Azure Data Factory vs WSO2 Enterprise Integrator comparison

Why PeerSpot?

Microsoft and WSO2 are both solutions in the Data Integration category. Microsoft is ranked #5 with an average rating of 8.0, while WSO2 is ranked #28 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

14,793 Views
10,207 Comparison Views

92% willing to recommend

WSO2 Enterprise Integrator

Read 20 WSO2 Enterprise Integrator reviews

5,045 Views
2,876 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: September 2026).

Buyer's Guide

Azure Data Factory vs. WSO2 Enterprise Integrator

September 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) (7th)

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.5% 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 will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."

"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."

"The data flows were beneficial, allowing us to perform multiple transformations."

"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."

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

"Instead of individual people reviewing these files, we were able to automate the ingestion process, which saved a bunch of time and hours of repeated manual work."

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

"The most valuable part of this product is the ease of use, as it is easy to use and rather intuitive, and because it is easy to use, you can do things with it easily, making your work easier and therefore more valuable."

More Azure Data Factory pros

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

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

"The customer service executives are very responsive."

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

"The stability is excellent."

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

"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."

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

More WSO2 Enterprise Integrator pros

Cons

"Lacks in-built streaming data processing."

"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."

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

"Data Factory's monitorability could be better."

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

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

"There are limitations when processing more than one GD file."

"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."

More Azure Data Factory cons

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

"They should release upgrades more frequently."

"For simpler tasks or simpler use cases, we avoid using WSO2 Enterprise Integrator because it is quite complex."

"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."

"You cannot include the validation of XPath."

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

More WSO2 Enterprise Integrator cons

Pricing and Cost Advice

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

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

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

"The price is fair."

"It's not particularly expensive."

"Pricing appears to be reasonable in my opinion."

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

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

More Azure Data Factory pricing and cost advice

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

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

"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 cost is better than IBM Cloud Pak."

"It is a low-cost solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

Outsourcing Company

14%

Financial Services Firm

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	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

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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

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Mule ESB vs WSO2 Enterprise Integrator

Compared 7% of the time

Oracle Data Integrator (ODI) vs WSO2 Enterprise Integrator

Compared 6% 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

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

September 2026

Download Azure Data Factory product report

Buyer's Guide

WSO2 Enterprise Integrator

August 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

September 2026

Free Report: Azure Data Factory vs. WSO2 Enterprise Integrator

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