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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
37th
Average Rating
8.2
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Seeq
Ranking in Data and Analytics Service Providers
2nd
Average Rating
8.4
Number of Reviews
22
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Data and Analytics Service Providers category, the mindshare of Fabric Data is 0.5%, up from 0.4% compared to the previous year. The mindshare of Seeq is 1.2%, 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 (%)
Seeq1.2%
Fabric Data0.5%
Other98.3%
Data and Analytics Service Providers
 

Featured Reviews

TG
Data Scientist at Constellation Brands
Unified data tools have simplified analytics workflows and have enabled large-scale geocoding
I find the integration between these different tools within Fabric Data has some learning curves because Fabric Data is growing. It can sometimes be challenging to learn new tasks and items to get it to function, but overall, it usually works pretty well, even when things are in preview mode. 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. There should be a lot more transparency on what things actually cost when it comes to Fabric Capacity. In addition, some of the tools offered by Fabric Data don't provide really good guidelines for how to accomplish things inside Fabric Data; they just have all these tools and you have to know which one to go to make it work. Fabric Data is laid out an umbrella with all the tools underneath it, and I don't find that their use case or how to maneuver or manage inside Fabric Data is intuitive. I wish they had spent more time developing the menus or how to get from one place to the other.
AH
Regional Smart Manufacturing Automation, Instrumentation & Process Control Engineer at a manufacturing company with 10,001+ employees
Data insights have optimized cycle times and guided strategic maintenance decisions
The algorithm features could be better. I know that is something really in early stages and we have to be careful about it, but adding some new AI insights and making it possible to go through the algorithms and optimizing them myself could be a good approach.Support is excellent, and the user interface is friendly. If you are a developer, you might want to go further and not have it be a black box, but adding some scopes for Python development could be beneficial. I know they have some add-ons that do so, but the main idea is keeping it simple for the main people, which is awesome.

Quotes from Members

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

Pros

"Fabric Data has positively impacted my organization as my company is a consultant company and we have implemented these projects for our clients."
"The best features are that the entire ecosystem is inside Microsoft and it is under a SaaS platform."
"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."
"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."
"The tool is user-friendly."
"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."
"The initial setup is very easy. I've installed and upgraded Seeq in the remote agent service."
"This is a very simple yet powerful tool that can connect to the historian in real time, and then we can perform some formula-based calculations."
"It is a user-friendly tool, and Seeq is a good application where we can easily access it."
"For smart manufacturing applications only, we were able to save up to $10 million a year."
"Compared to any other platform, Seeq is the best and most adaptive."
"This resulted in a net savings of approximately one million dollars of extra product per year."
 

Cons

"One area is performance optimization and monitoring visibility for large-scale workloads."
"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."
"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."
"To improve Fabric Data, I suggest more integration with additional data sources and better integration for data agents."
"The advanced functionality requires some training."
"I would appreciate more detailed training beyond what we received during Seeq bootcamp, which is foundational."
"Sometimes, we face a performance issue in Seeq."
"We face a bit of an issue if there are any server issues or upgrades from Seeq."
"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."
"Sometimes the software would be a bit slow to respond, and that may be because there were too many users at once."
"I would like to test the software for free for a longer time."
 

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
No data available
Manufacturing Company
31%
Energy/Utilities Company
9%
Construction Company
8%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Large Enterprise6
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise17
 

Questions from the Community

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Earn 20 points
What needs improvement with Seeq?
The technical support services need improvement.
What is your primary use case for Seeq?
I primarily use Seeq to monitor various process tags and notify me when they are outside the expected parameters. The software allows me to analyze substantial amounts of data, which I find quite i...
What advice do you have for others considering Seeq?
Seeq is accessible to anyone, although some prior experience in data analysis can be beneficial for more complex tasks. The predictive analytics features have been instrumental in catching excursio...
 

Comparisons

No data available
 

Overview

Find out what your peers are saying about Palantir Foundry vs. Seeq and other solutions. Updated: April 2026.
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