# Sifflet Reviews **Vendor:** Sifflet **Category:** [Data Observability Software](https://www.g2.com/categories/data-observability) **Average Rating:** 4.4/5.0 **Total Reviews:** 51 ## About Sifflet About Sifflet Sifflet is a business-aware data observability platform that moves data teams from reactive firefighting to proactive decision intelligence. Powered by an intelligent system of AI agents—Sentinel, Sage, and Forge—Sifflet autonomously detects anomalies, diagnoses root causes, and suggests code resolutions. By enriching technical alerts with full-stack lineage and downstream business usage, Sifflet allows data engineers and leaders to prioritize incidents based on business risk rather than technical severity. Trusted by industry leaders like Carrefour or Penguin Random House, Sifflet bridges the gap between data quality and business impact, ensuring your data is always safe for executive decisions and AI consumption. Learn more at siffletdata.com. ## Sifflet Pros & Cons **What users like:** - Users value the **efficiency improvement** from Sifflet's predictive alerts, enabling focus on actual incidents while reducing noise. (37 reviews) - Users value the **ease of use** of Sifflet, noting its quick implementation and seamless integration with various technologies. (36 reviews) - Users value the **effective monitoring capabilities** of Sifflet, enhancing proactive data issue identification and resolution. (36 reviews) - Users appreciate the **full visibility of data lineage** in Sifflet, enhancing data management and anomaly detection. (32 reviews) - Users benefit from the **intelligent alerting system** of Sifflet, which effectively predicts incidents and reduces unnecessary noise. (31 reviews) - Alerts (21 reviews) - Insights (21 reviews) - User Interface (21 reviews) - Automation (20 reviews) - Users praise Sifflet's **exceptional customer support** , highlighting quick responses and a proactive, individualistic approach to issues. (20 reviews) **What users dislike:** - Users find **limited customization options** frustrating, especially for bulk editing and managing multiple monitors simultaneously. (17 reviews) - Users find the **complex setup** of Sifflet challenging, requiring significant effort for onboarding and monitoring configurations. (11 reviews) - Users find the **alert management feature lacking** improvements, affecting their overall satisfaction with Sifflet. (10 reviews) - Users find the **limited integration options** of Sifflet a significant drawback for comprehensive data processing capabilities. (10 reviews) - Users find **lineage tracking confusing** in Sifflet, especially with complex architectures and numerous dependencies in models. (10 reviews) - UX Improvement (7 reviews) - Data Management Issues (6 reviews) - Limited Features (6 reviews) - Limited Flexibility (6 reviews) - Users report **integration issues** with Sifflet, particularly lacking support for Informatica cloud, despite fast progress. (5 reviews) ## Sifflet Reviews ### 1. Sifflet Delivers Fast, Seamless Data Observability with Clear Dashboards **Rating:** 4.5/5.0 stars **Reviewed by:** Luciana S. | IT Manager , Health, Wellness and Fitness, Mid-Market (51-1000 emp.) **Reviewed Date:** May 15, 2026 **What do you like best about Sifflet?** 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 **What do you dislike about Sifflet?** 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 **What problems is Sifflet 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 ### 2. Sifflet’s AI-Powered Data Observability with Strong Lineage and Seamless Integrations **Rating:** 4.5/5.0 stars **Reviewed by:** Rinalon E. | Threat Intelligence Manager, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 13, 2026 **What do you like best about Sifflet?** 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 **What do you dislike about Sifflet?** 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 **What problems is Sifflet 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 ### 3. Flexible, Unified Platform for Data Reliability and Observability **Rating:** 4.5/5.0 stars **Reviewed by:** Jouri Q. | Implementation Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 14, 2026 **What do you like best about Sifflet?** 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 Sifflet?** 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 Sifflet 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. ### 4. Smart Anomaly Detection with Key Improvements Needed **Rating:** 4.0/5.0 stars **Reviewed by:** Asta S. | Senior Data Analyst **Reviewed Date:** January 23, 2026 **What do you like best about Sifflet?** 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 Sifflet?** 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 Sifflet 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. **Official Response from Romain Doutriaux:** > Thank you for the detailed review! It is great to hear that Sifflet’s ML-based detection is successfully reducing alert noise for your dbt pipelines—that is exactly the goal of our Sentinel agent: to learn your data's unique patterns so you can focus on real issues rather than configuration. Regarding your feedback on bulk actions: We completely agree. As your monitor coverage grows, managing them individually becomes a bottleneck. We are actively working on this in our upcoming roadmap. Specifically, we have prioritized Bulk Snoozing for Monitors and Bulk Qualifications for False Positives to help you manage incidents and monitors at scale. We are also introducing Notification Templates to eliminate repetitive setup across multiple monitors. Thank you for recognizing how much the product has evolved, we are moving fast to bring you these scalability features soon! ### 5. Simplified Data Management with Sifflet **Rating:** 4.5/5.0 stars **Reviewed by:** Clément G. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2024 **What do you like best about Sifflet?** I love the ease of integrating Sifflet into our pipeline. The new features are quite regular, and I really appreciate being listened to as a client regarding our feature needs. The initial installation was very simple. **What do you dislike about Sifflet?** At our level of use, I see a possible improvement which would be to be able to interact with Sifflet directly via Slack commands. **What problems is Sifflet solving and how is that benefiting you?** Sifflet helps me to transmit the knowledge of data assets through the data catalog and the business glossary, which is a significant gain. It facilitates monitoring with daily alerts. The Sifflet team has thought of many use cases and allows for the creation of monitors in a fairly massive/automatic way for standard tests, and to perform much more customized tests via SQL (or via AI assistant). The ML-based monitors are also very useful. **Official Response from Romain Doutriaux:** > Thank you for the thoughtful review! We are delighted to hear that Sifflet is helping you successfully transmit data knowledge through the catalog and business glossary—bridging that gap between assets and business context is exactly why we built the platform. Regarding your suggestion about interacting with Sifflet directly via Slack commands: You hit on a key part of our vision. We are moving beyond simple 'alerts' toward two-way interaction. We are actively developing this capability as part of our Embedded Intelligence roadmap. Specifically, we are working on an MCP (Model Context Protocol) Server for Slack, which will allow users to query Sifflet agents, ask about incident status, and retrieve health details directly within your Slack channels, without switching contexts. In the meantime, our Q1 2026 Roadmap includes Enhanced Alerting with customizable templates to make the notifications you currently receive richer and more actionable,. We really value your partnership—please keep the feature requests coming! ### 6. Effective and fast **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Automotive **Reviewed Date:** May 11, 2026 **What do you like best about Sifflet?** Ease of use Speed Details for managing the links between objects **What do you dislike about Sifflet?