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Azure Data Factory vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (3rd)
Palantir Foundry
Ranking in Data Integration
19th
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
15
Ranking in other categories
IT Operations Analytics (9th), Supply Chain Analytics (1st), Cloud Data Integration (14th), Data Migration Appliances (4th), Data Management Platforms (DMP) (2nd), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Azure Data Factory is 9.5%, down from 12.7% compared to the previous year. The mindshare of Palantir Foundry is 2.8%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
Rama Subba Reddy Thavva - PeerSpot reviewer
A low-code/no-code platform with a user-friendly UI
We couldn't implement or use some of the latest functionalities, like Spark. Palantir Foundry is scalable, but it is costly compared to other cloud providers. The solution is more suitable for small and medium businesses. It might be difficult for large enterprises. I rate the solution’s scalability a seven out of ten.

Quotes from Members

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

Pros

"I can do everything I want with SSIS and Azure Data Factory."
"In terms of my personal experience, it works fine."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"The most valuable feature of this solution would be ease of use."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The solution can scale very easily."
"The trigger scheduling options are decently robust."
"The solution offers very good end-to-end capabilities."
"It's scalable."
"The AI engine that comes with Palantir Foundry is quite interesting."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"I like the data onboarding to Palantir Foundry and ETL creation."
"The virtualization tool is useful."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"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

"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"It can improve from the perspective of active logging. It can provide active logging information."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"The workflow could be improved."
"Some error messages can be very cryptic."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Cost of this solution is quite high."
"Difficult to receive data from external sources."
"The solution’s data security could be improved."
"The frontend capabilities of Palantir Foundry could be improved."
"The solution could use more online documentation for new users."
 

Pricing and Cost Advice

"The solution is cheap."
"Understanding the pricing model for Data Factory is quite complex."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"This is a cost-effective solution."
"Product is priced at the market standard."
"The licensing cost is included in the Synapse."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"Palantir Foundry has different pricing models that can be negotiated."
"The solution’s pricing is high."
"Palantir Foundry is an expensive solution."
"It's expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Manufacturing Company
14%
Computer Software Company
11%
Financial Services Firm
10%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
What do you like most about Palantir Foundry?
Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration.
What needs improvement with Palantir Foundry?
The solution’s data security could be improved. We cannot use many Python packages with the solution. We were able to use only a few compatible Python packages.
What is your primary use case for Palantir Foundry?
Our use cases are mostly related to data analytics. We are building some dashboards and ETL pipelines on the Palantir side. Palantir Foundry is a low-code/no-code platform with a user-friendly UI. ...
 

Overview

 

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Azure Data Factory vs. Palantir Foundry and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.