Fabric Data vs Palantir Foundry comparison

Why PeerSpot?

Fabric Data and Palantir are both solutions in the Data and Analytics Service Providers category. Fabric Data is ranked #3 with an average rating of 8.0, while Palantir is ranked #1 with an average rating of 8.2. Fabric Data holds a 1.0% mindshare in DaAS, compared to Palantir’s 9.9% mindshare. Additionally, 95% of Fabric Data users are willing to recommend the solution, compared to 93% of Palantir users who would recommend it.

Fabric Data

Read 21 Fabric Data reviews

904 Views
895 Comparison Views

95% willing to recommend

Palantir Foundry

Read 62 Palantir Foundry reviews

18,809 Views
3,009 Comparison Views

93% willing to recommend

Fabric Data

Palantir Foundry

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Fabric Data and Palantir Foundry based on real PeerSpot user reviews.

Find out in this report how the two Data and Analytics Service Providers solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Fabric Data vs. Palantir Foundry Report (Updated: September 2026).

Buyer's Guide

Fabric Data vs. Palantir Foundry

September 2026

Download the complete report

Helped 919,894 peers since 2012

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

Ranking in other categories

No ranking in other categories

Palantir Foundry

Ranking in Data and Analytics Service Providers

1st

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Integration (2nd), IT Operations Analytics (4th), Supply Chain Analytics (1st), Cloud Data Integration (4th), Data Migration Appliances (2nd), Data Management Platforms (DMP) (1st)

Mindshare comparison

As of October 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 Palantir Foundry is 9.9%, down from 10.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data and Analytics Service Providers Mindshare Distribution
Product	Mindshare (%)
Palantir Foundry	9.9%
Fabric Data	1.0%
Other	89.1%

Data and Analytics Service Providers

Featured Reviews

Arman Khachatryan

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.

Read full review

reviewer2846265

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.

Read full review

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 Fabric Data offers are its versatility, as you can use data fabric for many uses in one single platform."

"Fabric Data has impacted my organization positively because collaboration has been better and deployments have been faster."

"Fabric Data has positively impacted my organization by providing a unified platform for the entire data for the customer which we are working on."

"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."

"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 offers the best features by delivering a well-integrated, modern data engineering experience as a learning and certification platform."

"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."

"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."

More Fabric Data pros

"Foundry's data visualization is fantastic."

"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."

"In my experience, the best features Palantir Foundry offers include the ontology and the possibility to create a digital twin of your company."

"Palantir Foundry is one of the most advanced tools right now, in my opinion, and it would take over the world very soon."

"Live video sessions enhance the available documentation and allow you to ask questions directly."

"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."

"Palantir Foundry has positively impacted my organization by increasing the operational throughput of the yard, which focuses on building new ships or repairing existing ones."

"It's scalable."

More Palantir Foundry pros

Cons

"I cannot say that the analytics and reporting capabilities of Fabric Data are good enough because it only provides compatibility with Microsoft Power BI."

"I think Fabric Data could be improved by adding more notebooks, even though it currently has one."

"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."

"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."

"One area is performance optimization and monitoring visibility for large-scale workloads."

"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."

"I have observed some limitations with Fabric Data, especially when it comes to bringing data from private networks."

"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."

More Fabric Data cons

"If you want to create new models on specific data sets, computing that is quite costly."

"My experience with pricing, setup cost, and licensing for Palantir Foundry was challenging for us."

"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."

"Difficult to receive data from external sources."

"I want to say that Palantir Foundry is quite expensive; it is not so easy for budget review and budget transformation of the company, which is quite expensive."

"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."

"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 workflow could be improved."

More Palantir Foundry cons

Pricing and Cost Advice

Information not available

"The solution’s pricing is high."

"Palantir Foundry is an expensive solution."

"Palantir Foundry has different pricing models that can be negotiated."

"It's expensive."

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Top Industries

By visitors reading reviews

Manufacturing Company

15%

Financial Services Firm

12%

University

10%

Comms Service Provider

Manufacturing Company

15%

Financial Services Firm

10%

Comms Service Provider

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	2
Large Enterprise	16

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	7
Large Enterprise	51

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...