** Lacks a bit of flexibility to be able to override the default fields that are completed by "magic" that is not exposed (example: being able to manually specify which stream feeds a link) **What problems is Sifflet solving and how is that benefiting you?** Dependencies on dead tables Dependencies in migration Verification of usage Management of data quality internally in Data and for the business ### 7. Outstanding Data Observability with Seamless Alerts **Rating:** 5.0/5.0 stars **Reviewed by:** Houda H. **Reviewed Date:** January 20, 2026 **What do you like best about Sifflet?** I use Sifflet for data maintenance and observability, and I find it particularly valuable for detecting problems like tracking day-by-day traffic to see if recent changes had a negative impact and notifications on fraud. I like that we have alerts on Slack which can be seen not only by the data team, so people concerned can start taking action to solve problems. I remember the initial setup being quick, and we were helped a lot by their team. **What do you dislike about Sifflet?** Nothing to report here **What problems is Sifflet solving and how is that benefiting you?** I use Sifflet for data maintenance and observability, detecting problems like traffic impact and fraud, and the alerts on Slack help everyone concerned take action promptly. **Official Response from Romain Doutriaux:** > Thank you for the great feedback! We are thrilled to hear that Sifflet is helping you proactively detect business-critical issues like traffic drops and fraud patterns—tying observability directly to risk and revenue is exactly what we aim for,. It is especially encouraging to hear that your stakeholders outside the data team are using Slack alerts to take action. Making data quality 'everyone's business' is a core part of our mission. To support this further, we are rolling out Enhanced Alerting features in our Q1 2026 Roadmap, which will include richer context and customizable templates to make those notifications even more actionable for business users. We are also glad to hear the initial setup was fast—we prioritize a 'plug and play' experience to ensure you see value from day one. Thank you for your partnership! ### 8. Proactive Data Monitoring, Minimal Disruptions **Rating:** 4.5/5.0 stars **Reviewed by:** Mess A. **Reviewed Date:** January 21, 2026 **What do you like best about Sifflet?** 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 Sifflet?** Nothing in mind. **What problems is Sifflet 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. **Official Response from Romain Doutriaux:** > Thank you for the fantastic review! We are delighted to hear that Sifflet has successfully helped your team transition from 'constant firefighting' to proactive monitoring—this shift from reactive to proactive is exactly what we aim to deliver. It is great to see you highlight 'more signal, less noise.' This is the core mission of our Sentinel agent, which is designed to learn your data's patterns so you only get alerted on what actually matters. We are also thrilled that our support team facilitated a quick setup; ensuring fast time-to-value is a top priority for us,. We look forward to helping you maintain that clear ownership and reliability across your pipelines! ### 9. Practical Addon, but Slow Support **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Mid-Market (51-1000 emp.) **Reviewed Date:** January 20, 2026 **What do you like best about Sifflet?** I like the fact that the Sifflet web addon allows easy access to information from Power BI. It is directly available, which means I don't need to access a new platform, as it opens directly with Power BI. **What do you dislike about Sifflet?** Things that sometimes seem basic do not work very well. Support is very slow, sometimes taking several months to get a fix. Easy to initialize, but clearly buggy in certain areas. **What problems is Sifflet solving and how is that benefiting you?** I use Sifflet for the centralization and access to knowledge in data governance. The web addon is convenient because it is available directly in PowerBI without requiring a new platform. **Official Response from Romain Doutriaux:** > Thank you for your transparent feedback. We are glad to hear that the Power BI web addon is successfully helping you access governance data without switching platforms—this concept of Embedded Intelligence is central to our vision of delivering trust signals directly where business decisions happen. However, we sincerely apologize for the frustration caused by bugs and support delays. We understand that for the platform to be useful, the 'basics' must work flawlessly. We are actively addressing these stability concerns in our Q1 2026 Roadmap: • UI & Stability Improvements: We have prioritized specific UI improvements and accessibility fixes to ensure the core platform is more responsive and reliable. • Faster Resolution: While we are optimizing our support processes, we are also launching an In-App AI Chat. This will allow you to get instant guidance on platform features and configuration, helping to bridge the gap and resolve 'how-to' blockers immediately. We are committed to improving both our product stability and our support velocity to match the value you are getting from the Power BI integration. ### 10. very delighted **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Services **Reviewed Date:** June 02, 2026 **What do you like best about Sifflet?** monitoring and easy to use, everything is accessible **What do you dislike about Sifflet?** hard to integrate and also random errors **What problems is Sifflet solving and how is that benefiting you?** monitor data models ### 11. Sifflet: Slick UI and Seamless Enterprise Integrations **Rating:** 4.5/5.0 stars **Reviewed by:** Sergei D. **Reviewed Date:** January 20, 2026 **What do you like best about Sifflet?** I like Sifflet's nice and slick UI, as it's not easy to master a tool like this. I also appreciate that enterprise integrations are working well; it seems like it has all the essentials baked-in, like SSO. It's a very smooth experience overall. From a user perspective, the initial setup was very easy and just works. **What do you dislike about Sifflet?** Maybe marketing is a bit too pushy **What problems is Sifflet solving and how is that benefiting you?** Sifflet helps with data ownership, stewardship, and governance. I occasionally use it to understand data lineage. **Official Response from Romain Doutriaux:** > Thank you for the great feedback! We are thrilled to hear that the UI and SSO integrations made for a 'smooth experience'—our goal is to make data observability accessible enough that it truly becomes 'everyone's business,' not just a tool for experts,. We also appreciate the honest note regarding our marketing—we will definitely take that feedback back to the team! Since you mentioned relying on Sifflet for governance and lineage, we wanted to highlight two major enhancements coming in our Q1 2026 Roadmap that directly support your use case: • Lineage V2: We are launching a complete revamp of our lineage interface. This will include new 'transformation' nodes and field-level health status, making it much easier to trace data flows and understand stewardship context at a glance. • Data Catalog Integration: To further support your governance work, we are releasing a General API to integrate deeply with data catalogs (such as Atlan). This allows you to automatically retrieve business terms, tags, and owners, ensuring your governance policies are inextricably linked to your data quality monitoring. We are committed to keeping the platform 'easy to master' while adding the depth you need for stewardship. ### 12. Easy to use Monitoring tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services **Reviewed Date:** March 31, 2026 **What do you like best about Sifflet?** I love how i can visually see the state of my data **What do you dislike about Sifflet?** It can get to a point where there is too much data too fast **What problems is Sifflet solving and how is that benefiting you?