No more typing reviews! Try our Samantha, our new voice AI agent.

Microsoft Fabric 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

Microsoft Fabric
Ranking in Data Management Platforms (DMP)
9th
Average Rating
7.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Palantir Foundry
Ranking in Data Management Platforms (DMP)
1st
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
59
Ranking in other categories
Data Integration (5th), IT Operations Analytics (5th), Supply Chain Analytics (1st), Cloud Data Integration (4th), Data Migration Appliances (2nd), Data and Analytics Service Providers (1st)
 

Featured Reviews

Ankush-Singh - PeerSpot reviewer
Lead Software Engineer at Momentus
Unified analytics platform has simplified complex dashboards and supported secure data pipelines
One thing about Microsoft Fabric that I think could be improved is the potential confusion when working with real-time data versus normal batch loading. If you are dealing with real-time databases or data, you need to work with Event Hub and event streaming, but for normal batch processing, you can usually go ahead with the SQL warehouse or the data lakehouse. I recommend that Microsoft unify these processes, so using one source can meet both requirements. If I am working with real-time data and batched data, I should not have to manage two separate systems; instead of creating an Event Hub and a lakehouse, users could simply manage one house to handle both real-time analysis and batch processing, making it simpler and more user-friendly from both business and development perspectives.
reviewer2846265 - PeerSpot reviewer
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
Unified healthcare pipelines have improved data trust and accelerated operational decisions
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For new engineers or business users onboarding, it can take time, especially if they are coming from more traditional data platforms. Better documentation, simplified onboarding paths, and more beginner-friendly examples would help accelerate adoption. Another area is debugging complexity. While lineage and monitoring are strong features, troubleshooting deeply interconnected pipelines can still become difficult in a large enterprise environment. Sometimes error logs and pipeline failure messages could be more descriptive or developer-friendly, especially for distributed PySpark jobs. Another pain point is customization limitations in certain UI-driven components. While low-code tools are great for rapid development, highly customized workflows sometimes still require engineering workarounds or deeper technical implementation. The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.

Quotes from Members

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

Pros

"The features and capabilities of Microsoft Fabric that I have found most useful include it being a uniform platform."
"The best feature Microsoft Fabric offers in my experience is the Dataflow."
"The most valuable and useful feature I have found in Microsoft Fabric is data consistency, which is the top thing."
"It has been the platform for end to end data processing, manipulations, and reporting, greatly improved org's data reporting effort."
"The data lineage is great."
"Palantir Foundry gives me a unified view of AI and my engineering space while I have been doing a lot of data engineering in a couple of technologies, bringing that data together and stitching them and putting together AI, enabling AI use cases, which makes me see a holistic view of data coming from various platforms."
"I like the data onboarding to Palantir Foundry and ETL creation."
"Palantir Foundry has reduced a very good amount of time to implement a data pipeline and process the data within four hours."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"In terms of improvements, it helped us improve our data migration timelines by approximately 60 percent and improved the data accuracy and addressed the issues upfront by approximately 85 percent."
"After we automated the entire workflow on Palantir Foundry, it ran really well in terms of time and correctness, and also data quality."
 

Cons

"One thing about Microsoft Fabric that I think could be improved is the potential confusion when working with real-time data versus normal batch loading."
"I think the Copilot usage in Microsoft Fabric can be improved."
"In my experience, Microsoft Fabric is not stable."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"I cannot advise someone to use Palantir Foundry due to cost efficiency and the complexity it introduces in handling large amounts of data."
"I believe that the AI or agent needs improvement because sometimes we face difficulties when looking for solutions, and when we ask the agent, AIP, it does not understand our queries and occasionally provides wrong solutions."
"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."
"Sometimes it takes time to refresh the UI, especially since it is cloud-based."
"Regarding documentation, I find that when I face issues, the outdated documentation is not helpful; for example, while trying to create a webhook to fetch SharePoint metadata, I found available resources lacking relevance, needing significant updates to assist users properly."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
 

Pricing and Cost Advice

Information not available
"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"It's expensive."
"Palantir Foundry is an expensive solution."
report
Use our free recommendation engine to learn which Data Management Platforms (DMP) solutions are best for your needs.
900,747 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Manufacturing Company
14%
Financial Services Firm
9%
Government
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise7
Large Enterprise49
 

Questions from the Community

What needs improvement with Microsoft Fabric?
I think Microsoft Fabric can be improved, but I feel that everything is adequate. Everything is acceptable regarding the needed improvements.
What is your primary use case for Microsoft Fabric?
My main use case for Microsoft Fabric is data engineering. A specific example of something my team has used Microsoft Fabric for is to collect information from many sources and put it in the data w...
What advice do you have for others considering Microsoft Fabric?
My advice to others looking into using Microsoft Fabric is that it is a good solution. I heard from the cloud infrastructure team about this product. I do not have any additional thoughts about Mic...
What needs improvement with Palantir Foundry?
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For n...
What is your primary use case for Palantir Foundry?
I use Palantir Foundry for my primary use case, which involves building and maintaining end-to-end pipelines and operational data products at UHG for our healthcare analytics team. I work on data i...
What advice do you have for others considering Palantir Foundry?
My advice would be to approach Palantir Foundry as an enterprise operational platform, not just a traditional data tool. The platform delivers the most value when organizations fully leverage its g...
 

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 Microsoft Fabric vs. Palantir Foundry and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.