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Azure Data Factory vs Informatica PowerExchange [EOL] comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

Review summaries and opinions

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

ROI

Sentiment score
5.3
Azure Data Factory centralizes data, cuts costs, boosts efficiency, enhances client satisfaction, and delivers a 20-30% return.
Sentiment score
7.9
Informatica PowerExchange boosts decision-making and ROI through streamlined data management and cost-effective integration across data sources.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Data Engineer at Vthinktechnologies
It is considered cost-efficient because it leads to the re-utilization of channels and platforms, which saves time and money.
Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees
 

Customer Service

Sentiment score
6.2
Azure Data Factory support is generally proficient and accessible, though response times and costs can vary for dedicated support.
Sentiment score
7.1
Feedback on Informatica PowerExchange support is mixed, with praise for reliability but concern over response times, averaging 7-8/10 ratings.
On a scale of one to ten, I would rate the technical support as nine.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
The technical support from Microsoft is rated an eight out of ten.
Chief Analytics Officer at Idiro Analytics
The technical support is responsive and helpful
Sr. Technical Architect at Hexaware Technologies Limited
Their support aligns with what I have experienced with Informatica data quality teams, and it is quite effective.
IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees
Informatica's technical support team is very supportive and provides help whenever required.
Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees
The support was good enough, and they were able to resolve all the issues I raised in the past.
Senior Analyst at North Oil Company
 

Scalability Issues

Sentiment score
7.3
Azure Data Factory is scalable and flexible but sometimes requires support for quotas and improvements for broader scalability.
Sentiment score
7.0
Informatica PowerExchange is scalable for big data, though some find limitations in flexibility and high availability.
Azure Data Factory is highly scalable.
Chief Analytics Officer at Idiro Analytics
I did not experience scalability issues.
Principal Data Engineer at Oracle
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is highly rated for stability, though performance varies with setup, data volume, and resource allocation.
Sentiment score
7.7
Informatica PowerExchange [EOL] is reliable but needs improvements in handling high loads, error clarity, and log visibility.
The solution has a high level of stability, roughly a nine out of ten.
Chief Analytics Officer at Idiro Analytics
It gives me the accurate result.
Test Engineer at Happiest Minds Technologies
I have been using Azure Data Factory for a very long time, and I did not find too many issues.
Principal Data Engineer at Oracle
Technical errors sometimes occur, such as network breakages at the source level, which breaks connectivity.
Senior Analyst at North Oil Company
 

Room For Improvement

Azure Data Factory needs better setup, connectivity, documentation, support, performance, and UI for enhanced functionality and user experience.
Informatica PowerExchange needs improved integration, user-friendliness, and enhancements in big data, real-time processing, and automation capabilities.
The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity.
Test Engineer at Happiest Minds Technologies
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Chief Analytics Officer at Idiro Analytics
One area that could be improved is performance, as PowerExchange sometimes has less performance compared to native connectors when dealing with a huge volume of data.
Senior Analyst at North Oil Company
The addition of data quality dashboards or measures would also help in profiling data to assess its health before sharing or moving it.
Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees
 

Setup Cost

Azure Data Factory's pricing is competitive but complex, requiring careful monitoring to manage costs for high data usage.
Informatica PowerExchange pricing is capacity-based with moderate to high costs, favored for integration capabilities and cost efficiency.
The pricing is cost-effective.
Chief Analytics Officer at Idiro Analytics
It is considered cost-effective.
Sr. Technical Architect at Hexaware Technologies Limited
The pricing and cost depend heavily on SAP's licensing structure, especially if using SAP integration services.
IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees
Informatica PowerExchange is considered cost-efficient due to reduced number of APIs needed.
Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees
 

Valuable Features

Azure Data Factory excels in performance, ease of use, scalability, and integration, making it highly valued for ETL processes.
Informatica PowerExchange [EOL] excels in data transformation, connectivity, and integration, efficiently handling large data volumes with flexibility.
It connects to different sources out-of-the-box, making integration much easier.
Sr. Technical Architect at Hexaware Technologies Limited
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Data Engineer at Vthinktechnologies
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
Director at a computer software company with 1,001-5,000 employees
It also reduces the number of APIs needed for new integrations by offering a unified exchange platform.
Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees
PowerExchange is one of the best software solutions to build integrations with non-Oracle or standard database services, especially for SAP and Hana products.
IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees
The primary advantage of Informatica PowerExchange is being able to extract data from source systems that Informatica does not natively support.
Senior Analyst at North Oil Company
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
97
Ranking in other categories
Data Integration (5th), Cloud Data Warehouse (7th)
Informatica PowerExchange [...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
23
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Kunal Das - PeerSpot reviewer
Test Engineer at Happiest Minds Technologies
Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling
If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.
HA
Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees
Facilitates seamless data exchange for Middle Eastern government entities while reducing costs and simplifying integration processes
Informatica PowerExchange is important for services and common services implementations. This allows workflow communication between different entities, providing proper services. The tool's governance features include HA rules, responsibilities, and policies which are highly valued. It also reduces the number of APIs needed for new integrations by offering a unified exchange platform that facilitates easy-to-use services without the need for coding.
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
Financial Services Firm
16%
Outsourcing Company
9%
Construction Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise64
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise3
Large Enterprise12
 

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?
Informatica PowerExchange is considered cost-efficient due to reduced number of APIs needed, enabling re-utilization of existing channels, cutting down on development and training costs.
What needs improvement with Informatica PowerExchange?
It would be helpful to have more metadata provided, which is useful for engaging more users in data exchange. The addition of data quality dashboards or measures would also help in profiling data t...
What is your primary use case for Informatica PowerExchange?
We utilize Informatica PowerExchange ( /products/informatica-powerexchange-reviews ) for data sharing and data monitoring across government entities in the Middle East. The tool facilitates data ex...
 

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 Informatica, Palantir, Microsoft and others in Data Integration. Updated: September 2026.
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