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Fabric Data vs Seeq comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Fabric Data
Ranking in Data and Analytics Service Providers
3rd
Average Rating
8.0
Number of Reviews
21
Ranking in other categories
No ranking in other categories
Seeq
Ranking in Data and Analytics Service Providers
2nd
Average Rating
8.2
Number of Reviews
26
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Data and Analytics Service Providers category, the mindshare of Fabric Data is 0.8%, up from 0.5% compared to the previous year. The mindshare of Seeq is 1.3%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data and Analytics Service Providers Mindshare Distribution
ProductMindshare (%)
Seeq1.3%
Fabric Data0.8%
Other97.9%
Data and Analytics Service Providers
 

Featured Reviews

PV
Data Engineer at IRT Dogotal ANlytics
Automation of complex data workflows has reduced processing time and improves project delivery
The best features Fabric Data offers include Fabric Data Shortcut as the main feature, and also the integration of all the components like ingestion, transformation notebooks, and the deployment pipeline for CI/CD, which are game-changing. The visualization features are also great, and the features Fabric Data offers are different. The feature I find myself using the most is the time travel feature because I mainly work with data transformation. Whenever bad updates happen, I use the time travel feature the most. There is a high concurrency feature that can be applied in pipelines; we just need to add the high concurrency tag, and the pipeline will not start a new cluster each time the notebook runs. Fabric Data will use the same cluster for the notebook run, and this feature is a game-changer. Fabric Data positively impacts my organization by bringing us more projects and work to do and also reduces the time significantly. Nearly 20 to 30 hours per week were reduced by using Fabric Data, and it is also very cost-optimized.
Suradech Kongkiatpaiboon - PeerSpot reviewer
Senior Process Engineer at Chevron
Centralized analytics has transformed time series optimization and collaboration across teams
In my opinion, the best feature Seeq offers is the ability to visualize time series data in an efficient way. If we code it by ourselves, it will take a very long time or require a lot of server capacity, and you cannot simply plot a time series of, say, 100,000 records on your own simply because it takes a lot of effort to do that. Analyzing it when we apply any formula or algorithm takes more time to finalize everything. Seeq does this through drag and drop and point and click actions. So, it is much easier to do it by using this tool. Seeq has positively impacted my organization because I see many people using it, compared to the past five years when we had only PI Vision for visualizing time series data. Manipulating time series data was such a critical task that not many people were familiar with and were afraid to do. This task remains a core critical function for everyone to do it efficiently in order to complete anything. Process optimization and reliability analysis would address all failure modes.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The best features Fabric Data offers are its versatility, as you can use data fabric for many uses in one single platform."
"Overall, I think Fabric Data is a very promising and modern analytics platform that simplifies end-to-end data workflows by bringing data engineering, analytics, and reporting together into a unified ecosystem."
"Fabric Data has positively impacted our organization as it has been our go-to tool for data integration with the help of Microsoft services."
"Fabric Data has positively impacted my organization as my company is a consultant company and we have implemented these projects for our clients."
"Fabric Data has impacted my organization positively because collaboration has been better and deployments have been faster."
"We have certainly saved a significant amount of time by switching from small-scale tools to Fabric Data, which has improved visibility and increased accuracy."
"The unified workspace is the biggest advantage I experienced while building those data pipelines and working with OneLake storage."
"Fabric Data offers the best features by delivering a well-integrated, modern data engineering experience as a learning and certification platform."
"For smart manufacturing applications only, we were able to save up to $10 million a year."
"Seeq has provided visibility to the key performance indicators and visualization of those critical pointers in our dashboards."
"AI is great in Seeq. You have a good feature that allows you to convert a Python algorithm built in Seeq Data Lab into a user-friendly interface."
"I like Seeq because it’s very useful for production surveillance. It provides detailed insights, like the ability to view data down to the minute, which is helpful for tracking when a well goes offline. This feature is particularly beneficial for our needs. However, we don’t use Seeq for predictive analytics; we handle that with other software."
"Based on my experience, I recommend using Seeq, especially if you need to visualize and monitor real-time data."
"Of course, when data is processed correctly, all three outcomes—saving time, reducing downtime, and improving efficiency—are achievable."
"I love how easy Seeq is to use and how quickly you can build an analysis."
"Seeq has impacted our organization positively because now with Seeq training, we are able to put it out to more people."
 