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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 ...

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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...

See all answers

What needs improvement with Palantir Foundry?

The Workshop application could be improved because it is not very customizable, but it is still very strong. We also have the React OSK apps, but it does not allow the inbuilt applications such as ...

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What is your primary use case for Palantir Foundry?

My main use case for Palantir Foundry is to solve business problems, such as in healthcare. I also worked on a project for a law firm where thousands of PDFs were coming in, and we needed to check ...

See all answers

What advice do you have for others considering Palantir Foundry?

I believe they should get started by completing all the free certificates, then they could apply to the paid certificates to get a master of Palantir Foundry, solve some real use cases, do examples...

See all answers

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Product Reports

Buyer's Guide

Fabric Data

October 2026

Download Fabric Data product report

Buyer's Guide

Palantir Foundry

October 2026

Download Palantir Foundry product report

Overview

Fabric Data delivers powerful data management to streamline analytics, enhance data accessibility, and improve business decision-making processes within enterprises.

Fabric Data is designed to address complex data environments, offering a comprehensive approach to ensuring data integrity and consistency. Targeted towards data-driven organizations, it simplifies data management and integration, making data easy to access and utilize for advanced analytics and reporting. By facilitating seamless scalability, it supports growth and evolving data requirements efficiently.

What are the most important features of Fabric Data?

Data Integration: Simplifies the merging of multiple data sources into a single cohesive system.
Scalability: Adaptable framework allows for effortless expansion as needs grow.
Data Security: Implements robust measures to protect sensitive information.
Real-time Analytics: Offers immediate insights for faster decision-making.

What benefits or ROI should users look for in reviews?

Improved Efficiency: Streamlines data processes, reducing time and effort.
Cost Savings: Lowers operational costs by automating tasks and enhancing productivity.
Enhanced Decision-making: Provides reliable data insights to inform strategy.
Increased Agility: Respond quickly to changes with flexible data management.

Fabric Data can be implemented in sectors such as finance, healthcare, and retail, where it facilitates data-driven strategies, enhances customer experiences, and optimizes operational efficiencies. In finance, it supports risk management and regulatory compliance. In healthcare, it contributes to patient data management and care personalization.

Fabric Data

Palantir Foundry offers intuitive data management and application development, prioritizing accessibility through low-code/no-code tools, enabling users to integrate, analyze, and collaborate efficiently.

Palantir Foundry centers on user accessibility, data governance, and real-time capabilities, streamlining processes with low-code/no-code development. It supports comprehensive data analysis and integration, enhanced by digital twin features that align virtual and physical interactions. Despite high costs and performance challenges with large datasets, it remains a prime choice for sectors needing structured and unstructured data integration. Key areas include robust data security, lineage tracking, and predictive analytics, promoted through a unified management platform adaptable to diverse needs.

What are the key features of Palantir Foundry?

User-friendly interface enabling easy data governance and automation.
Real-time integration with strong data analysis and collaboration tools.
Low-code/no-code development to widen accessibility.
Digital twin capabilities for bi-directional process integration.
Strong data lineage, predictive analytics, and visualization tools.
Flexibility and customization options.

What benefits and ROI could reviews highlight?

Improved decision-making through enhanced data visibility.
Increased efficiency with automated data processes.
Broader accessibility to data insights via low-code options.
Enhanced collaboration and integration between departments.
Potential cost savings through streamlined operations.

In manufacturing, Palantir Foundry aids in engineering pipeline models and semantic frameworks, while utilities utilize its analytics to enhance service delivery. Insurance firms leverage its capability to assess and predict customer behavior. Throughout these industries, Foundry integrates across cloud environments, bridging structured and unstructured data from various sources.

Palantir

Sample Customers

Information Not Available

Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense

Buyer's Guide

Fabric Data vs. Palantir Foundry

September 2026

Free Report: Fabric Data vs. Palantir Foundry

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