** Data Freshness and Observability, It helps me know if there is something wrong in my data pipeline ### 13. Ease of Use, Efficient Data Monitor **Rating:** 3.0/5.0 stars **Reviewed by:** Philippe G. **Reviewed Date:** January 20, 2026 **What do you like best about Sifflet?** I like the simplicity of Sifflet and the fact that it is easy to configure. I also appreciate that the monitors are easy to access and set up, which allows for monitoring if data is suddenly lost. **What do you dislike about Sifflet?** nothing **What problems is Sifflet solving and how is that benefiting you?** I use Sifflet to monitor the tracking differences of our clients' positions and quickly check if we are suddenly losing data, which is easy to set up. **Official Response from Romain Doutriaux:** > Thank you for the wonderful feedback! We are delighted to hear that Sifflet’s simplicity and ease of configuration are standing out for you. Catching 'sudden data loss' is exactly the kind of critical anomaly our Sentinel agent was designed to detect automatically, so you don't have to constantly check dashboards manually. Since you mentioned the value of 'quickly checking' your data health, we wanted to highlight a major enhancement coming in our Q1 2026 Roadmap that will make this even easier: • In-App AI Chat: You will soon be able to simply ask Sifflet questions like 'Did we have any data loss on client position tables today?' or 'What anomalies were detected in the last 48 hours?' to get instant answers without clicking through menus. We are committed to keeping the platform simple and powerful as we scale. Thank you for being a customer! ### 14. Sifflet for BigQuery Cataloguing **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** May 15, 2024 **What do you like best about Sifflet?** It allows an easy integration with BigQuery. Data Lineage is very useful to identify the different steps that made a table. Monitors are useful to detect anomalies, Sifflet helped us intercept early data issues and understand impact faster. Less noise, quicker triage. **What do you dislike about Sifflet?** It is not possible to limit scraping to some tables within a GCP dataset **What problems is Sifflet solving and how is that benefiting you?** Automation in cataloguing data and monitoring. **Official Response from Romain Doutriaux:** > Thank you so much for your positive feedback! We're thrilled to hear that Sifflet's integration with BigQuery, data lineage features, and monitoring capabilities are beneficial to you. Your feedback regarding the limitation of scraping within a GCP dataset is very valuable, and we are working on continuous improvements. If you have any further suggestions or questions, please feel free to reach out. We're here to help! ### 15. Its a very good data quality tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Construction **Reviewed Date:** March 11, 2026 **What do you like best about Sifflet?** Customized SQL queries, help to identify anomalies on functional data **What do you dislike about Sifflet?** It can be more user friendly, like introducing tool tip for each feature **What problems is Sifflet solving and how is that benefiting you?** Data Quality tool ### 16. Empowers Business Users and improve trust in your data **Rating:** 3.5/5.0 stars **Reviewed by:** Maxime C. **Reviewed Date:** January 21, 2026 **What do you like best about Sifflet?** I like the easiness to create monitors even for business users. **What do you dislike about Sifflet?** Some connectors are not very mature yet and it can have impacts on root cause analysis (lineage) **What problems is Sifflet 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. **Official Response from Romain Doutriaux:** > Thank you for your feedback! We are thrilled to hear that Sifflet’s ease of use is empowering your business users to create monitors independently—making data quality 'everyone's business' is a core part of our mission. Regarding your point on connector maturity and its impact on lineage: We fully understand how critical complete lineage is for effective Root Cause Analysis. We are actively working to close these gaps with significant updates arriving in our H1 roadmap: • Lineage V2: We are rolling out a complete revamp of our lineage interface, which includes new 'transformation' nodes and field-level health status to ensure better visibility even across complex integrations. • Deepening Integrations: We are releasing specific improvements to major connectors (including Databricks Jobs and Airflow OAuth support) to ensure links between tables and pipelines are captured more accurately. • Incident Context: we are also enhancing how lineage is displayed directly within the Incident Management screen to make root cause analysis faster and more intuitive. We are committed to maturing our ecosystem coverage to ensure you have the full picture when things break. ### 17. Powerful Data Observability for Modern Data Teams **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 30, 2025 **What do you like best about Sifflet?** - 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 **What do you dislike about Sifflet?** - Initial setup and configuration can be time-consuming, especially for complex data environments - Limited customization of certain dashboard visualizations and data lineage **What problems is Sifflet 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 ### 18. Detect Data Issues Sooner and Speed Up Triage with Sifflet **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** January 21, 2026 **What do you like best about Sifflet?** 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 Sifflet?** Not much, it is overall a great product. **What problems is Sifflet solving and how is that benefiting you?** Finding the relationships between different data sources and downstream dependants on it **Official Response from Romain Doutriaux:** > Thank you for the positive review! We are glad to hear that Sifflet is successfully helping you cut through the noise and speed up your triage process—rapid detection is exactly what we built our Sentinel and Sage agents to achieve,. Since you highlighted the importance of 'finding relationships between different data sources and downstream dependents,' we wanted to share that we are taking this visibility even further in our upcoming releases: • Lineage V2: We are rolling out a major upgrade to our lineage interface, which will include new 'transformation' nodes and field-level health status to make those dependencies even clearer. • Business Impact Analysis: We are introducing AI-generated impact assessments that will automatically identify exactly which downstream dashboards and business lines are affected by a specific incident. We are committed to giving you the full picture so you can resolve issues faster. ### 19. Powerful Multi-Dimensional Machine Learning Monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consumer Services | Mid-Market (51-1000 emp.) **Reviewed Date:** January 20, 2026 **What do you like best about Sifflet?** Multi-dimensional machine learning monitors **What do you dislike about Sifflet?** needs too much data knowledge - not friendly enough for non-tech users **What problems is Sifflet solving and how is that benefiting you?** Alerting fast on data quality problems and business kpis weird behaviors **Official Response from Romain Doutriaux:** > Thank you for your review! We are glad to hear that our machine learning monitors are successfully helping you catch 'weird behaviors' in your business KPIs—detecting those subtle shifts is exactly what our Sentinel agent was built for. We also hear you loud and clear regarding the learning curve for non-technical users. Making data observability accessible to everyone—not just engineers—is a major priority for us. We are launching specific features in our Q1 2026 Roadmap to solve this exact challenge: • In-App AI Chat: We are introducing a conversational assistant that allows users to ask plain-language questions like 'What anomalies were detected yesterday?' or get guidance on platform features. This will allow business users to get insights without needing deep data knowledge. • Data Product Insights: We are rolling out a new interface that focuses on 'Data Products' rather than raw tables, providing a simplified, business-friendly view of health and SLA status. We are committed to lowering the technical barrier so your whole organization can get value from Sifflet. ### 20. Using Sifflet as Analytics Engineer after several month **Rating:** 4.0/5.0 stars **Reviewed by:** Akim v. | Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 21, 2024 **What do you like best about Sifflet?