Azure Data Factory vs WSO2 Enterprise Integrator comparison

Microsoft and WSO2 are both solutions in the Data Integration category. Microsoft is ranked #3 with an average rating of 8.2, while WSO2 is ranked #31 with an average rating of 8.0. Microsoft holds a 2.8% mindshare in DI, compared to WSO2’s 1.0% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 76% of WSO2 users who would recommend it.

Azure Data Factory

Read 94 Azure Data Factory reviews

10,752 Views
7,526 Comparison Views

92% willing to recommend

WSO2 Enterprise Integrator

Read 20 WSO2 Enterprise Integrator reviews

2,594 Views
1,349 Comparison Views

76% willing to recommend

Azure Data Factory

WSO2 Enterprise Integrator

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

WSO2 Enterprise Integrator and Azure Data Factory compete in the data integration and transformation domain. Azure Data Factory has an advantage due to its extensive cloud capabilities, scalability, and feature variety, making it a preferred choice for many organizations.

Features: WSO2 Enterprise Integrator offers API management, ESB functionality, and message brokering, providing a comprehensive integration solution on a single platform. In contrast, Azure Data Factory provides cloud-based data integration with data transformation, orchestration, and extensive third-party integration support. Its cloud-native approach ensures scalability and broad compatibility with various data services, giving it an edge in feature variety and cloud integration capabilities.

Room for Improvement: WSO2 Enterprise Integrator could enhance its cloud integration capabilities and ease of deployment in hybrid environments. It might also benefit from improved automation and scalability features. Azure Data Factory could improve its on-premises integration support, refine user interface consistency, and enhance its documentation for complex workflows.

Ease of Deployment and Customer Service: WSO2 Enterprise Integrator requires in-house expertise for on-premises or hybrid deployments, offering robust community and commercial support for complex implementations. Azure Data Factory uses a fully managed cloud environment, simplifying deployment within the Microsoft ecosystem and offering comprehensive documentation and a global support network, facilitating easier cloud deployments.

Pricing and ROI: WSO2 Enterprise Integrator is cost-effective due to its open-source nature, offering lower initial setup costs and higher ROI for organizations with dedicated IT resources. Azure Data Factory's scalable, pay-as-you-go pricing model demands a higher initial investment but results in significant ROI through reduced long-term infrastructure costs and extensive cloud capabilities.

To learn more, read our detailed Azure Data Factory vs. WSO2 Enterprise Integrator Report (Updated: March 2026).

Buyer's Guide

Azure Data Factory vs. WSO2 Enterprise Integrator

March 2026

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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

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

WSO2 Enterprise Integrator

Ranking in Data Integration

31st

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Enterprise Service Bus (ESB) (7th)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.8%, down from 9.7% compared to the previous year. The mindshare of WSO2 Enterprise Integrator is 1.0%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.8%
WSO2 Enterprise Integrator	1.0%
Other	96.2%

Data Integration

Featured Reviews

KandaswamyMuthukrishnan

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.

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Andrea Cuccarini

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.

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Quotes from Members

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

Pros

"The most valuable aspect is the copy capability."

"It is beneficial that the solution is written with Spark as the back end."

"The data pipeline and the orchestration functionality are the most valuable aspects of the solution, and the interface is very good, as it seeks to be very responsive and intuitive."

"I find that the solution integrates well with cloud technologies, which we are using for different clouds like Snowflake and AWS."

"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."

"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface, so that eases the entire process."

"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."

"Azure Data Factory is a low code, no code platform, which is helpful."

More Azure Data Factory pros

"The learning curve for this solution is very good."

"The productivity is the most valuable feature. It is very easy to write remediations."

"The most valuable aspect of the solution is the integration between core banking and other systems."

"The solution's customer service is good."

"The installation process is easy."

"The productivity is the most valuable feature; it is very easy to write remediations."

"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."

"It's a consolidated product. It works and it does its job pretty well."

More WSO2 Enterprise Integrator pros

Cons

"I did not see any positive impact from Azure Data Factory overall."

"When the record fails, it's tough to identify and log."

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API."

"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."

"Some known bugs and issues with Azure Data Factory could be rectified."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"To my mind, the solution needs to be more connectable to its own services."

More Azure Data Factory cons

"There are a lot of security settings that when you apply you have to re-apply again every time you modify a setting."

"In my opinion, the administration model and interface, of Carbon, are lacking in terms of its features and user experience."

"We had some challenges with the installation of this solution."

"Most of the issues we run into with the WSO2 Enterprise Integrator deal with customizations."

"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 setup can be difficult for those not familiar with the solution."

"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."

"The product's price is an area of concern where improvements are required."

More WSO2 Enterprise Integrator cons

Pricing and Cost Advice

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"The solution is cheap."

"Pricing is comparable, it's somewhere in the middle."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

"The price is fair."

"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."

"The pricing is a bit on the higher end."

More Azure Data Factory pricing and cost advice

"The pricing of WSO2 Enterprise Integrator for enterprise subscriptions can be considered expensive, especially from the perspective of someone who prefers open-source software."

"It is a low-cost solution."

"The solution costs about 20,000 or 30,000 euros per year, per instance."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

11%

Manufacturing Company

Government

Financial Services Firm

Comms Service Provider

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	20
Large Enterprise	57

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	11

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.

See all answers

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...

See all answers

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...

See all answers

What do you like most about WSO2 Enterprise Integrator?

WSO2's analytics capability is good, considering the ELC support they provide.

See all answers

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...

See all answers

What needs improvement with WSO2 Enterprise Integrator?

See all answers

Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 5% of the time

Snowflake vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 4% of the time

FME vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

MuleSoft Anypoint Platform vs WSO2 Enterprise Integrator

Compared 10% of the time

IBM Integration Bus vs WSO2 Enterprise Integrator

Compared 8% of the time

Mule ESB vs WSO2 Enterprise Integrator

Compared 7% of the time

Boomi iPaaS vs WSO2 Enterprise Integrator

Compared 6% of the time

Oracle Service Bus vs WSO2 Enterprise Integrator

Compared 4% of the time

More WSO2 Enterprise Integrator Competitors

Product Reports

Buyer's Guide

Azure Data Factory

March 2026

Download Azure Data Factory product report

Buyer's Guide

WSO2 Enterprise Integrator

February 2026

Download WSO2 Enterprise Integrator product report

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

WSO2 Enterprise Integrator, core to the WSO2 Integration Agile Platform, is an open source Integration product for cloud native and container-native projects. It enables enterprise integration experts to build, scale, and secure sophisticated integration solutions to achieve digital agility. Unlike other integration products, WSO2 Enterprise Integrator already contains integration runtimes, message brokering, business process modeling, analytics and visual tooling capabilities.

WSO2

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

Buyer's Guide

Azure Data Factory vs. WSO2 Enterprise Integrator

March 2026

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