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Azure Data Factory vs Informatica PowerExchange 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)
Informatica PowerExchange
Ranking in Data Integration
18th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
20
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.1%, down from 12.9% compared to the previous year. The mindshare of Informatica PowerExchange is 1.1%, up from 1.0% 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.
Mohammad Faizan Ahmad - PeerSpot reviewer
Helpful in handling areas like complex data sources and data processing but needs improved support services
The major challenge with the tool stems from the fact that if you are implementing it in the cloud, then it has to be within the framework. Another challenge is the large volume of data. Informatica PowerExchange is a product through which we enable connectivity, so it is not an application product or a stand-alone tool, but Informatica's core systems or IICS uses it to connect to multiple systems. The major challenge associated with the tool is on the infrastructure side. The tool's features could be something faster with more connectors. A number of connectors can help connect to a wide variety of applications. The tool should focus on reducing the resilient time, like, if any network disconnectivity happens, then auto-reconnection and the retry method should be more robust so that manual intervention is not required. We communicate with the tool's support team as we need to raise our issues with them. I have already worked with Informatica and have a total experience of around eight to nine years; the one problem with the tool is its support team since they take a lot of time to address a particular issue. If one time you schedule a call and explain the situation to them about the issue, the support team will raise tickets and take notes. They will ask you to share the logs or screenshots of the errors, and you will get no resolution. The support team will randomly give you some documents and expect you to go through them, and if you get back to them with questions, a new person will be allocated, and you will have to start explaining everything again. I would not say it is a pleasant experience.

Quotes from Members

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

Pros

"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"It is easy to deploy workflows and schedule jobs."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"Data Factory allows you to pull data from multiple systems, transform it according to your business needs, and load it into a data warehouse or data lake."
"Azure Data Factory is a low code, no code platform, which is helpful."
"We use the solution to move data from on-premises to the cloud."
"The product's initial setup phase was not complex. The tool is easy to install onto any of the servers, and you can integrate it."
"It is a scalable and versatile solution."
"Mainstream integration and real-time integration are the best features."
"The scalability is excellent."
"From the product feature or product capability perspective, the aspects around integration, transformation, and standardization are valuable. It's fairly easy to use. It has a GUI-based interface."
"This product is easy to install and it can be done in a few hours."
"The agentless RCDC enablement through PowerExchange is a great idea and has worked very well so far."
"The user interface and user experience are perfectly all right."
 

Cons

"Some prebuilt data source or data connection aspects are generic."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"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 Microsoft documentation is too complicated."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"The major challenge associated with the tool is on the infrastructure side."
"The one place where it could be improved is definitely pricing. That's a very big problem. It depends product to product, but pricing is an issue."
"The solution could be made more user-friendly. The configurations are also quite difficult."
"The solution needs better integration with other tools."
"The connectivity with T24 core banking could be improved."
"Pushdown optimization could be improved."
"They should make it quick and easy for use of citizen data integration or for people or integrators developing at the customer side. They could be development teams within the business team. For them, the product owners can consider making it a little bit more seamless and a little bit more democratized."
"I would like the stability to improve."
 

Pricing and Cost Advice

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"This is a cost-effective solution."
"The pricing is a bit on the higher end."
"Pricing is comparable, it's somewhere in the middle."
"I would rate Data Factory's pricing nine out of ten."
"Pricing appears to be reasonable in my opinion."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"An annual package license fee is required."
"Many users don't prefer to use the product, considering the high costs attached to the licensing part of the solution."
"There are licensing and connector costs. Basically, Informatica is pay-as-you-use."
"It's expensive. In fact, nobody would buy any product of Informatica if the price was the only consideration. It costs money, and it doesn't come cheap, but it provides value for money in many ways."
"The product is not very expensive."
"There is a need to pay towards the licensing cost of the product. It is an expensive product."
"The cost of PowerExchange is reasonable. It does not rely on complicated formulas or unrealistic equations. The pricing model is straightforward. There is one component, and real-time integration is included. Some other solutions require purchasing additional modules or third-party plugins for this capability."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
27%
Computer Software Company
12%
Insurance Company
11%
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 is your experience regarding pricing and costs for Informatica PowerExchange?
There are licensing and connector costs. Basically, Informatica is pay-as-you-use. There is one product cost and then the additional number of connectors or applications to which you are connecting...
What needs improvement with Informatica PowerExchange?
The major challenge with the tool stems from the fact that if you are implementing it in the cloud, then it has to be within the framework. Another challenge is the large volume of data. Informatic...
 

Also Known As

No data available
PowerExchange, Connectors
 

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
ACH Food, BNSF Railway Company, Illinois State University
Find out what your peers are saying about Azure Data Factory vs. Informatica PowerExchange and other solutions. Updated: January 2025.
837,501 professionals have used our research since 2012.