Try our new research platform with insights from 80,000+ expert users

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

"It is a complete ETL Solution."
"The function of the solution is great."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"The data is more scalable."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"It's a consolidated product. It works and it does its job pretty well."
"In my opinion, the most valuable aspect of this solution is its extensive range of adaptors and connectors. This feature holds significant importance and provides great value to users."
"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."
"The solution's technical support is very knowledgeable."
"It's a very complete product. It allows us to network security and add more layers of security to the system."
"The solution basically conforms to our standards."
"The learning curve for this solution is very good."
"The solution has two main parts: integration and transformation. It's very user-friendly and easy to understand for everyone."
 

Cons

"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"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."
"I have not found any real shortcomings within the product."
"We have experienced some issues with the integration. This is an area that needs improvement."
"There is a problem with the integration with third-party solutions, particularly with SAP."
"Some known bugs and issues with Azure Data Factory could be rectified."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"There aren't many third-party extensions or plugins available in the solution."
"The administration side is complex and could use significant improvements to enhance the solution's functionality."
"They should introduce better pricing for small companies."
"The server is very specific and it is very difficult to get experience with it."
"I would like to see better documentation for the open-source version."
"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues."
"You cannot include the validation of XPath."
"WSO2 libraries are not mature enough. For example, if you want to integrate with Kafka using its Kafka library, it often has many bugs."
"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."
 

Pricing and Cost Advice

"Understanding the pricing model for Data Factory is quite complex."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"The price is fair."
"The solution is cheap."
"The price you pay is determined by how much you use it."
"It's not particularly expensive."
"ADF is cheaper compared to AWS."
"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 open-source, unsupported version is available free of charge."
"I rate the product price a six on a scale of one to ten, where one is low price and ten is high price."
"The cost is better than IBM Cloud Pak."
"The solution costs about 20,000 or 30,000 euros per year, per instance."
"It is a low-cost solution."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
845,589 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
6%
Computer Software Company
24%
Financial Services Firm
16%
Manufacturing Company
6%
Insurance Company
5%
 

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: April 2025.
845,589 professionals have used our research since 2012.