** The UI and UX are pleasant to use. There are good integrations to work with different data stacks. The tool is responsive. There are wide configurations for monitors and what data quality checks we want to keep track of. The ability of the company to iterate quite rapidly to implement or improve features. **What do you dislike about Sifflet?** I can't say I do not love the following, but as we don't see the need to use them, I feel the data catalog and glossary are tools that are probably nice to have for some team, but in our case is completly useless. I do like the slack integration however I'm waiting for big improvements (templating and shape, to get more dense/lighter messages) on how the alerts are sent and hoping for auto-resolve. **What problems is Sifflet solving and how is that benefiting you?** This provides continuous alerts on data anomalies, with more or less granular configurations if required. Configuration of these monitors is relatively straightforward, through an interface that non-developers can understand. The results are interactive and graphically explicit enough to give a better picture of the problem encountered, and can be easily shared with other users. **Official Response from Romain Doutriaux:** > Thank you so much for your positive feedback! We're delighted to hear that you find Sifflet's UI and UX pleasant, and that our integrations and responsiveness meet your needs. Your insights on the data catalog and glossary, as well as your suggestions for improving our Slack integration, are invaluable. We continuously strive to enhance our product to better serve our users. If you have any further suggestions or questions, please feel free to reach out. We're here to help! ### 21. From traditional data quality to agile data oservability **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Glass, Ceramics & Concrete | Enterprise (> 1000 emp.) **Reviewed Date:** June 05, 2025 **What do you like best about Sifflet?** Rely on machine learning to discover data and catch data outliers, anomalies and trends. Ease of use + ease of Integration + ease of monitor implementation. **What do you dislike about Sifflet?** 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 Sifflet 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. ### 22. Very useful tool for Data Management **Rating:** 4.5/5.0 stars **Reviewed by:** Adrian R. | Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2024 **What do you like best about Sifflet?** We have worked with Sifflet for around 2 years now. That includes many teams from acorss our organization that work with data, or use data to make decisions. Issues are identified sooner from an Engineers perspective, we can proactively catch them and avoid awkward conversations with Stake Holders. The Customer Support is another massive benefit of working with this company, they offer great indibidualistic approach, quick responses/support. And are always looking to improve their product based on feedback. It's refershing after many companies do the exact opposite. **What do you dislike about Sifflet?** Lineage Tracking can become quite confusing at time, especiall with complicated architecture in Data Warehouses. **What problems is Sifflet solving and how is that benefiting you?** Helping completely track lineage across many data assets. The automated monitoring and slack messages are also great help and speed error catching. ### 23. A friendy user interface that could become more friendly with some improvements **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Electrical/Electronic Manufacturing | Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2024 **What do you like best about Sifflet?** Capacity to create&deploy DQ monitor rules easily from UI or using deploy as code module Capacity to add multiple tag values on any DQ monitor rules to facilitate filtering criteria based on those tags values, asset, severity values.. Capacity to use both search bar criteria (status of last DQ moniror runs combined with some predefined attributes such as severity, last run date..and free text to type to search for Monitor names). Capacity to pin any DQ monitor or Asset to get a bookmark access from Dashboard pane Capacity to get for each incidents the detailed list of compromised Dashboards (Power BI reports in our case) **What do you dislike about Sifflet?** Data lineage module should be enriched by adding to filter pane : - Capacity to expand in one click all assets linked to initial targeted asset in order to get a full picture of upstream and downstream linked assets. - Capacity to view for each existing DQ monitor type (ReferentialIntegrity, DuplicatePercentage..) corresponding consolidated number of incidents present on targeted asset and ideally from filter pane possibility to refine incident number per type of monitor run we want to highlight on targeted asset and also possibility to refine each consolidated DQ monitor incident type number per severity level. - On Incident module possibility to group into one incident multiple distinct DQ monitor alerts that are concerning same asset but on distinct columns for instance but applying to one common dimension value (country for instance) in order to mutualize all of these incidents into one unique ticketing creation process and root cause analysis to address to asset owner. - Possibility to put on hold or snooze mode recurring DQ monitor alert on same asset and same grouping dimension value that is repeating over and over again on a daily basis if error threshold value is quite identical from one day to another. **What problems is Sifflet solving and how is that benefiting you?** SIFFLET provides an unified platform to collect assets from distinct environment and technology (database, dashboarding solution) in order to check impact of any DQ monitor breach on all of our kind of assets and this analysis can be segregated per specific dimension such as country or solution. It provides also some data cataloging module to provide some semantic and business logic to our existing data asset. ### 24. Sifflet is a game changer for data observability! **Rating:** 4.0/5.0 stars **Reviewed by:** Bolade F. | Lead data analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2024 **What do you like best about Sifflet?** For me, the ease at which I can monitor my data freshness, quality and lineage is the game changer. The seamless integration with other technologies in our data analytics stack, especially dbt and Bigquery, makes it a useful addition to building a modern data stack in my company. It's also been really useful for our stakeholders to easily and quickly find their data assets and business terminologies and definitions. **What do you dislike about Sifflet?** For the purpose for which Sifflet was made, I'm yet to see a downside. **What problems is Sifflet solving and how is that benefiting you?** data governance ### 25. My Sifflet Story **Rating:** 5.0/5.0 stars **Reviewed by:** Yashwanth T. | Data engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 10, 2024 **What do you like best about Sifflet?** User interface Monitoring section Rules for consistency, completenes, accurecy Incident assign and resoultions **What do you dislike about Sifflet?** Not much but recently when we were trying sifflet we didnot see the query or code which broke that rules or the rows which failed to comply with that rules **What problems is Sifflet solving and how is that benefiting you?