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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
16
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

"In terms of my personal experience, it works fine."
"The scalability of the product is impressive."
"An excellent tool for pipeline orchestration."
"We use the solution to move data from on-premises to the cloud."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The security of the agent that is installed on-premises is very good."
"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."
"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."
"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."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"It's scalable."
"The AI engine that comes with Palantir Foundry is quite interesting."
"The virtualization tool is useful."
"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."
"The data lineage is great."
 

Cons

"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"When the record fails, it's tough to identify and log."
"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"The workflow could be improved."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"The solution's visualization and analysis could be improved."
"Difficult to receive data from external sources."
"The solution’s data security could be improved."
"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."
"Cost of this solution is quite high."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
 

Pricing and Cost Advice

"I don't see a cost; it appears to be included in general support."
"Product is priced at the market standard."
"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"It's not particularly expensive."
"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"Pricing is comparable, it's somewhere in the middle."
"Palantir Foundry is an expensive solution."
"Palantir Foundry has different pricing models that can be negotiated."
"The solution’s pricing is high."
"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
13%
Financial Services Firm
10%
Computer Software Company
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?
Palantir Foundry is missing marketing, which could help it grow. Additionally, the startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership. Palanti...
What is your primary use case for Palantir Foundry?
I am getting into the ontology space using Palantir Foundry. The primary use case is for developing a common business model that includes data, people, and processes, essentially describing how bus...
 

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: April 2025.
849,686 professionals have used our research since 2012.