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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.
Reviews (50)
Maritime
Proactive Data Quality Monitoring
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
Sifflet is most helpful for proactively monitoring data quality, detecting issues early, and linking them to business impact, which helps teams prioritize and act faster
What do you dislike about the product?
Main drawbacks iare some limitations in customization and alert management.
What problems is the product solving and how is that benefiting you?
Lack of trust in data → ensures data quality and reliability across pipelines
Reactive firefighting → shifts teams to proactive issue detection with anomaly monitoring
No visibility on data flows → provides lineage and full-stack visibility to understand impacts
Alert overload / low prioritization → links technical issues to real business impact to focus on what matters
Reactive firefighting → shifts teams to proactive issue detection with anomaly monitoring
No visibility on data flows → provides lineage and full-stack visibility to understand impacts
Alert overload / low prioritization → links technical issues to real business impact to focus on what matters
Maritime
Great Error Alerts, But Not User-Friendly for Data Analysts
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
I like that it detects errors and sends them directly by email every day.
What do you dislike about the product?
From my perspective as a data analyst, it isn’t user-friendly enough, especially compared with what my company announced.
What problems is the product solving and how is that benefiting you?
I have data quality errors in my work, and it gives me a list every day so I can address them directly on my side.
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
Easy to use Monitoring tool
Reviewed on Mar 31, 2026
Review provided by G2
What do you like best about the product?
I love how i can visually see the state of my data
What do you dislike about the product?
It can get to a point where there is too much data too fast
What problems is the product solving and how is that benefiting you?
Data Freshness and Observability, It helps me know if there is something wrong in my data pipeline
Its a very good data quality tool
Reviewed on Mar 11, 2026
Review provided by G2
What do you like best about the product?
Customized SQL queries, help to identify anomalies on functional data
What do you dislike about the product?
It can be more user friendly, like introducing tool tip for each feature
What problems is the product solving and how is that benefiting you?
Data Quality tool
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.