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.
4.4
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 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
Sieuwerd K.
Excellent Data Quality Metrics Tool with Helpful Daily Alerts
Reviewed on May 17, 2026
Review provided by G2
What do you like best about the product?
This is an excellent tool for visualizing and managing data quality metrics, and the daily alerts are especially helpful. I really appreciate how much it has streamlined the way our team manages data-related work and collaborates on these matters across the organization.
What do you dislike about the product?
My experience has been incredible. It not only helps us manage our day-to-day operations—such as alerting the appropriate stakeholders—but also gives us more detailed analytical insights into data quality. I honestly have nothing negative to say.
What problems is the product solving and how is that benefiting you?
It helps us maximize efficiency and reduce development and maintenance costs by adding an overlay layer to our DBT systems. It also lets us trace data flows all the way from their source, which makes it easier to understand where data is coming from and how it moves through the system.
Luciana S.
Sifflet Delivers Fast, Seamless Data Observability with Clear Dashboards
Reviewed on May 15, 2026
Review provided by G2
What do you like best about the product?
Sifflet provides a robust data observability, mechanism, and this includes automated monitoring, of datasets, pipelines and others
The interface, more so the dashboard is completely understandable and there is no technical orientation needed
The procedure for anomalies detection is so fast and seamless, and this identifies any missing data and trends that are unlikely or unusual
Sifflet provides a significant insight on the root cause for any problem, where it uses BI tools and ensures proper troubleshooting
The integration with modern cloud apps is another robust feature and it connects with items such ad BigQuery and Looker
The sharing of any visibility and analytical reports is well done and this boosts collaboration
The interface, more so the dashboard is completely understandable and there is no technical orientation needed
The procedure for anomalies detection is so fast and seamless, and this identifies any missing data and trends that are unlikely or unusual
Sifflet provides a significant insight on the root cause for any problem, where it uses BI tools and ensures proper troubleshooting
The integration with modern cloud apps is another robust feature and it connects with items such ad BigQuery and Looker
The sharing of any visibility and analytical reports is well done and this boosts collaboration
What do you dislike about the product?
Small enterprises finds Sifflet an expensive solution that demands a hefty price or budget
Some false positives and too many alerts makes the application less efficient and appealing
Some false positives and too many alerts makes the application less efficient and appealing
What problems is the product solving and how is that benefiting you?
Sifflet is a helpful approach, that helps us in handling and identifying broken data pipelines, snd this makes business users more aware
The dashboard is very accurate and this brings accuracy in reporting for business proficiency
The app creates a robust trust in BI data and business analytics, and this increases the operational performance of a firm
The app is versatile in helping us identify any root cause for data inefficiencies and quality problems
Sifflet controls chances of data downtime, and this involves handling failed transformations
The app has impressive governance and this involves dependency in integrating with modern databases
The dashboard is very accurate and this brings accuracy in reporting for business proficiency
The app creates a robust trust in BI data and business analytics, and this increases the operational performance of a firm
The app is versatile in helping us identify any root cause for data inefficiencies and quality problems
Sifflet controls chances of data downtime, and this involves handling failed transformations
The app has impressive governance and this involves dependency in integrating with modern databases
Jouri Q.
Flexible, Unified Platform for Data Reliability and Observability
Reviewed on May 14, 2026
Review provided by G2
What do you like best about the product?
I like that it provides a unified platform for data reliability and for observing data flows. From an implementation perspective, I really appreciate the platform’s flexibility: it lets me adapt it to each organization’s specific architecture and operational requirements, instead of forcing rigid patterns.
What do you dislike about the product?
They adapt well to the needs of different teams, take a genuinely collaborative approach, provide 24/7 support, and cover the essential aspects of observability. Overall, I don’t have anything negative to say about them.
What problems is the product solving and how is that benefiting you?
We use it regularly to monitor, prioritize, and better understand data-related issues. It helps reduce tool sprawl and allows teams to manage data health effectively at an enterprise scale, which has noticeably simplified our day-to-day work.
Rinalon E.
Sifflet’s AI-Powered Data Observability with Strong Lineage and Seamless Integrations
Reviewed on May 13, 2026
Review provided by G2
What do you like best about the product?
Sifflet issues remarkable data observability measures, and this guide team members with brilliant data monitoring mechanisms
Sifflet is resourceful in automated threats or anomalies detection and this eliminates manual data monitoring
The app has robust end to end lineage, something that helps in tracing data from their servers or sources
The interface for Sifflet is modern, very accessible and both technical and non technical users work with the app
Sifflet has powerful AI monitors and this ensures no noisy alerts when identifying a particular data trend
The integration with modern data sources is a paramount feature and this ensures high analytical workflow
Sifflet is resourceful in automated threats or anomalies detection and this eliminates manual data monitoring
The app has robust end to end lineage, something that helps in tracing data from their servers or sources
The interface for Sifflet is modern, very accessible and both technical and non technical users work with the app
Sifflet has powerful AI monitors and this ensures no noisy alerts when identifying a particular data trend
The integration with modern data sources is a paramount feature and this ensures high analytical workflow
What do you dislike about the product?
Sifflet requires a solid alert configuration, something that demands a technical understanding of the app
Some reports are not appropriate or they are false and they lead to a noisy experience
Some reports are not appropriate or they are false and they lead to a noisy experience
What problems is the product solving and how is that benefiting you?
We use Sifflet to detect data quality problems, something that identifies missing values, schema drift, and broken pipelines before the impact is too much
The automated anomaly detection is something that eliminates the manual struggles and this guides in data heath checks
Sifflet is a helpful tool that gives the root cause of any data problems through brilliant observability approaches
The analytical trends from the app are trusted and they use business intelligence to evaluate the effectiveness of data
collection and preparation
The reporting process has high accuracy and this involves the use of BI to evaluate multiple sources
The IT team and data engineers use this app to evaluate and monitor large databases
The automated anomaly detection is something that eliminates the manual struggles and this guides in data heath checks
Sifflet is a helpful tool that gives the root cause of any data problems through brilliant observability approaches
The analytical trends from the app are trusted and they use business intelligence to evaluate the effectiveness of data
collection and preparation
The reporting process has high accuracy and this involves the use of BI to evaluate multiple sources
The IT team and data engineers use this app to evaluate and monitor large databases
Brad R.
Seamless Data Source Connections with Proactive, AI-Powered Anomaly Detection
Reviewed on May 09, 2026
Review provided by G2
What do you like best about the product?
I really like the ability to connect different data sources. I also appreciate how the platform makes it easy to trace where data comes from and spot anomalies early, so we can identify issues before they affect our operations. I’d recommend it to any organization that works with large volumes of data and wants a more proactive approach to data management.
What do you dislike about the product?
I love the AI-powered anomaly detection—it works flawlessly. On top of that, the customizable metrics make it easy to set up more targeted monitoring.
What problems is the product solving and how is that benefiting you?
We mainly use it to monitor our organization’s data flows, and it has helped us significantly optimize our day-to-day workflow. It has eliminated the lag between detecting data issues and experiencing data loss. It has also given us clearer visibility into our projects across different platforms.