Cons

"Speed is a factor which Fabric Data says and confirms they will improve. The data speed will improve, but it is not a significant improvement as per the capability of Fabric Data."
"There needs to be improvement in error handling and resource management because some of the documentation is not clear."
"I felt some features, particularly around the Dataflow Gen2 error handling and pipeline monitoring, lacked clear documentation at the time of my study."
"I think Fabric Data could be improved by adding more notebooks, even though it currently has one."
"The inability to monitor properly and having to build in fail conditions in pipelines, or navigate around it, was so painful that it is borderline unuseful for any large company in a production environment, and that would be at the top of my list."
"To improve Fabric Data, I suggest more integration with additional data sources and better integration for data agents."
"The main improvement I would like to see is more integration with other tools; for example, SAP integration should be there because there are more integration tools available in Azure Data Factory than in Fabric Data, and I would like to have more integrations in Fabric Data."
"I did encounter one challenge recently in Power Query editor where I had to perform the same amount of transformations for multiple reports, repeating the transformations for each row each time."
"The technical support services need improvement."
"As for improvements, I felt there should be a more efficient way to address repetitive customer questions, perhaps using chatbot technology to streamline responses."
"I would appreciate more detailed training beyond what we received during Seeq bootcamp, which is foundational."
"I believe Seeq can be improved because report rollouts on similar pieces of equipment can be challenging."
"However, the product is challenging to use given the multitude of features, and not everyone can immediately start using it, particularly on the administration side."
"But customers who purchase Seeq and expect its dashboarding feature to be competitive with Power BI and Grafana might be disappointed."
"Sometimes we face a performance issue in Seeq, like the server load getting increased."
"The solution does not break down, but there will be a delay in buffering or caching if you are caching data for more than ten years."
 

Pricing and Cost Advice

Information not available
"The solution's pricing is comparable to other products."
"The pricing is average."
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Top Industries

By visitors reading reviews
Manufacturing Company
17%
Financial Services Firm
15%
University
13%
Healthcare Company
8%
Manufacturing Company
27%
Energy/Utilities Company
12%
Construction Company
8%
Outsourcing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise16
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise20
 

Questions from the Community

What is your experience regarding pricing and costs for Fabric Data?
My experience with pricing, setup cost, and licensing is that pricing and those aspects are a different matter. It is not a concern for me because it matters to the client. Compared to other option...
What needs improvement with Fabric Data?
One area Fabric Data can be improved is the semantic model refresh. Though it says it is a direct link, the refresh times of the semantic model sometimes need explicit refresh. This takes a bit of ...
What is your primary use case for Fabric Data?
My main use case for Fabric Data is building data solutions for one of the retail firms in the US. I use Fabric to process source data, perform data processing, and provide analytical reports for e...
What needs improvement with Seeq?
I believe Seeq can be improved because report rollouts on similar pieces of equipment can be challenging. If Seeq had an easier way to modify our tag structure, then duplicating reports onto simila...
What is your primary use case for Seeq?
My main use case for Seeq is incident investigations. Upon unexpected quality results, incident investigations can start to determine where the incident first began occurring. Seeq allows the retro...
What advice do you have for others considering Seeq?
My advice to others looking into using Seeq is to pursue it. There are more opportunities with your own equipment than you know without examining them through the lens of Seeq. I would rate this pr...
 

Overview

Find out what your peers are saying about Fabric Data vs. Seeq and other solutions. Updated: June 2026.
908,834 professionals have used our research since 2012.