Azure Data Factory vs WSO2 Enterprise Integrator comparison

Microsoft and WSO2 are both solutions in the Data Integration category. Microsoft is ranked #5 with an average rating of 7.9, while WSO2 is ranked #28 with an average rating of 9.0. Microsoft holds a 2.3% 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 96 Azure Data Factory reviews

14,099 Views
9,728 Comparison Views

92% willing to recommend

WSO2 Enterprise Integrator

Read 20 WSO2 Enterprise Integrator reviews

4,606 Views
2,579 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: August 2026).

Buyer's Guide

Azure Data Factory vs. WSO2 Enterprise Integrator

August 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

5th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th)

WSO2 Enterprise Integrator

Ranking in Data Integration

28th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Enterprise Service Bus (ESB) (6th)

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.3%, down from 7.2% 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
Product	Mindshare (%)
Azure Data Factory	2.3%
WSO2 Enterprise Integrator	1.0%
Other	96.7%

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 initial setup is pretty simple and it can be deployed in a couple of hours."

"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."

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

"Azure Data Factory is a good tool."

"It has big potential, especially as a PaaS offering."

"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."

"The trigger scheduling options are decently robust."

"The most valuable feature of this solution is that it allows more data between on-premises and cloud solutions."

More Azure Data Factory pros

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

"The installation process is easy."

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

"It's a very complete product. It allows us to network security and add more layers of security to the system."

"The built-in connectors help with quick connectivity to the platforms, and we are using this for both our banking and insurance clients."

"The solution basically conforms to our standards."

"From the capabilities and functional possibility and anything else technical, it is a very well-done product, I have to say."

"The solution's technical support is very knowledgeable."

More WSO2 Enterprise Integrator pros

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."

"The product integration with advanced coding options could cater to users needing more customization."

"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."

"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

"It would be better if it had machine learning capabilities."

"The stability of Azure as a PaaS could be improved."

"The Microsoft documentation is too complicated."

"There's space for improvement in the development process of the data pipelines."

More Azure Data Factory cons

"The server is very specific and it is very difficult to get experience with it."

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

"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."

"The integration capabilities need to be improved."

"The administration side is complex and could use significant improvements to enhance the solution's functionality."

"The scalability is not strong. If you want to scale it you have to install multiple servers."

"They should release upgrades more frequently."

More WSO2 Enterprise Integrator cons

Pricing and Cost Advice

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"Data Factory is 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."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

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

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

"Pricing appears to be reasonable in my opinion."

More Azure Data Factory pricing and cost advice

"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."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

Financial Services Firm

10%

Outsourcing Company

10%

Construction Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	63

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 needs improvement with WSO2 Enterprise Integrator?

See all answers

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...

See all answers

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...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

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

Compared 4% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% 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 7% of the time

Mule ESB vs WSO2 Enterprise Integrator

Compared 7% of the time

IBM Integration Bus vs WSO2 Enterprise Integrator

Compared 7% of the time

Oracle Data Integrator (ODI) vs WSO2 Enterprise Integrator

Compared 6% of the time

Boomi iPaaS vs WSO2 Enterprise Integrator

Compared 5% of the time

More WSO2 Enterprise Integrator Competitors

Product Reports

Buyer's Guide

Azure Data Factory

August 2026

Download Azure Data Factory product report

Buyer's Guide

WSO2 Enterprise Integrator

July 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 is known for its robust integration and transformation capabilities with a user-friendly interface. It provides comprehensive API management, format conversion, and integration standardization, ensuring efficient and scalable operations.

WSO2 Enterprise Integrator is a versatile platform valued for integrating legacy systems, orchestrating APIs, and transforming data formats such as XML to JSON. Its open-source nature offers flexibility in adapting to diverse system requirements, making it a preferable choice in sectors like finance and healthcare. It helps expose internal services to external entities, supports microservices development, and fits well in enterprise service bus scenarios. Stability, performance, and cost-effectiveness are paramount, though customization and complex administration pose challenges. Improvements in documentation, integration studio, and support quality can enhance its service.

What are the key features?

User-Friendly GUI: Simplifies configuration and streamlines development tasks.
Integration and Transformation: Supports extensive adapters and connectors.
API Management: Facilitates format conversion and integration standardization.
Scalability and Performance: Ensures high stability and efficient operations.
Open-Source Flexibility: Allows seamless adaptation with diverse systems.

What benefits or ROI should users evaluate?

Cost-Effectiveness: Offers a competitive pricing model despite high initial costs.
Stability and Reliability: Delivers consistent performance suitable for mission-critical projects.
Flexibility: Accommodates complex requirements efficiently.
Scalable Solutions: Adapts to growing business needs without compromising performance.
Efficient Development: Speeds up tasks, improving developer productivity.

WSO2 Enterprise Integrator is applied across different industry scenarios, primarily in integration projects connecting legacy and external platforms. In finance and banking, it supports core integration initiatives, while healthcare uses it for interoperability. Organizations benefit from its deployment in both on-premise and industry-specific environments, where it aids in building and managing microservices and APIs effectively.

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

August 2026

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