Sifflet Reviews & Product Details

Sifflet is the control plane for Data and AI. Data teams spend too much time firefighting — bad data reaches the business before anyone catches it, root cause takes days, and the fix is invisible to the stakeholders who were burned. The result is a slow erosion of trust in every dashboard, report, and AI output the company relies on. We give data teams one layer that catches issues across the full stack, explains exactly where they came from, and shows how to resolve them — before the CFO sees the wrong number. Teams like BBC, Saint-Gobain, Euronext, and CMA-CGM use Sifflet to run reliable data infrastructure at enterprise scale — with coverage from legacy systems to modern cloud stacks. The result: fewer incidents, faster root cause, and data that can be defended in any meeting.

Seller

Sifflet

Discussions

Sifflet Community

Solution Type

All-in-One

Value at a Glance

Averages based on real user reviews.

Time to Implement

2 months

Return on Investment

12 months

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User Insights

Average based on 57 real user reviews.

Implementation Time

2 months

Sifflet Integrations

(32)

Integration information sourced from real user reviews.

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Thibault A.

Chef du service développement et données

Mid-Market (51-1000 emp.)

6/17/2026

"Intuitive interfaces and easy integrations, but ML models still need improvement"

3.5/5

What do you like best about Sifflet?

Proactive incident management, intuitive interfaces that allow sharing data responsibility with business units. Easy integrations with Databricks and PowerBI. Well-made documentation that makes integration via API easy. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

The ML model for modeling past event flow does not work well enough, with thresholds updating at the slightest deviation. Moreover, the ML model that describes the incidents is too tech-oriented and not high-level enough, and therefore not very useful for business purposes. Review collected by and hosted on G2.com.

Verified User in Restaurants

Mid-Market (51-1000 emp.)

Originally submitted 10/6/2026

"Wide Range of Monitor Types and a Great UI"

4.5/5

What do you like best about Sifflet?

There’s a wide range of monitor types you can set up, and the UI is really user-friendly and easy to navigate. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Sometimes it isn’t flexible enough for the kinds of checks I need. I tried a few times to set up a custom monitor because the standard ones didn’t do what I wanted, but I still couldn’t achieve it with a custom monitor. Review collected by and hosted on G2.com.

Luciana S.

IT Manager

Health, Wellness and Fitness

Mid-Market (51-1000 emp.)

5/15/2026

"Sifflet Delivers Fast, Seamless Data Observability with Clear Dashboards"

4.5/5

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

Rinalon E.

Threat Intelligence Manager

Information Technology and Services

Mid-Market (51-1000 emp.)

5/13/2026

"Sifflet’s AI-Powered Data Observability with Strong Lineage and Seamless Integrations"

4.5/5

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

Verified User in Consumer Services

Mid-Market (51-1000 emp.)

10/2/2026

"Easy to use great app!"

5/5

What do you like best about Sifflet?

Sifflet is easy to setup, especially with a lot of built in anomaly detection that doesnt require us to think of complicated ways to test the data sources Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Nothing in specific, I am satisfied with the use Review collected by and hosted on G2.com.

Jouri Q.

Implementation Engineer

Small-Business (50 or fewer emp.)

5/14/2026

"Flexible, Unified Platform for Data Reliability and Observability"

4.5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Verified User in Maritime

Enterprise (> 1000 emp.)

6/17/2026

"Proactive Data Quality Monitoring"

5/5

What do you like best about Sifflet?

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 Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Main drawbacks iare some limitations in customization and alert management. Review collected by and hosted on G2.com.

What problems is Sifflet 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 Review collected by and hosted on G2.com.

Clément G.

Data Analyst, Audit interne Groupe

Mid-Market (51-1000 emp.)

Originally submitted 4/30/2024

"Easy integration, powerful monitors"

4.5/5

What do you like best about Sifflet?

I appreciate the ease of integrating Sifflet into our data stack, and especially the great ease of creating monitors. The product remains relevant even after 2 years of use. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Honestly, I don't really see too many issues, maybe in the monitors being able to possibly qualify errors faster. Review collected by and hosted on G2.com.

Response from Romain Doutriaux of Sifflet

edit

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!

Asta S.

Senior Data Analyst

1/23/2026

"Smart Anomaly Detection with Key Improvements Needed"

4/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Response from Romain Doutriaux of Sifflet

edit

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!

Verified User in Consumer Services

Mid-Market (51-1000 emp.)

Originally submitted 1/20/2026

"Easy data observability"

5/5

What do you like best about Sifflet?

I find it particularly valuable for spotting issues, such as tracking traffic day by day to see whether recent changes have had a negative impact, as well as receiving notifications about fraud. I also like that we get alerts on Slack, which can be seen not only by the data team but by other people too, so they’re aware there’s an issue and can take the required action if needed. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

I think that monitor sections can be made clearer Review collected by and hosted on G2.com.

Response from Romain Doutriaux of Sifflet

edit

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!