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.
4.5
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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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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 Quality Monitoring and Alerting
Detects data anomalies with root cause analysis functionality and alerting capabilities
Metadata Management and Search
Provides a powerful metadata search engine with centralized documentation and lineage tracking
Data Catalog
Offers data catalog with deep lineage capabilities for data findability and searchability
Modern Data Stack Integration
Supports deep integration capabilities within the modern data stack for seamless connectivity
Programmatic and User Interface Access
Provides both programmatic capabilities for technical teams and intuitive UI for non-technical users
Unified Search Across Data Stack
Search functionality that surfaces results across databases, data lakes, BI platforms, ML feature stores, and orchestration tools within a multi-cloud environment.
End-to-End Lineage Tracing
Lineage tracking capability that traces data journey across platforms, datasets, ETL/ELT pipelines, charts, and dashboards at table, column, and job levels.
AI-Powered Metadata Management
Metadata graph with AI-generated documentation, AI anomaly detection for freshness and volume metrics, and smart assertions for data quality monitoring.
Data Quality Monitoring and Observability
End-to-end observability with user-created data quality checks, freshness SLA monitoring, schema tracking, column quality assessment, and custom SQL evaluation through API.
Automated Governance and Compliance
Lineage-driven compliance classification, automated shift-left governance integration, continuous compliance monitoring with forms and impact analysis, and metadata harmonization across source systems.
Automated Data Contracts
Automatically creates and enforces data contracts to assign ownership and govern data quality with cross-team collaboration.
Data Lineage Tracking
Uses lineage tracking to build a comprehensive knowledge graph for understanding data flow and dependencies across the pipeline.
Proactive Data Quality Detection
Analyzes and profiles data to detect potential issues early through advanced analysis and semantic understanding before they impact operations.
Environment Consistency Validation
Provides profiling and environment diff tools to maintain data integrity across staging and production environments.
CI/CD Pipeline Integration
Integrates with CI/CD pipelines to oversee SLAs, manage governance, and provide full control and visibility over data quality management.
Standard contract
No
Customer reviews
Asta S.
Smart Anomaly Detection with Key Improvements Needed
Reviewed on Jan 23, 2026
Review provided by G2
What do you like best about the product?
I like that Sifflet learns from past data trends to predict what is normal and identifies what should be classified as an incident. This feature is really helpful because we only get alerts if the data behaves differently than it did in the past, reducing the noise and allowing us to focus on real problems.
What do you dislike about the product?
I can't bulk edit the tags and it would be nice to have more options to edit several monitors at the same time. At the moment these are very limited. It took some time and there were a lot of features not available at the beginning but the product has evolved a lot since we started using it.
What problems is the product solving and how is that benefiting you?
I use Sifflet to monitor my dbt pipeline for anomalies. It saves me from checking models individually as it highlights incidents, catching bugs like missing data. It also learns from data trends to predict normal behavior and reduce alert noise, helping focus on real issues.
Maxime C.
Empowers Business Users and improve trust in your data
Reviewed on Jan 21, 2026
Review provided by G2
What do you like best about the product?
I like the easiness to create monitors even for business users.
What do you dislike about the product?
Some connectors are not very mature yet and it can have impacts on root cause analysis (lineage)
What problems is the product solving and how is that benefiting you?
Sifflet helps detect data quality issues and sends alerts. I like the easiness to create monitors even for business users.
Mess A.
Proactive Data Monitoring, Minimal Disruptions
Reviewed on Jan 21, 2026
Review provided by G2
What do you like best about the product?
I use Sifflet to monitor data pipelines and table quality. Since bringing in Sifflet, we've been able to move away from constant firefighting. It helps us catch issues before they snowball, and because we have clear ownership across our pipelines, we aren't wasting time guessing who to pull in or how big the impact is. It's basically more signal, less noise. The setup was quick and facilitated by the Sifflet support team.
What do you dislike about the product?
Nothing in mind.
What problems is the product solving and how is that benefiting you?
I use Sifflet to monitor data pipelines and table quality, helping us to stop constant firefighting and catch issues early. It ensures clear ownership and signaling in our processes.
Financial Services
Detect Data Issues Sooner and Speed Up Triage with Sifflet
Reviewed on Jan 21, 2026
Review provided by G2
What do you like best about the product?
Sifflet allows us to detect data issues sooner and quickly understand their impact, cutting through noise and speeding up triage.
What do you dislike about the product?
Not much, it is overall a great product.
What problems is the product solving and how is that benefiting you?
Finding the relationships between different data sources and downstream dependants on it
Merlin H.
Finally Gained Executive-Level Trust in Our Data
Reviewed on Jan 20, 2026
Review provided by G2
What do you like best about the product?
As a CEO, I don’t need to see raw tables. I need confidence. Sifflet gives a clear, high-level view of whether our data can be trusted before it reaches leadership reports. The dashboards are easy to understand, and alerts surface issues before they affect business decisions. It bridges the gap between technical teams and executives extremely well.
What do you dislike about the product?
Some advanced configuration options still require engineering involvement. For executives, a few more out-of-the-box summaries would make adoption even smoother.
What problems is the product solving and how is that benefiting you?
Before Sifflet, I often questioned numbers during reviews—not because the team was careless, but because data issues surfaced too late. With Sifflet, we know the health of our data pipelines in advance. This has improved confidence in KPIs, reduced last-minute reporting delays, and allowed leadership to focus on strategy instead of data validation.