Azure Data Factory vs Informatica Enterprise Data Lake comparison

Microsoft and Informatica are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while Informatica is ranked #42 with an average rating of 7.0. Microsoft holds a 7.4% mindshare in DI, compared to Informatica’s 0.2% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Informatica users who would recommend it.

Azure Data Factory

Read 92 Azure Data Factory reviews

15,713 Views
10,999 Comparison Views

92% willing to recommend

Informatica Enterprise Data...

Read 1 Informatica Enterprise Data Lake review

344 Views
237 Comparison Views

100% willing to recommend

Azure Data Factory

Informatica Enterprise Data...

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Executive Summary

We performed a comparison between Azure Data Factory and Informatica Enterprise Data Lake 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: August 2025).

Buyer's Guide

Data Integration

August 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

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Informatica Enterprise Data...

Ranking in Data Integration

42nd

Average Rating

7.0

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of Azure Data Factory is 7.4%, down from 11.9% compared to the previous year. The mindshare of Informatica Enterprise Data Lake is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	7.4%
Informatica Enterprise Data Lake	0.2%
Other	92.4%

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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reviewer2330691

Data Architect at a tech services company with 11-50 employees

A scalable tool that needs a lot of maintenance due to its unstable nature

Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around insights of data. At Informatica Enterprise Data Lake's level, in our company, we have a lot of redundant data in a lot of our core systems. The basic thing that our company wants is for the product to develop a reporting layer and access data from the document layer so that we can avoid duplication in projects, databases, and data. There is a lot of maintenance to be done owing to the instability users may face every time because of the huge processing capacity as the company has around more than 50 nodes, which causes a lot of maintenance issues because of which a lot of people don't benefit from the platform as it functions in a slow manner. Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems. Every time, we have to find different tools we can use in our company with the solution since it doesn't support many real-time systems. Even if our company invests in some tools, Informatica Enterprise Data Lake creates too many small files with some issues, which we cannot read because we invested in HBase and Kudu, but performance-wise, the process is slow.

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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

"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."

"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."

"The overall performance is quite good."

"The most important feature is that it can help you do the multi-threading concepts."

"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."

"Powerful but easy-to-use and intuitive."

"An excellent tool for pipeline orchestration."

More Azure Data Factory pros

"The process of using the tool's scalability option is well documented."

Cons

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

"There are performance issues, particularly with the underlying compute, which should be configurable."

"The initial setup is not very straightforward."

"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."

"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."

"Data Factory's performance during heavy data processing isn't great."

"When we initiated the cluster, it took some time to start the process."

"The product could provide more ways to import and export data."

More Azure Data Factory cons

"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."

Pricing and Cost Advice

"Product is priced at the market standard."

"ADF is cheaper compared to AWS."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

"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."

"Data Factory is expensive."

"The solution is cheap."

"The pricing is a bit on the higher end."

"The cost is based on the amount of data sets that we are ingesting."

More Azure Data Factory pricing and cost advice

"The licenses attached to the solution are highly priced."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	18
Large Enterprise	55

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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What do you like most about Informatica Enterprise Data Lake?

The process of using the tool's scalability option is well documented.

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What is your experience regarding pricing and costs for Informatica Enterprise Data Lake?

The licenses attached to the solution are highly priced. Informatica has licensing models for every product and for every feature, like the web service feature, which is something my company doesn'...

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What needs improvement with Informatica Enterprise Data Lake?

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 9% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 7% of the time

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

Compared 5% of the time

Alteryx Designer vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

SSIS vs Informatica Enterprise Data Lake

Compared 100% of the time

More Informatica Enterprise Data Lake Competitors

Product Reports

Buyer's Guide

Azure Data Factory

August 2025

Download Azure Data Factory product report

Buyer's Guide

Data Integration

August 2025

Download Informatica Enterprise Data Lake product report

Also Known As

No data available

Informatica Intelligent Data Lake, Intelligent Data Lake

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 Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects.

Informatica

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

Information Not Available

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

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