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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
7.0
Number of Reviews
91
Ranking in other categories
Cloud Data Warehouse (2nd)
WSO2 Enterprise Integrator
Ranking in Data Integration
32nd
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 July 2025, in the Data Integration category, the mindshare of Azure Data Factory is 7.9%, down from 12.2% compared to the previous year. The mindshare of WSO2 Enterprise Integrator is 0.6%, 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 trigger scheduling options are decently robust."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The function of the solution is great."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"I find that the solution integrates well with cloud technologies, which we are using for different clouds like Snowflake and AWS"
"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."
"Azure Data Factory is a low code, no code platform, which is helpful."
"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."
"The drag-and-drop features for connectors are very valuable."
"The installation process is easy."
"The solution has two main parts: integration and transformation. It's very user-friendly and easy to understand for everyone."
"Currently, I find the configuration part quite valuable, where you can easily configure things."
"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 solution's technical support is very knowledgeable."
"I like the user-friendly system and development of the service-oriented architecture."
 

Cons

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"The product integration with advanced coding options could cater to users needing more customization."
"Some prebuilt data source or data connection aspects are generic."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"The speed and performance need to be improved."
"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."
"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."
"The micro integrator should be improved. There is room for enhancement considering alternative integration components."
"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."
"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues."
"I would like to see better documentation for the open-source version."
"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."
 

Pricing and Cost Advice

"Understanding the pricing model for Data Factory is quite complex."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"Data Factory is affordable."
"This is a cost-effective solution."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"The cost is based on the amount of data sets that we are ingesting."
"Pricing is comparable, it's somewhere in the middle."
"The pricing of WSO2 Enterprise Integrator for enterprise subscriptions can be considered expensive, especially from the perspective of someone who prefers open-source software."
"I rate the product price a six on a scale of one to ten, where one is low price and ten is high price."
"It is a low-cost solution."
"The open-source, unsupported version is available free of charge."
"The solution costs about 20,000 or 30,000 euros per year, per instance."
"The cost is better than IBM Cloud Pak."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
Computer Software Company
23%
Financial Services Firm
18%
Manufacturing Company
6%
Government
6%
 

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
West
Find out what your peers are saying about Azure Data Factory vs. WSO2 Enterprise Integrator and other solutions. Updated: June 2025.
860,592 professionals have used our research since 2012.