--- title: Sifflet Reviews meta\_title: 'Sifflet Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 55 reviews by the users' company size, role or industry to find out how Sifflet works for a business like yours. aggregate\_rating: rating\_value: 4.3 review\_count: 55 scale: '5' date\_modified: '2026-08-07' parent\_category: name: IT Management url: https://www.g2.com/categories/it-management ---

# Sifflet Reviews & Product Details

Claimed

###### Profile Status

This profile is currently managed by Sifflet but has limited features.  
  
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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](https://www.g2.com/sellers/sifflet)
Discussions
[Sifflet Community](https://www.g2.com/products/sifflet/discuss)
Solution Type

All-in-One

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## Value at a Glance

Averages based on real user reviews.

### Time to Implement

2 months

### Return on Investment

13 months

[
View More Pricing Information
](https://www.g2.com/products/sifflet/pricing)

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## User Insights

Average based on 55 real user reviews.

Implementation Time

2 months

[Log in to unlock pricing and user insights](/login)

## Sifflet Integrations
(33)

What do users say about integrations?

Integration information sourced from real user reviews.

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Azure Synapse Analytics

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Databricks

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DataGalaxy

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dbt

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GitHub

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 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

GitLab

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Google Cloud

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Google Cloud BigQuery

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Slack

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Tableau

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Show More

 ![Verified User in Information Technology and Services](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Information Technology and Services")
UI

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

6/30/2025

"Powerful Data Observability for Modern Data Teams"

5/5

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Verified User in Financial Services](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Financial Services")
UF

Verified User in Financial Services

Mid-Market (51-1000 emp.)

1/21/2026

"Detect Data Issues Sooner and Speed Up Triage with Sifflet"

4/5

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. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Not much, it is overall a great product. Review collected by and hosted on G2.com.

What problems is Sifflet solving and how is that benefiting you?

Finding the relationships between different data sources and downstream dependants on it Review collected by and hosted on G2.com.

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Response from Romain Doutriaux of Sifflet

[Editedit](https://www.g2.com/survey_responses/sifflet-review-12239426/official_response/edit)

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.

Validated ReviewerIncentivizedSource: Seller invite

 ![Verified User in Consumer Services](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Consumer Services")
AC

Verified User in Consumer Services

Mid-Market (51-1000 emp.)

1/20/2026

"Powerful Multi-Dimensional Machine Learning Monitoring"

4/5

What do you like best about Sifflet?

Multi-dimensional machine learning monitors Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

needs too much data knowledge - not friendly enough for non-tech users Review collected by and hosted on G2.com.

What problems is Sifflet solving and how is that benefiting you?

Alerting fast on data quality problems and business kpis weird behaviors Review collected by and hosted on G2.com.

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Response from Romain Doutriaux of Sifflet

[Editedit](https://www.g2.com/survey_responses/sifflet-review-12236208/official_response/edit)

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.

Validated ReviewerIncentivizedSource: Seller invite

AV

Akim v.

Analytics Engineer

Mid-Market (51-1000 emp.)

5/21/2024

"Using Sifflet as Analytics Engineer after several month"

4/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Show More

Response from Romain Doutriaux of Sifflet

[Editedit](https://www.g2.com/survey_responses/sifflet-review-9678477/official_response/edit)

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!

9/10/2024
Current UserValidated ReviewerIncentivizedSource: Seller invite

 ![Verified User in Glass, Ceramics & Concrete](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Glass, Ceramics & Concrete")
AG

Verified User in Glass, Ceramics & Concrete

Enterprise (\> 1000 emp.)

6/5/2025

"From traditional data quality to agile data oservability"

4/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Show More

Validated ReviewerSource: Organic

 ![Adrian R.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Adrian R.")
AR

Adrian R.

Analytics Engineer

Mid-Market (51-1000 emp.)

4/30/2024

"Very useful tool for Data Management"

4.5/5

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. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Lineage Tracking can become quite confusing at time, especiall with complicated architecture in Data Warehouses. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Show More

9/11/2024
Current UserValidated ReviewerSource: Organic

 ![Verified User in Electrical/Electronic Manufacturing](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Electrical/Electronic Manufacturing")
AE

Verified User in Electrical/Electronic Manufacturing

Small-Business (50 or fewer emp.)

9/11/2024

"A friendy user interface that could become more friendly with some improvements"

4/5

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) Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Bolade F.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bolade F.")
BF

Bolade F.

Lead data analyst

Enterprise (\> 1000 emp.)

4/30/2024

"Sifflet is a game changer for data observability!"

4/5

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. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

For the purpose for which Sifflet was made, I'm yet to see a downside. Review collected by and hosted on G2.com.

What problems is Sifflet solving and how is that benefiting you?

data governance Review collected by and hosted on G2.com.

Show More

10/29/2024
Current UserValidated ReviewerSource: Organic

YT

Yashwanth T.

Data engineer

Enterprise (\> 1000 emp.)

9/10/2024

"My Sifflet Story"

5/5

What do you like best about Sifflet?

User interface

Monitoring section

Rules for consistency, completenes, accurecy

Incident assign and resoultions Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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9/16/2024
Current UserValidated ReviewerSource: Organic

 ![Rodrigo S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rodrigo S.")
RS

Rodrigo S.

Data Engineer

Enterprise (\> 1000 emp.)

9/10/2024

"Useful in spotting problems and setting multiple monitors"

4.5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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) Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

## Pricing Insights

Averages based on real user reviews.

### Time to Implement

2 months

### Return on Investment

13 months

[
View More Pricing Information
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Sifflet Comparisons

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Monte Carlo

4.3/5(536)

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Soda

4.4/5(55)

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Metaplane

4.8/5(116)

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##### 
##### Sifflet Features

Functionality

Real-time Analytics

Data quality monitoring

Automation

Management

Anomaly identification

Single pane view

Real-time alerts

Generative AI

AI Text Generation

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##### Categories on G2

[Data Quality](https://www.g2.com/categories/data-quality)[Database Monitoring](https://www.g2.com/categories/database-monitoring)[Master Data Management (MDM)](https://www.g2.com/categories/master-data-management-mdm)

[Data Quality](https://www.g2.com/categories/data-quality)[Database Monitoring](https://www.g2.com/categories/database-monitoring)[Master Data Management (MDM)](https://www.g2.com/categories/master-data-management-mdm)[DataOps Platforms](https://www.g2.com/categories/dataops-platforms)[Data Observability](https://www.g2.com/categories/data-observability)[Machine Learning Data Catalog](https://www.g2.com/categories/machine-learning-data-catalog)

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