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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77 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.
Vihaan V.
A Reliable Data Observability Tool That Gives Us Full Visibility
Reviewed on Nov 14, 2025
Review provided by G2
What do you like best about the product?
Sifflet makes it incredibly easy to detect anomalies early, thanks to its automated monitoring and clean visual dashboards. The platform feels modern, fast, and intuitive even for team members who aren’t deeply technical.
What do you dislike about the product?
Some of the advanced alert configuration options have a learning curve, especially when handling complex pipelines, but once set up, they work flawlessly.
What problems is the product solving and how is that benefiting you?
Sifflet has significantly reduced data downtime and boosted trust in our analytics. Our teams now catch issues in minutes instead of hours, improving the accuracy of reporting across the entire organization.
Hadlee R.
Reliable Tool for Data Quality and Governance
Reviewed on Nov 13, 2025
Review provided by G2
What do you like best about the product?
Sifflet provides an end-to-end view of data health. The lineage feature is particularly powerful it clearly shows where an issue originates and how it impacts downstream systems.
What do you dislike about the product?
Pricing can feel high for smaller teams, though the overall value justifies the cost for enterprises handling large-scale data.
What problems is the product solving and how is that benefiting you?
It’s significantly reduced reporting errors and improved our audit readiness. We now trust our financial dashboards fully.
Jeffery R.
Comprehensive Data Observability with Smart Alerts
Reviewed on Nov 13, 2025
Review provided by G2
What do you like best about the product?
Sifflet gives us deep visibility into our data pipelines and proactively detects anomalies before they affect reports. The dashboard is intuitive, and the integrations with Snowflake and dbt are seamless.
What do you dislike about the product?
The alert settings can be slightly overwhelming for new users a guided setup wizard for different data teams would make it even easier to adopt.
What problems is the product solving and how is that benefiting you?
It saves hours of manual validation and helps us maintain trust in analytics. Our data team can now focus on improvement rather than firefighting errors.
Aurelia C.
Streamlined Our Data Workflows and Boosted Confidence
Reviewed on Nov 09, 2025
Review provided by G2
What do you like best about the product?
Sifflet has made managing data quality incredibly simple. The automated checks and alerting system help us detect inconsistencies instantly, without relying on manual audits. I also appreciate how well it integrates with our data warehouse setup took less than a day, and we’ve been running smoothly ever since. The lineage visualization is extremely useful for explaining data flow to business users.
What do you dislike about the product?
Honestly, not much to complain about. Sometimes, the refresh rate for larger dashboards could be a bit faster, but that’s expected with detailed monitoring tools.
What problems is the product solving and how is that benefiting you?
Before Sifflet, verifying data freshness across different sources used to take hours. Now, it’s automatic the tool notifies us if a data pipeline breaks or an update is delayed. It’s improved both speed and reliability of our reporting, which has been a major win for the analytics team.
Scarlette S.
A Smart Platform That Catches Data Issues Before We Do
Reviewed on Nov 09, 2025
Review provided by G2
What do you like best about the product?
Sifflet stands out for its proactive monitoring. It alerts us about potential data quality issues before they cause any disruption. I love the way it visualizes anomalies you can instantly see when and where something went wrong. The interface feels very natural, and setting up monitors for new data assets takes just a few minutes.
What do you dislike about the product?
The only downside is that the alert configuration panel could use a bit more flexibility for complex workflows. Still, it’s a small issue considering how much value we get overall.
What problems is the product solving and how is that benefiting you?
Before using Sifflet, identifying data drift or broken transformations was mostly reactive. Now, the system automatically flags irregularities and provides detailed insights so our engineers can respond faster. It’s improved trust in our analytics and reduced incident investigation time by nearly half.