** Basically, Common data quality issues include missing values, duplicate records, incorrect data formats, inconsistent data values, outdated information, and data entry errors. Helpful in Identify the root causes of data quality issues by analyzing data sources, processes, and systems. Today we got immediate alert for one of the table went empty then we resolved the issue ASAP ### 26. Useful in spotting problems and setting multiple monitors **Rating:** 4.5/5.0 stars **Reviewed by:** Rodrigo S. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 10, 2024 **What do you like best about Sifflet?** I am a data engineer in charge of data quality in my company and, with Sifflet, I am able to perform multiple quality checks (nulls, seasonality patterns, invalid values...) very easily and quickly. So far, after a few days of usage, I have spotted a few problems (for instance, invalid regex) that were under the radar. **What do you dislike about Sifflet?** The main problem with Sifflet for me, is the number of available monitor templates, which can be overwhelming for new users. I would say the learning curve is rather steep for Sifflet. **What problems is Sifflet solving and how is that benefiting you?** Problems: - Data quality (assuring data conformity and compliance with business rules) - Data observability (make sure we process consistent volume of data daily for our import/export flows) Benefits (so far): - Spotting data problems (high number of null values, low volume of processed/ingested data) ### 27. Excellent Data Quality Took **Rating:** 5.0/5.0 stars **Reviewed by:** Siddarth K. | Experienced Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** May 14, 2024 **What do you like best about Sifflet?** Sifflet is a great tool that helps us keep tabs on our Data Assets efficiently. After implementing the tool into our Infrastructure, we've been able to keep spot issues quickly and fix them immediately. We've seen a steady decline in end user complaints about missing or errornous data. With the excellent tool, the team behind it has also been nothing short of supportive and patient with any queries or questions we have. **What do you dislike about Sifflet?** The only downside I see is that with the tool being quite fresh, a lot of changes stops the user from familiarising themselves with the product. But these changes make the product better in the long run...so not really a downside. **What problems is Sifflet solving and how is that benefiting you?** - Spotting Issues in the Data Pipeline before it's visible by the Data End user - Ensuring certain calculated metrics are propagated similarly along different branches in the pipeline **Official Response from Romain Doutriaux:** > Thank you so much for your positive feedback! We're delighted to hear that Sifflet has helped you efficiently monitor your data assets and reduce end-user complaints. It's great to know our tool and team have been supportive and beneficial to your operations. We appreciate your patience with the frequent updates, and we're committed to making continuous improvements. If you have any further suggestions or questions, please feel free to reach out. We're here to help! ### 28. Data quality game changer **Rating:** 4.5/5.0 stars **Reviewed by:** Sriharsha G. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 14, 2024 **What do you like best about Sifflet?** It's been 6 months since we started using Sifflet. Multiple teams inside our company use Sifflet now. It has made us proactive in find out data issues instead of being reactive after data issue has been raised. Sifflet is game changer, we have been able to identify issues sooner, within a day or two and take actions to resolve it, potentially saving us revenue. One major aspect that Sifflet excels is in creating monitors that checks the discrepancy between tables. Sifflet is helping to build more trust in our data. In terms of ease of use - Some parts are intuitive, some parts took us some time to get used to. And last but not least, our interaction with Sifflet has been great. They are welcoming, knowledgeable. They support us whenever we have issues/questions. **What do you dislike about Sifflet?** There is a considerable amount of effort in getting onboarded to Sifflet. We need to create monitor/s for each of table/view instead of Sifflet auto-monitoring completeness, freshness, schema changes. At the same time, we have got overwhelmed many times with the number of alerts. We need to spend dedicated time everyday to make sure we mark the incident accordingly - False Positive, Fixed, Known Issue etc. So plan for it. This sentence is probably limited to Bigquery and how queries are written in our company - Lineage isn't still complete. It has got better from the time we started, but still can't see all the tables in it. **What problems is Sifflet solving and how is that benefiting you?** Data Quality and Observabililty. We have been able to identify Data Quality issues as soon as it happens ### 29. A core component of our Data Strategy and Transformation **Rating:** 5.0/5.0 stars **Reviewed by:** Sami R. | Director of Data, Mid-Market (51-1000 emp.) **Reviewed Date:** April 12, 2024 **What do you like best about Sifflet?** Sifflet is more than just data observability, sure that is the bread the butter. What I love is all the additional functionality such as the lineage, catalog, glossary and chrome extension. How Sifflet for me does this best is the deep interconnectivity of all these assets. I can start on place and deep dive and explore all the different elements and facets of a Data Product. What I've found in my deployment is it has allowed different profiles of users from engineer, scientist, salesperson, marketer, journalist to better start in the area of observability/governance they are more comfortable with and learn what else is associated. It has deeply boosted our data quality and unity efforts. We've labelled Sifflet our Data Library, because thats the powerful function it plays **What do you dislike about Sifflet?** Not a big issue but allowing to change the default role when signing up! Users get granted the system default role when SSO logging for the first time then we re-assign once they're in **What problems is Sifflet solving and how is that benefiting you?** Sifflet has allowed us to better understand, identify, and solve data breakages and quality issues. We have improved our global incident management and error management by 167% within 6 working weeks. It has also aided in the knowledge management of different data assets and their relationships. We had a huge issue of single person dependency on knowledge of data until we got this tool. ### 30. A data observability tool with a lot of potential **Rating:** 3.5/5.0 stars **Reviewed by:** Mezzour I. | Data enginner data plateform, Enterprise (> 1000 emp.) **Reviewed Date:** May 22, 2024 **What do you like best about Sifflet?** - A simple interface - Metrics that we can easily calculate - Clear dashboards on the tool's usage - Top-notch service and support + good responsiveness to "bugs" - A clear roadmap that can adapt to needs **What do you dislike about Sifflet?** - Create metrics only through the graphical interface and not in "data observability as code" - A lineage that cannot be obtained by database - Many manual actions to perform in the graphical interface **What problems is Sifflet solving and how is that benefiting you?** - Rapid detection of anomalies in the data - Continuous monitoring of data quality - Easier root cause detection with lineage - Real-time identification of data errors - Reduction of downtime due to data issues **Official Response from Romain Doutriaux:** > Thank you very much for your positive comment! We are delighted to know that you appreciate the simple interface of Sifflet, the clear dashboards, as well as our service and responsiveness. Your remarks on possibilities for improvement, such as the automation of certain actions, are valuable to us. We are continually working to improve our product to better meet your needs. If you have other suggestions or questions, feel free to contact us. We are here to help you! ### 31. A powerful data monitoring tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Mid-Market (51-1000 emp.) **Reviewed Date:** April 25, 2024 **What do you like best about Sifflet?