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Fabric Data vs Seeq comparison

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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 November 2026, in the Data and Analytics Service Providers category, the mindshare of Fabric Data is 1.0%, up from 0.5% compared to the previous year. The mindshare of Seeq is 1.6%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data and Analytics Service Providers Mindshare Distribution
ProductMindshare (%)
Seeq1.6%
Fabric Data1.0%
Other97.4%
Data and Analytics Service Providers
 

Featured Reviews

Arman Khachatryan - PeerSpot reviewer
Sr. Specialist Business Intelligence & Reporting at a financial services firm with 5,001-10,000 employees
Unifies ingestion, engineering, and reporting in one workspace; Copilot AI still maturing
Fabric Data's best features are automation and the engineering part of the data that I can handle on my own, and the company is now getting into the AI part, which I feel is still not the best, but there is a feature for that to come. The automation and engineering features stand out for me because they contain the Microsoft infrastructure, making it very easy to connect to various data sources, allowing me to ingest data even if it's not in my Azure Blob storage, such as from other SQL servers or any location, and it has extensive Power BI connectors that enable me to connect from almost anywhere, with a huge number of connectors to bring data from anywhere I need, join multiple sources together, and then provide my reporting on top of it.
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

"Fabric Data offers the best features by delivering a well-integrated, modern data engineering experience as a learning and certification platform."
"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."
"Fabric Data has positively impacted our organization as it has been our go-to tool for data integration with the help of Microsoft services."
"I have seen a return on investment that is highly notable; the solutions I am getting from transitioning traditional ETL solutions to Fabric Data are remarkable."
"Everybody should give Fabric Data a try because it is the easiest tool that I have ever used."
"The best features Fabric Data offers are its versatility, as you can use data fabric for many uses in one single platform."
"Fabric Data has positively impacted my organization by providing a unified platform for the entire data for the customer which we are working on."
"Previously, we were using Databricks for this, but we switched to Fabric Data because Fabric Data is more integrated, we don't need to shift our data from one tool to another, and all the processing and visualization can be done inside Microsoft Fabric Data."
"It's a great platform, a very powerful platform to work with."
"The initial setup is very easy. I've installed and upgraded Seeq in the remote agent service."
"Seeq only needed me to complete the task, so it saved other people's time, and it saved my time by being easy to use and thereby also saving money."
"Seeq is not a tool that requires a programming background; it's just a point-and-click tool for everyone, and the idea behind Seeq is democratizing data analytics for everyone."
"Seeq positively impacts my organization by enabling us to analyze significantly more data and use advanced analytic techniques that were previously reserved for programmers, opening that capability up to scientists who had no programming experience."
"For smart manufacturing applications only, we were able to save up to $10 million a year."
"The product is stable."
"Seeq has impacted our organization positively because now with Seeq training, we are able to put it out to more people."
 

Cons

"To improve Fabric Data, I suggest more integration with additional data sources and better integration for data agents."
"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."
"One thing regarding needed improvements is related to the free tier or trial capacity. When I was learning Microsoft Azure services, it was very easy to get credits and a free account, but in Fabric, it was inconvenient to get a free tier or trial capacity."
"I felt some features, particularly around the Dataflow Gen2 error handling and pipeline monitoring, lacked clear documentation at the time of my study."
"I believe Excel sheets have some issues when creating a data frame; however, JSON data works fine for Fabric Data. When using an Excel sheet, we need some extra libraries, and that feature would be useful because most e-commerce sites store data in Excel."
"I felt some features of Fabric Data, particularly around Dataflow Gen2 error handling and pipeline monitoring, lack clear documentation at the time of my study."
"I feel that the Copilot in Power BI is very weak; for example, if you power it with the cloud, it is much more powerful than the Copilot in Power BI, which I believe could offer much better insights since it is a Microsoft tool."
"Fabric Data can be improved because it tends to be run by Fabric Capacity, which is basically the compute cycles, and it is not very clear on how and what that is going to be used."
"Sometimes the software would be a bit slow to respond, and that may be because there were too many users at once."
"I believe Seeq can be improved because report rollouts on similar pieces of equipment can be challenging."
"In terms of needed improvements, for machine monitoring, we used to create our own software to conduct monitoring."
"The ease of working is an issue, as the user interface of Seeq looks a little bit more professional with an industrial look, and it can be made a bit more user-friendly if we compare it to the reliability of other packages like Tableau."
"I would say Seeq can be improved by including a feature where instead of just having the tag name, it is actually spelled out because it was difficult whenever we were trying to find certain things."
"Stability issues happen multiple times because it may be the on-premise tool issue."
"But customers who purchase Seeq and expect its dashboarding feature to be competitive with Power BI and Grafana might be disappointed."
"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."
 

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
15%
Financial Services Firm
12%
University
10%
Comms Service Provider
8%
Manufacturing Company
30%
Energy/Utilities Company
11%
Construction Company
9%
Outsourcing Company
8%
 

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...
 

Comparisons

 

Overview

Find out what your peers are saying about Fabric Data vs. Seeq and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.