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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

"The best features are that the entire ecosystem is inside Microsoft and it is under a SaaS platform."
"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 positively impacted my organization by decreasing the storage-level cost, and we now have different teams, including a data analytics team and a data engineering team, all on one platform, allowing us to directly check the data analytics part."
"Fabric Data has allowed us to change that and put the entire solution in one package and one environment, and that also makes things much more stable."
"Fabric Data has positively impacted my organization by providing a unified platform for the entire data for the customer which we are working on."
"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 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."
"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."
"Seeq has positively impacted my organization, and I can share a specific outcome where we have found a new metric on an important piece of equipment to raise the flag when it is underperforming."
"The predictive analytics features have been instrumental in catching excursions early, allowing us to monitor conditions proactively and prevent issues from escalating."
"I've used the prediction part to create different inferences in my industry."
"I recommend Seeq to others looking into using it because it is perfect."
"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."
"Of course, when data is processed correctly, all three outcomes—saving time, reducing downtime, and improving efficiency—are achievable."
"Seeq has provided visibility to the key performance indicators and visualization of those critical pointers in our dashboards."
 

Cons

"There needs to be improvement in error handling and resource management because some of the documentation is not clear."
"I have observed some limitations with Fabric Data, especially when it comes to bringing data from private networks."
"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."
"Customer support receives a rating of six out of ten because they themselves are trying to figure out what is new and what the issue is."
"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."
"Fabric Data could be improved in the future by increasing the size capability from terabyte to petabyte for deeper integration."
"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."
"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."
"But customers who purchase Seeq and expect its dashboarding feature to be competitive with Power BI and Grafana might be disappointed."
"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."
"Seeq could work on the reporting format and dashboard."
"I would appreciate more detailed training beyond what we received during Seeq bootcamp, which is foundational."
"Sometimes we face a performance issue in Seeq, like the server load getting increased."
"We face a bit of an issue if there are any server issues or upgrades from Seeq."
"In Seeq Organizer, we've realized that process engineers want dashboards with more drag-and-drop features, like Power BI."
"Sometimes the software would be a bit slow to respond, and that may be because there were too many users at once."
 

Pricing and Cost Advice

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