** Sifflet is a powerful data observability platform that lets you set up alerts on your data with just a few clicks. We implemented it a few months ago in our company and have been using it every day since. We can set up an infinite number of different monitors, forecasting the values of our data tables, customizable SQL monitors, ... and it's all very intuitive. It's very easy to integrate Sifflet into Tableau dashboards. This lets us know, for example, if the graphs we're looking at haven't been updated as expected. It's also very useful to be notified directly on slack or by e-mail in the event of an alert, rather than having to connect to the platform. **What do you dislike about Sifflet?** The Sifflet platform is still relatively young. As a result, there may occasionally be minor bugs. The Whistle team is very reactive to correct these bugs. These little bugs are really just a detail, and I've never encountered the slightest problem when setting up a monitor. **What problems is Sifflet solving and how is that benefiting you?** We use Sifflet to set up slack alerts in case of bad synchronization of our data and also to check some key metrics (alerts if this KPI goes below a certain threshold, alerts if a certain value doesn't behave as expected by machine learning, ...). ### 32. Intuitive data observability platform suitable across a business **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2024 **What do you like best about Sifflet?** - Intituitive to use - Very quick to implement new requested features - Works seamlessly with a variety of different technologies - Quick support via Slack with issues remedied quickly **What do you dislike about Sifflet?** Needs more flexibility when it comes to building rules as per monitoring - more language support and greater customisation in terms of what can be outputted. Would also be useful to have a hierarichal access to rules allowing for rules to be specific for certain parts of the business **What problems is Sifflet solving and how is that benefiting you?** Allows for rules to be applied on tables within Snowflake enabling the wider team be notified of any data quality checks. This saves a significant amount of time. **Official Response from Romain Doutriaux:** > Thank you so much for your positive feedback! We're thrilled to hear that you find Sifflet intuitive to use, quick to implement new features, and seamlessly compatible with various technologies. Your feedback on the need for more flexibility in building monitoring rules and hierarchical access is invaluable. We're continuously working on enhancing our product to better meet your needs. If you have any further suggestions or questions, please feel free to reach out. We're here to help! ### 33. A useful tool for the modern data stack **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** October 29, 2024 **What do you like best about Sifflet?** 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 Sifflet?** Some integrations could be stronger - for example, some dbt lineages are not always fully accurate, many api calls to Looker **What problems is Sifflet solving and how is that benefiting you?** - Data lineage - Monitoring data sources ### 34. one Year of Enhanced Data Quality and Literacy with Sifflet **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2024 **What do you like best about Sifflet?** What stands out most about Sifflet is its comprehensive approach to data quality and its powerful data catalog features. As a company deeply embedded in e-commerce and martech, the ability to swiftly identify and resolve data quality issues has transformed our operational efficiency. Sifflet's data catalog has been instrumental in increasing data literacy across our organization. This tool has fostered a robust self-service analytics culture that allows team members across departments to access and interpret data confidently and independently. It is used daily. The setup was straightforward and the platform integrated seamlessly with our existing tech stack, making it an indispensable part of our data management processes. Sifflet's team significantly enhances our experience; their proactive engagement and excellent support make them a true success partner. From smooth onboarding to leveraging the platform's capabilities fully, their commitment to our needs boosts our confidence and contributes to our growth in the competitive e-commerce and martech space. **What do you dislike about Sifflet?** While Sifflet offers a plethora of advantages, one area that could see improvement is the user interface, which can be a bit overwhelming for new users due to the depth of features offered. A more intuitive design or enhanced onboarding could help new users better navigate and leverage the platform's full capabilities from day one. **What problems is Sifflet solving and how is that benefiting you?** Sifflet is addressing several critical issues for us, primarily around data quality and accessibility. By effectively identifying and resolving data quality issues, Sifflet helps us maintain high standards for the accuracy and reliability of our data. This is crucial for an e-commerce and martech company like ours, where data-driven decisions can directly impact marketing strategies and customer engagement. Furthermore, Sifflet's robust data catalog capabilities are instrumental in enhancing data literacy within our organization. By providing a centralized system where data is easily accessible and understandable, Sifflet supports our self-service analytics culture. This empowers team members across different functions to access and utilize data independently, fostering a more data-driven environment and facilitating quicker, more informed decision-making processes. The proactive resolution of data issues and immediate identification of potential data problems have led to more efficient operations and reduced downtime. This directly benefits us by improving our operational efficiency and enabling us to make better-informed decisions with greater confidence, thus driving business growth and enhancing our competitive edge in the market. ### 35. An ergonomic tool that responds perfectly to the business and technical challenges of data quality **Rating:** 5.0/5.0 stars **Reviewed by:** Abelia P. | Enterprise (> 1000 emp.) **Reviewed Date:** April 26, 2024 **What do you like best about Sifflet?** A tool for different use cases (data quality, data catalog, etc.) **What do you dislike about Sifflet?** Integration still missing but progress is fast **What problems is Sifflet solving and how is that benefiting you?** Whistle alerts you to the various stages of data transformation so that the quality for the end customer is not altered. ### 36. Great for companies that wants to improve their data quality monitoring and observability. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** November 15, 2023 **What do you like best about Sifflet?** 1) Ease of use from Day One. Most of my team members find it easy to pick it up and apply it to their work. 2) We are lucky to have good customer success support, which faciliates learning and giving feedback. They have been responsive to our needs too. **What do you dislike about Sifflet?** 1) Sifflet is still quite a new tool, and the breadth of integration is still not there yet. 2) Most of the operations still require us to work directly on the UI, but it will be good if they start allowing more API-based use-cases. 3) As we want to introduce it to other users, perhaps better user-level access controls to allow for diverse users (beyond data team) might be helpful. **What problems is Sifflet solving and how is that benefiting you?** Get up to speed to start having data observability tools ### 37. Sifflet features **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Small-Business (50 or fewer emp.) **Reviewed Date:** September 10, 2024 **What do you like best about Sifflet?** The features that Sifflet offered was really good. **What do you dislike about Sifflet?** No support to integration with Informatica cloud **What problems is Sifflet solving and how is that benefiting you?