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Fabric Data vs Palantir Foundry 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
8.4
Number of Reviews
13
Ranking in other categories
No ranking in other categories
Palantir Foundry
Ranking in Data and Analytics Service Providers
1st
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
Ranking in other categories
Data Integration (13th), IT Operations Analytics (8th), Supply Chain Analytics (1st), Cloud Data Integration (10th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st)
 

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 Palantir Foundry is 8.0%, down from 12.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data and Analytics Service Providers Mindshare Distribution
ProductMindshare (%)
Palantir Foundry8.0%
Fabric Data0.5%
Other91.5%
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.
BA
Associate Vice President at a insurance company with 10,001+ employees
Unified data workflows have empowered collaborative analytics and streamlined AI development
Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have worked on Palantir Foundry. There are many things that come up, but a few things are not intuitive enough. Now that we are in this AI phase, Palantir Foundry has created some wrappers around the models, allowing us to create using a no-code application, chatbots, and LLM functions. The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has. There are ways to do that, but it is not that intuitive, which is what I feel.

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 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."
"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."
"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 enables me to get the data from multiple resources, whether on-premises or any other Azure service providers, and also allows me to transfer and migrate the data from any other platform to Fabric Data smoothly."
"The unified workspace is the biggest advantage I experienced while building those data pipelines and working with OneLake storage."
"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."
"Everybody should give Fabric Data a try because it is the easiest tool that I have ever used."
"It's scalable."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The interface is really user-friendly."
"This product has all the various components for getting data, transforming it and visually creating the dashboards without the need to integrate things and no need to check the compatibility."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The data lineage is great."
"The solution offers very good end-to-end capabilities."
"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
 

Cons

"One area is performance optimization and monitoring visibility for large-scale workloads."
"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 think Fabric Data could be improved by adding more notebooks, even though it currently has one."
"I felt some features, particularly around the Dataflow Gen2 error handling and pipeline monitoring, lacked clear documentation at the time of my study."
"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."
"There needs to be improvement in error handling and resource management because some of the documentation is not clear."
"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."
"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."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"Difficult to receive data from external sources."
"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"The frontend capabilities of Palantir Foundry could be improved."
"The solution could use more online documentation for new users."
"I rate Palantir Foundry five out of 10. I'm ambivalent."
"Cost of this solution is quite high."
 

Pricing and Cost Advice

Information not available
"Palantir Foundry is an expensive solution."
"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"It's expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
University
18%
Manufacturing Company
15%
Outsourcing Company
7%
Manufacturing Company
13%
Financial Services Firm
9%
Government
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise12
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise13
 

Questions from the Community

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Earn 20 points
What needs improvement with Palantir Foundry?
Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have wo...
What is your primary use case for Palantir Foundry?
There are several use cases that we are working on with Palantir Foundry. The first thing is for data model creation for all our data engineering pipelines. That is one use case. Palantir Foundry a...
What advice do you have for others considering Palantir Foundry?
The visualization part in Palantir Foundry works for me at least if I want to see how the data is structured and for an initial analysis, but I would say it is not as matured as Power BI or Tableau...
 

Overview

 

Sample Customers

Information Not Available
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Fabric Data vs. Palantir Foundry and other solutions. Updated: May 2026.
895,399 professionals have used our research since 2012.