Azure Data Factory vs Palantir Gotham comparison

Microsoft and Palantir are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while Palantir is ranked #51. Microsoft holds a 8.9% mindshare in DI, compared to Palantir’s 0.5% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Palantir users who would recommend it.

Azure Data Factory

Read 91 Azure Data Factory reviews

14,994 Views
12,037 Comparison Views

92% willing to recommend

Palantir Gotham

Read 1 Palantir Gotham review

813 Views
549 Comparison Views

100% willing to recommend

Azure Data Factory

Palantir Gotham

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and Palantir Gotham based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: May 2025).

Buyer's Guide

Data Integration

May 2025

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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

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

Palantir Gotham

Ranking in Data Integration

51st

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Data Integration category, the mindshare of Azure Data Factory is 8.9%, down from 12.5% compared to the previous year. The mindshare of Palantir Gotham is 0.5%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

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.

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Wallace Hugh

Manager at a tech services company with 201-500 employees

A seamless all-in-one solution

This solution is seamless. From one platform, we can do just about anything. With other solutions, you'll need a separate platform for data ingestion, manipulation, etc. Then you'll need another tool for reporting. Palantir Gotham literally does it all. It generates a report regardless of the format. It can seamlessly generate it after the data has been collected.

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Quotes from Members

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

Pros

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

"Azure Data Factory is a low code, no code platform, which is helpful."

"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."

"We have been using drivers to connect to various data sets and consume data."

"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."

"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."

"Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness."

"Allows more data between on-premises and cloud solutions"

More Azure Data Factory pros

"This solution is seamless. From one platform, we can do just about anything."

Cons

"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."

"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."

"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."

"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."

"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."

"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."

"Real-time replication is required, and this is not a simple task."

"The Microsoft documentation is too complicated."

More Azure Data Factory cons

"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."

Pricing and Cost Advice

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

"Product is priced at the market standard."

"I would not say that this product is overly expensive."

"The licensing cost is included in the Synapse."

"ADF is cheaper compared to AWS."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Computer Software Company

16%

Government

14%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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.

See all answers

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...

See all answers

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...

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Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 11% of the time

Snowflake vs Azure Data Factory

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 6% of the time

Alteryx Designer vs Azure Data Factory

Compared 6% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Palantir Foundry vs Palantir Gotham

Compared 89% of the time

FME vs Palantir Gotham

Compared 11% of the time

More Palantir Gotham Competitors

Product Reports

Buyer's Guide

Azure Data Factory

May 2025

Download Azure Data Factory product report

Buyer's Guide

Data Integration

May 2025

Download Palantir Gotham product report

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

The Palantir Gotham platform comprises a suite of capabilities for integrating many different data sources for secure, collaborative analysis. The platform serves as an enterprise knowledge base, containing the full record of an organization's collective analysis.

Palantir

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

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Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: May 2025.

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