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

Download the report

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

Download the complete report

Helped 908,834 peers since 2012

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.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"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."

"The solution has a good interface and the integration with GitHub is very useful."

"Data Factory's most valuable feature is Copy Activity."

"Azure Data Factory was not difficult to deploy because it is a small area, so we completed it very quickly."

"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."

"The flexibility that Azure Data Factory offers is great."

More Azure Data Factory pros

"It was mostly easy to set up the product."

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

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

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

"It has improved our time management because development is quicker."

"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 solution's technical support is very knowledgeable."

"WSO2 Enterprise Integrator may cost you about twenty-five thousand dollars annually per year compared to IBM Cloud Pak, which would cost you around one million dollars."

More WSO2 Enterprise Integrator pros

Cons

"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."

"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."

"Lacks in-built streaming data processing."

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

"The product could provide more ways to import and export data."

"DataStage is easier to learn than Data Factory because it's more visual."

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

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

More Azure Data Factory cons

"The configuration of the product is not an easy task for everyone."

"They should introduce better pricing for small companies."

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

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

"If I have to buy software, then it becomes expensive for me."

"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 customization can be a bit difficult."

"The micro integrator should be improved. There is room for enhancement considering alternative integration components."

More WSO2 Enterprise Integrator cons

Pricing and Cost Advice

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

"Understanding the pricing model for Data Factory is quite complex."

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

"I would not say that this product is overly expensive."

"The price you pay is determined by how much you use it."

"Azure products generally offer competitive pricing, suitable for diverse budget considerations."

"The solution is cheap."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

More Azure Data Factory pricing and cost advice

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

"The cost is better than IBM Cloud Pak."

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

"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 open-source, unsupported version is available free of charge."

"It is a low-cost solution."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

908,834 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

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

Free Report: Azure Data Factory vs. WSO2 Enterprise Integrator

Find out what your peers are saying about Azure Data Factory vs. WSO2 Enterprise Integrator and other solutions. Updated: August 2026.

DOWNLOAD NOW

908,834 professionals have used our research since 2012.

See our Azure Data Factory vs. WSO2 Enterprise Integrator report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.