** Data Quality issues ### 38. Sifflet **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Broadcast Media | Enterprise (> 1000 emp.) **Reviewed Date:** May 23, 2024 **What do you like best about Sifflet?** The way that you can easily visualise the whole data pipeline and explain where metrics come from easily **What do you dislike about Sifflet?** I've only been using Sifflet for a short time and haven't found any downsides yet **What problems is Sifflet solving and how is that benefiting you?** De-mystifying the data pipeline. I am the only analyst in my team, so being able to show the pipeline in a manner that is simple to understand really helps me communicate issues/projects more easily **Official Response from Romain Doutriaux:** > Thank you so much for your positive feedback! We're thrilled to hear that Sifflet is helping you visualize and demystify your data pipeline. It's great to know that our platform is making it easier for you to communicate complex metrics and projects within your team. If you have any questions or need further assistance as you continue using Sifflet, please don't hesitate to reach out. We're here to support you every step of the way! ### 39. Game changing for Cross Tool Visibility **Rating:** 5.0/5.0 stars **Reviewed by:** James M. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2024 **What do you like best about Sifflet?** The capability to take a resource and trace its lineage back to raw resources. **What do you dislike about Sifflet?** N/A - At the moment don't have any disklies. **What problems is Sifflet solving and how is that benefiting you?** Reducing time to RCA for debgugging. This reduces platforom downtime/increases platform uptime. ### 40. Simple set up and usable results quickly **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Restaurants | Mid-Market (51-1000 emp.) **Reviewed Date:** August 25, 2023 **What do you like best about Sifflet?** Simple to use Data quality monitors cover a wide variety of use cases, including writing your own SQL lineage gives you column level breakdown Domains and tags enable you to group like elements together Nice monitor dashboard Connectivity of monitors to mulitple communication tools. **What do you dislike about Sifflet?** Data quality monitors can tricky to parse setting up. You need to think through what you want to achieve. Limited ETL and BI sources but more are in the pipeline. **What problems is Sifflet solving and how is that benefiting you?** Most warehouses end up a spaghetti mess of inter-connected tables and views. Sifflet helps you see where a problem has occured and understand the knock-on affect into other tables. The monitors allow you to check data at the individual field level (is this value within an expected range?) to a more strategic level (is the volume of data processed in-line with average for the last x days?). The lineage enables you to dive into an issue and understand the contagion of a problem into other tables and into reporting. ### 41. Excellent tool for adding data quality checks, monitoring, data catalog and lineage **Rating:** 4.5/5.0 stars **Reviewed by:** Pallav S. | Data Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** March 12, 2023 **What do you like best about Sifflet?** Sifflet has a simple user interface and navigation with powerful functionality underneath. Lineage allows users to drill down into the relationship between tables and data assets and easily view the dependency graph for a given table or column. This makes it easy to understand the impact of data problems or outages. Best data lineage interface seen so far. Auto-coverage feature, apply monitoring rules to an entire schema in a few clicks, step-by-step documentation speeds integration, and integration covers most popular BI tools as a source. Also very active in adding new features and incorporating customer suggestions. **What do you dislike about Sifflet?** Nothing to complain about. They're still early in product development, so I'm expecting more features like how each code change affects data, and what happens to data and downstream dependent tables once the code is deployed, right in the pull request. **What problems is Sifflet solving and how is that benefiting you?** I was looking for a data observability solution that could list all data products, show lineage from source tables to user reports. Add data quality rules with minimal effort, detect anomalies and alert in a timely manner. Sifflet covers all of the above ### 42. A great tool for data lineage and cross platform overview **Rating:** 4.5/5.0 stars **Reviewed by:** Zornitsa Z. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 09, 2023 **What do you like best about Sifflet?** Sifflet is a great tool which provides full visibility of data lineage and dependencies across our organisation's data platform. It really covers everything - from where data comes from in Amazon S3, to how its transformed in dbt with different models and references, and how we surface it with our BI tool [QuickSight]. It is very useful that: - the tool can be connected to different data sources, it allows great visibility for the team; - it is the perfect start off tool for debugging and tracking dependencies; - it has ability to drill down into actual columns and see what each model has; - in our organisation we were able to integrate two different databases and monitor what is happening in both in parallel; - communication with the team at Sifflet has been amazing as well. The whole team is very helpful, communicates clearly about new features and really considers product feedback; **What do you dislike about Sifflet?** The biggest one is tracking lineage when you have a very big model with lots of dependencies. It would be helpful if that tracking can be made more simpler, or at least be considered if people have very coupled models in their platforms. **What problems is Sifflet solving and how is that benefiting you?** Main ones are: - tracking data lineage and dependencies easily - seeing relationships from multiple data sources ### 43. A cool data quality tool **Rating:** 4.5/5.0 stars **Reviewed by:** Henry C. | Mid-Market (51-1000 emp.) **Reviewed Date:** February 22, 2023 **What do you like best about Sifflet?** - You can see your datasources classified in sources, asset types, status and usage. - The UI is cool and really easy to use. - You can setup alerts using custom sql. - It has integrations with Postgres, Firebolt, Snowflake and other well known DB. **What do you dislike about Sifflet?** - The API is still in development, then you need to work in the web page to use the most of its features. - Since it is a tool relatively new, there is not too much community to ask for help (although I haven't found necessary yet) **What problems is Sifflet solving and how is that benefiting you?** To check problems in my data, for example if a field needs to be not null and suddenly it starts to be that way, I can be alerted in a short amount of time, and start to work in solutions. ### 44. Awesome sifflet **Rating:** 5.0/5.0 stars **Reviewed by:** harshith g r g. | Process Associate, Mid-Market (51-1000 emp.) **Reviewed Date:** April 18, 2023 **What do you like best about Sifflet?** Helps in data and meta data monitoring covering thousands of tables producing collaboration between engineers and consumers of the data. Perfect accuracy of the datasets are maintained. The organisation of data is clear and crisp which makes user to read it easily **What do you dislike about Sifflet?** I don't think I dislike anything on this since it helps us in monitoring the data assets, big chunks of data and also huge infrastructure in one place. Ensures the reliability of pipelines and observe some of the schema changes overall **What problems is Sifflet solving and how is that benefiting you?** Convenient to have data catalog along with data quality feature.Helps trouble shooting time by half and improvise the business users data observability Helps maintaining the data quality at scale ### 45. Peace of mind with your data **Rating:** 4.0/5.0 stars **Reviewed by:** Kenneth M. