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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 February 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.1%, down from 12.9% compared to the previous year. The mindshare of WSO2 Enterprise Integrator is 0.4%, 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 has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"The data is more scalable."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."
"The solution can scale very easily."
"The most important feature is that it can help you do the multi-threading concepts."
"Azure Data Factory is a low code, no code platform, which is helpful."
"It was mostly easy to set up the product."
"It's a consolidated product. It works and it does its job pretty well."
"The installation process is easy."
"The productivity is the most valuable feature. It is very easy to write remediations."
"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 has two main parts: integration and transformation. It's very user-friendly and easy to understand for everyone."
"The solution's customer service is good."
"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."
 

Cons

"The solution needs to be more connectable to its own services."
"We have experienced some issues with the integration. This is an area that needs improvement."
"Some of the optimization techniques are not scalable."
"It would be better if it had machine learning capabilities."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"There is no built-in pipeline exit activity when encountering an error."
"The integration capabilities need to be improved."
"WSO2 libraries are not mature enough. For example, if you want to integrate with Kafka using its Kafka library, it often has many bugs."
"In my opinion, the administration model and interface, of Carbon, are lacking in terms of its features and user experience."
"One of the reasons that we are looking for a replacement is their way of defining integration. The language of the XML structures that I use to describe the integrations are not that standard, and it's not easy to find people who are familiar with this approach."
"The server is very specific and it is very difficult to get experience with it."
"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 customization can be a bit difficult."
"If I have to buy software, then it becomes expensive for me."
 

Pricing and Cost Advice

"Pricing appears to be reasonable in my opinion."
"The licensing cost is included in the Synapse."
"It's not particularly expensive."
"Data Factory is expensive."
"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"Understanding the pricing model for Data Factory is quite complex."
"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."
"The solution costs about 20,000 or 30,000 euros per year, per instance."
"It is a low-cost solution."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Computer Software Company
27%
Financial Services Firm
16%
Manufacturing Company
6%
Insurance Company
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: January 2025.
838,713 professionals have used our research since 2012.