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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
4th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
96
Ranking in other categories
Cloud Data Warehouse (5th)
WSO2 Enterprise Integrator
Ranking in Data Integration
28th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
20
Ranking in other categories
Enterprise Service Bus (ESB) (7th)
 

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.3%, down from 8.1% compared to the previous year. The mindshare of WSO2 Enterprise Integrator is 1.0%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.3%
WSO2 Enterprise Integrator1.0%
Other96.7%
Data Integration
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
Director at a computer software company with 1,001-5,000 employees
Integrates diverse data sources and streamlines ETL processes effectively
Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.
AC
Technical director at Cremete
Effective data transformation and integration in complex environments with high functionality
Something that could be improved in WSO2 Enterprise Integrator is that the problem is not a lack of capability or functionalities. The problem is that it is a very complex environment. To put your hand on this environment is a very demanding task. This is the real problem. The problem is not about the product, but about the complexity to manage, to configure, to decide what to do. I have some experience using SAP R/3. It seems to me something similar. When you have to configure a situation with a client, especially for a client not in an industrial sector, but in a service sector, it is quite usual that you are in trouble for some reason. This is always the story that I found in the implementations I have done. Maybe there are only three or four big problems, in some other cases there are more than that, but this is the situation usually. For WSO2 Enterprise Integrator, not the same, but I must say it is quite often there is a need to put together some pieces and make it work in a coordinated way.

Quotes from Members

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

Pros

"Data Factory itself is great, it's pretty straightforward, you can easily add sources, join and lookup information, etc., and the ease of use is pretty good."
"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 is a good tool."
"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 most important feature is that it can help you do the multi-threading concepts."
"Its integrability with the rest of the activities on Azure is most valuable."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"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."
"It's a very complete product. It allows us to network security and add more layers of security to the system."
"WSO2's analytics capability is good, considering the ELC support they provide."
"It's a consolidated product. It works and it does its job pretty well."
"The solution basically conforms to our standards."
"The installation process is easy."
"Currently, I find the configuration part quite valuable, where you can easily configure things."
"It was mostly easy to set up the product."
"The solution has two main parts: integration and transformation. It's very user-friendly and easy to understand for everyone."
 

Cons

"The only challenge with Azure Data Factory is its exception-handling mechanism."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"It's essentially just a black box. There is some monitoring that can be done, but when something goes wrong, even simple fixes are difficult to troubleshoot."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"Data Factory's cost is too high."
"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."
"I have not found any real shortcomings within the product."
"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."
"The micro integrator should be improved. There is room for enhancement considering alternative integration components."
"The administration side is complex and could use significant improvements to enhance the solution's functionality."
"Most of the issues we run into with the WSO2 Enterprise Integrator deal with customizations."
"I would like to see better documentation for the open-source version."
"The customization can be a bit difficult."
"The integration capabilities need to be improved."
"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."
"The setup can be difficult for those not familiar with the solution."
 

Pricing and Cost Advice

"The price you pay is determined by how much you use it."
"Data Factory is affordable."
"Pricing appears to be reasonable in my opinion."
"Pricing is comparable, it's somewhere in the middle."
"The solution's pricing is competitive."
"I would not say that this product is overly expensive."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"The solution costs about 20,000 or 30,000 euros per year, per instance."
"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 cost is better than IBM Cloud Pak."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Construction Company
6%
Financial Services Firm
11%
Comms Service Provider
8%
Construction Company
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise63
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise11
 

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 needs improvement with WSO2 Enterprise Integrator?
Something that could be improved in WSO2 Enterprise Integrator is that the problem is not a lack of capability or functionalities. The problem is that it is a very complex environment. To put your ...
What is your primary use case for WSO2 Enterprise Integrator?
A typical use case for WSO2 Enterprise Integrator is when I am in an interoperability environment with healthcare facilities and I have to put together a lot of applications that share some HL7 mes...
What advice do you have for others considering WSO2 Enterprise Integrator?
For simpler tasks or simpler use cases, we avoid using WSO2 Enterprise Integrator because it is quite complex. So it is easier to manage some more simple solutions than that. WSO2 Enterprise Integr...
 

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 2026.
902,456 professionals have used our research since 2012.