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 14, 2023 **What do you like best about Sifflet?** I like the confidence Sifflet gives our team when it comes to detecting anomalies in our data. **What do you dislike about Sifflet?** It would be great to have a connection into Castor for us to showcase our data monitoring where we have a majority of our documentation. **What problems is Sifflet solving and how is that benefiting you?** Sifflet is keeping us up to date with the most recent changes/updates to all our different data sources. This allows us to work with peace of mind knowing we will be alerted with any major changes/anamolies. ### 46. Very impressed with Sifflets capabilities **Rating:** 4.5/5.0 stars **Reviewed by:** Pierre T. | Enterprise (> 1000 emp.) **Reviewed Date:** March 09, 2023 **What do you like best about Sifflet?** The thing I really like about sifflet is being able to look at the lineage of my data. It's such an easy platform to spot dependencies. **What do you dislike about Sifflet?** For it's use case to me, I've not really found anything I don't like or would view as a negative. **What problems is Sifflet solving and how is that benefiting you?** Whenever there is a issue or I need to change anything upstream, it makes it dead easy for me to track depencies ### 47. Sifflet data visualisation tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** April 19, 2023 **What do you like best about Sifflet?** Sifflet data visualisation tool helped me to manage and monitor that data. I was able to find the anomaly in the data table using the sifflet. The lineage visualisation in the sifflet was helpful to find the problems in the data table and rectify it. **What do you dislike about Sifflet?** There's no major dislikes in this tool. As it's new tool there some features and functionality needs to improve and api support would be helpful for the developers. **What problems is Sifflet solving and how is that benefiting you?** Sifflet helped me to monitor the data and visualize the data. Sifflet lineage table view was helpful to find the problems in the data table and rectify it. Sifflet helped our organisation to manage data ### 48. A great platform to drive data at scale! **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Online Media | Mid-Market (51-1000 emp.) **Reviewed Date:** April 06, 2023 **What do you like best about Sifflet?** The best part about the tool is that it did not put us through an initial heavy configuration. It seamlessly integrates with major cloud environments. Helped to leverage ML based rules to detect anomalies in the data. **What do you dislike about Sifflet?** There was no available Hadoop and Elastisearch Integrations. This is one of the biggest drawbacks for people using it for major dataloads. Apart from that no issues with the tool. **What problems is Sifflet solving and how is that benefiting you?** It helped us with interacting with major workloads. Major benefit was integrations with S3 buckets to manage in the cloud data. The dashboard was unique with simple interaction. ### 49. A good experience **Rating:** 3.5/5.0 stars **Reviewed by:** Rim B. | Enterprise (> 1000 emp.) **Reviewed Date:** March 09, 2023 **What do you like best about Sifflet?** It is easy to learn how to use the platform, well documented **What do you dislike about Sifflet?** We need other functionality or maybe evolution on old ones **What problems is Sifflet solving and how is that benefiting you?** Checking the quality of supply chain data with the basic controls : duplicates, integrity, completness and freshness ### 50. Review **Rating:** 5.0/5.0 stars **Reviewed by:** Ma. Sabrina Sigrid Ann B. | Product Quality Vigilance (Combination Product) Analyst III, Mid-Market (51-1000 emp.) **Reviewed Date:** March 24, 2023 **What do you like best about Sifflet?** It's the automated monitoring coverage. It made the job easier. **What do you dislike about Sifflet?** none so far. I love the product! Made the job easier. **What problems is Sifflet solving and how is that benefiting you?** Using the templates. - [View Sifflet pricing details and edition comparison](https://www.g2.com/products/sifflet/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-12+13%3A20%3A56+-0500&secure%5Bsession_id%5D=21e81798-95ac-45d8-a6af-e2a4d44594c0&secure%5Btoken%5D=8464080cda6555d909824fdaab685028d06dcbb29b4d6003ff3545acaa450642&format=llm_user) ## Sifflet Integrations - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews) - [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews) - [Apache Airflow](https://www.g2.com/products/apache-airflow/reviews) - [Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews) - [BigQuery SSIS Components by Devart](https://www.g2.com/products/bigquery-ssis-components-by-devart/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [DataGalaxy](https://www.g2.com/products/datagalaxy/reviews) - [dbt](https://www.g2.com/products/dbt/reviews) - [Firebolt](https://www.g2.com/products/firebolt/reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [GitLab](https://www.g2.com/products/gitlab/reviews) - [Google Cloud](https://www.g2.com/products/google-cloud/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [Looker](https://www.g2.com/products/looker/reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - [Micro Strategies Inc.](https://www.g2.com/products/micro-strategies-inc/reviews) - [MySQL](https://www.g2.com/products/mysql/reviews) - [Oracle Analytics Cloud](https://www.g2.com/products/oracle-analytics-cloud/reviews) - [PagerDuty](https://www.g2.com/products/pagerduty/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [PowerBI for PureCloud](https://www.g2.com/products/powerbi-for-purecloud/reviews) - [PowerBI Tiles Pro](https://www.g2.com/products/powerbi-tiles-pro/reviews) - [Prefect](https://www.g2.com/products/prefect/reviews) - [Qlik Gold Client](https://www.g2.com/products/qlik-qlik-gold-client/reviews) - [ServiceNow App Engine](https://www.g2.com/products/servicenow-app-engine/reviews) - [Sigma](https://www.g2.com/products/sigma-ratings-sigma/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) ## Sifflet Features **Data Governance** - User Access Management - Dynamic Data Masking - Data Lineage **Functionality** - Monitoring - Alerting - Logging - Response Time - Reporting - Data Visualization **Management** - Hierarchy Management - Reference Data Management - Data Lineage - Metadata Management **Data Management** - Data Integration - Metadata - Self-service - Automated workflows **Functionality** - Real-time Analytics - Data quality monitoring - Automation - End to End visiblity **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Data Preparation** - Search - Data Quality and Cleansing - Data Transformation - Data Modeling **Functionality ** - Multi-Domain - Match & Merge - Relationship Mapping - User Interface **Security** - Data Governance - Data Masking **Analytics** - Analytics capabilities - Dasboard visualizations **Management** - Anomaly identification - Single pane view - Real-time alerts - Data lineage - Integrations **Agentic AI - Database Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Collaboration** - Commenting - Profiling and Classification - Business and Data Glossary - Metadata Management **Monitoring and Management** - Data Observability - Testing capabilities **Generative AI** - AI Text Generation **Artificial Intelligence** - Machine Learning Recommendations - Natural Language Query - Automatic Data Cleansing **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Agentic AI - Data Observability** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Natural Language Interaction - Proactive Assistance **Management** - Reporting - Automation - Quality Audits - Dashboard - Governance **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Machine Learning Data Catalog** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making ## Top Sifflet Alternatives - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) - 4.3/5.0 (522 reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - 4.4/5.0 (708 reviews) - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,019 reviews)