BI outputs, reduced manual debugging hours, and allowed our data and analytics teams to focus more on deriving insights rather than firefighting.
Camille M.
Actionable Data Insights With Less Effort
Reviewed on Sep 29, 2025
Review provided by G2
What do you like best about the product?
Sifflet provides a level of transparency we didn’t have before. Consolidating anomaly detection, trend monitoring, and quality checks into one platform has eliminated the need to jump between multiple tools. The data lineage visualization is especially useful — it makes explaining data pipelines simple for both technical stakeholders and business teams. Real-time alerts also ensure accountability across the organization.
What do you dislike about the product?
The dashboards could use more customization. While the current widgets work well, being able to design role-specific views would make the experience even stronger.
What problems is the product solving and how is that benefiting you?
Our old approach to data quality was reactive — issues were usually flagged by end users after the fact. With Sifflet, we now catch problems proactively before they affect downstream reports. This shift has improved trust in our data, cut down on redundant fixes, and freed the analytics team to spend more time on strategic analysis rather than troubleshooting.
Miguel C.
Reliable Alerts Keep Our Data Flowing Smoothly
Reviewed on Sep 28, 2025
Review provided by G2
What do you like best about the product?
The incident alerts are timely and precise. I don’t need to keep refreshing dashboards — Sifflet notifies me instantly if a pipeline fails or if data freshness drops. The lineage view also makes it easy to trace where the issue originated.
What do you dislike about the product?
Sometimes the alert thresholds need fine-tuning. Out-of-the-box settings can be a bit noisy until you adjust them to your pipelines.
What problems is the product solving and how is that benefiting you?
Before Sifflet, we often discovered issues too late — after stakeholders already noticed missing or incorrect data. Now, we’re alerted in advance, fix problems faster, and maintain higher trust in our reporting systems.
Billy M.
Simplifies Data Monitoring for Busy Teams
Reviewed on Sep 27, 2025
Review provided by G2
What do you like best about the product?
The monitoring alerts are very actionable. Instead of vague error messages, we get clear details on freshness, volume, and schema changes. It’s easy to prioritize incidents based on severity, and the visual dashboards give management instant visibility into data health.
What do you dislike about the product?
The UI is overall clean, but the incident drill-downs could include a bit more historical trend context. That would make root cause analysis even faster.
What problems is the product solving and how is that benefiting you?
We used to rely on manual checks and scattered SQL scripts to monitor data quality. With Sifflet, the entire process is automated. It helps our team prevent bad data from reaching reports, saving countless hours and avoiding misinformed business decisions.