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Azure Data Factory vs WSO2 Enterprise Integrator 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)
WSO2 Enterprise Integrator
Ranking in Data Integration
25th
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
19
Ranking in other categories
Enterprise Service Bus (ESB) (7th)
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Azure Data Factory is 9.5%, down from 12.7% compared to the previous year. The mindshare of WSO2 Enterprise Integrator is 0.5%, up from 0.4% 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.
Ritesh_Shah - PeerSpot reviewer
Decreases the development timeframe and costs
The main issue with the product is pricing. It uses core-based pricing for WSO2 Enterprise Integrator and API Manager. It would be best if you had APIM by default. It provides many connectors for easy integration with third-party systems. Often, customers decide to develop using open-source tools like Spring Boot if there aren't many connectors required to avoid increasing costs. They'll develop this way and then deploy using APIM, the bare minimum needed. It is mainly required for very complicated setups with many connectors. In the implementations I've seen, people often used open-source tools because there weren't many third-party systems involved—just their organization's own systems. From WSO2 Enterprise Integrator, I expect them to bring up more and more connectors in the future. That's the main expectation. Having more connectors in various areas will help us when discussing new requirements. I don't have any specific use case right now, so I can't name a particular connector. But, as new technologies emerge, the relevant connectors should be there for those. WSO2 Enterprise Integrator mainly helps with the integration part, which can be simplified only if you have relevant connectors for whatever you're doing.

Quotes from Members

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

Pros

"The function of the solution is great."
"The scalability of the product is impressive."
"I can do everything I want with SSIS and Azure Data Factory."
"The solution is okay."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"An excellent tool for pipeline orchestration."
"It is beneficial that the solution is written with Spark as the back end."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"The solution basically conforms to our standards."
"The drag-and-drop features for connectors are very valuable."
"It was mostly easy to set up the product."
"The connectors have been the most impactful features for handling integrations. I can use these connectors when I need specific connectivity with a third party, like a core banking system in BFSI. I don't need to do all the development. I take the specific connector, put in the IP address and password, and it takes care of everything."
"It's a consolidated product. It works and it does its job pretty well."
"The productivity is the most valuable feature. It is very easy to write remediations."
"The solution's customer service is good."
"The customer service executives are very responsive."
 

Cons

"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"The product integration with advanced coding options could cater to users needing more customization."
"Some prebuilt data source or data connection aspects are generic."
"Azure Data Factory's pricing in terms of utilization could be improved."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"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."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"The setup can be difficult for those not familiar with the solution."
"They should release upgrades more frequently."
"There are a lot of security settings that when you apply you have to re-apply again every time you modify a setting. It is something that really needs to be enhanced."
"You cannot include the validation of XPath."
"The product's price is an area of concern where improvements are required."
"In my opinion, the administration model and interface, of Carbon, are lacking in terms of its features and user experience."
"The integration capabilities need to be improved."
"I would like to see better documentation for the open-source version."
 

Pricing and Cost Advice

"Pricing is comparable, it's somewhere in the middle."
"I don't see a cost; it appears to be included in general support."
"The cost is based on the amount of data sets that we are ingesting."
"Pricing appears to be reasonable in my opinion."
"I would rate Data Factory's pricing nine out of ten."
"The solution's pricing is competitive."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"This is a cost-effective solution."
"It is a low-cost solution."
"The open-source, unsupported version is available free of charge."
"The cost is better than IBM Cloud Pak."
"The pricing of WSO2 Enterprise Integrator for enterprise subscriptions can be considered expensive, especially from the perspective of someone who prefers open-source software."
"The solution costs about 20,000 or 30,000 euros per year, per instance."
"I rate the product price a six on a scale of one to ten, where one is low price and ten is high price."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Computer Software Company
25%
Financial Services Firm
16%
Manufacturing Company
5%
Real Estate/Law Firm
4%
 

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 do you like most about WSO2 Enterprise Integrator?
WSO2's analytics capability is good, considering the ELC support they provide.
What is your experience regarding pricing and costs for WSO2 Enterprise Integrator?
The product has reasonable and competitive pricing for enterprise customers. It is expensive for small businesses especially. They are using the open-source solution, and they find it expensive sin...
What needs improvement with WSO2 Enterprise Integrator?
The main issue with the product is pricing. It uses core-based pricing for WSO2 Enterprise Integrator and API Manager. It would be best if you had APIM by default. It provides many connectors for e...
 

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
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Find out what your peers are saying about Azure Data Factory vs. WSO2 Enterprise Integrator and other solutions. Updated: March 2025.
842,767 professionals have used our research since 2012.