Azure Data Factory vs WSO2 Enterprise Integrator comparison

Why PeerSpot?

Microsoft and WSO2 are both solutions in the Data Integration category. Microsoft is ranked #6 with an average rating of 8.0, while WSO2 is ranked #31 with an average rating of 9.0. Microsoft holds a 2.2% 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 97 Azure Data Factory reviews

16,078 Views
11,255 Comparison Views

92% willing to recommend

WSO2 Enterprise Integrator

Read 20 WSO2 Enterprise Integrator reviews

5,726 Views
3,378 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: November 2026).

Buyer's Guide

Azure Data Factory vs. WSO2 Enterprise Integrator

November 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

6th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (8th)

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) (6th)

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 4.4% compared to the previous year. The mindshare of WSO2 Enterprise Integrator is 1.0%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
WSO2 Enterprise Integrator	1.0%
Other	96.8%

Data Integration

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

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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.

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

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

"Azure Data Factory is an integration tool, an orchestration service tool; it is for data integration for the cloud."

"I am one hundred percent happy with the stability."

"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."

"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."

"The user interface is very good. It makes me feel very comfortable when I am using the tool."

"The data is more scalable."

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

More Azure Data Factory pros

"The customer service executives are very responsive."

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

"I like the user-friendly system and development of the service-oriented architecture."

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

"The drag-and-drop features for connectors are very valuable."

"The solution's customer service is good."

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

More WSO2 Enterprise Integrator pros

Cons

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

"Some of the optimization techniques are not scalable."

"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."

"Additionally, the ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features."

"It can improve from the perspective of active logging. It can provide active logging information."

"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."

"Understanding the pricing model for Data Factory is quite complex. It needs to be simplified, and easier to understand."

"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."

More Azure Data Factory cons

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

"WSO2 libraries are not mature enough. For example, if you want to integrate with Kafka using its Kafka library, it often has many bugs."

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

"They should release upgrades more frequently."

"The customization can be a bit difficult."

"I would like to see better documentation for the open-source version."

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

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

More WSO2 Enterprise Integrator cons

Pricing and Cost Advice

"I don't see a cost; it appears to be included in general support."

"It's not particularly expensive."

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

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

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

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

"ADF is cheaper compared to AWS."

"The cost is based on the amount of data sets that we are ingesting."

More Azure Data Factory pricing and cost advice

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

"It is a low-cost solution."

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

"The cost is better than IBM Cloud Pak."

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Financial Services Firm

10%

Outsourcing Company

Computer Software Company

Outsourcing Company

14%

Financial Services Firm

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	64

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 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Oracle Data Integrator (ODI) vs WSO2 Enterprise Integrator

Compared 7% of the time

Mule ESB vs WSO2 Enterprise Integrator

Compared 7% of the time

MuleSoft Anypoint Platform vs WSO2 Enterprise Integrator

Compared 6% of the time

IBM Integration Bus vs WSO2 Enterprise Integrator

Compared 6% of the time

Zapier vs WSO2 Enterprise Integrator

Compared 5% of the time

More WSO2 Enterprise Integrator Competitors

Product Reports

Buyer's Guide

Azure Data Factory

November 2026

Download Azure Data Factory product report

Buyer's Guide

WSO2 Enterprise Integrator

October 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

November 2026

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