Azure Data Factory vs Palantir Gotham comparison

Azure Data Factory

Read 81 Azure Data Factory reviews

24,893 Views
19,539 Comparison Views

91% willing to recommend

Palantir Gotham

Read 1 Palantir Gotham review

1,787 Views
1,224 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, Oracle and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: May 2024).

Buyer's Guide

Data Integration

May 2024

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Helped 787,061 peers since 2012

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

Palantir Gotham

Ranking in Data Integration

33rd

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Market share comparison

As of June 2024, in the Data Integration category, the market share of Azure Data Factory is 9.6% and it decreased by 29.4% compared to the previous year. The market share of Palantir Gotham is 0.4% and it decreased by 45.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Unique Categories:

Cloud Data Warehouse

13.6%

No other categories found

Featured Reviews

reviewer1715364

Senior Data Engineer at a photography company with 11-50 employees

Jul 17, 2023

A tool that offers overall efficiency to its users, particularly in the area of data warehousing

There aren't many third-party extensions or plugins available in the solution. Adjunction or addition of third-party extensions or plugins to Azure Data Factory can be a great improvement in the tool. Creation of custom codes, custom extensions, or third-party extensions, like Lookup extension, should be made possible in the tool. I am unsure if Azure Data Factory bridges the gap between on-premises, cloud, and hybrid solutions. I would like to see a version that would work equally well in both on-premises and cloud environments. I would like to see the aforementioned offerings made to customers as valuable alternatives to the old SSIS tool.

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Wallace Hugh

VP of Data and Analytics at a tech services company with 201-500 employees

Nov 24, 2022

A seamless all-in-one solution

We use this solution to help us ingest data, for data manipulation, and to enhance our workflows. We use this solution to generate daily reports on the COVID-19 crisis — that's our main use case. Palantir has improved greatly for the data processing and reporting generation. This solution is…

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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

"We haven't had any issues connecting it to other products."

"I like that it's a monolithic data platform. This is why we propose these solutions."

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

"It is easy to deploy workflows and schedule jobs."

"The solution is okay."

"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."

"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."

"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."

More Azure Data Factory pros

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

Cons

"I would like to see this time travel feature in Snowflake added to Azure Data Factory."

"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."

"The speed and performance need to be improved."

"Data Factory's monitorability could be better."

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

"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"Azure Data Factory can improve by having support in the drivers for change data capture."

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

"Understanding the pricing model for Data Factory is quite complex."

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"This is a cost-effective solution."

"ADF is cheaper compared to AWS."

"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."

"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."

"It's not particularly expensive."

"I would rate Data Factory's pricing nine out of ten."

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

13%

Manufacturing Company

Healthcare Company

Government

14%

Computer Software Company

12%

University

11%

Financial Services Firm

11%

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...

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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 13% of the time

Informatica Cloud Data Integration vs Azure Data Factory

Compared 9% of the time

Snowflake vs Azure Data Factory

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 8% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Palantir Foundry vs Palantir Gotham

Compared 85% of the time

Stone Bond Enterprise Enabler vs Palantir Gotham

Compared 9% of the time

More Palantir Gotham Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2024

Download Azure Data Factory product report

Buyer's Guide

Data Integration

May 2024

Download Palantir Gotham product report

Learn More

Microsoft

Palantir

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.

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.

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, Oracle and others in Data Integration. Updated: May 2024.

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