Azure Data Factory vs WSO2 Enterprise Integrator comparison

Microsoft and WSO2 are both solutions in the Data Integration category. Microsoft is ranked #4 with an average rating of 8.1, 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

12,975 Views
9,083 Comparison Views

92% willing to recommend

WSO2 Enterprise Integrator

Read 20 WSO2 Enterprise Integrator reviews

3,988 Views
2,193 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: June 2026).

Buyer's Guide

Azure Data Factory vs. WSO2 Enterprise Integrator

June 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

4th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

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 June 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.3%, down from 8.1% 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 flexibility that Azure Data Factory offers is great."

"The most valuable feature of this solution would be ease of use."

"We use the solution to move data from on-premises to the cloud."

"The reason that we implemented this product is for the full integration with the whole Azure environment."

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

"Microsoft's technical support is responsive and quick to help."

"The solution can scale very easily."

"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."

More Azure Data Factory pros

"The solution basically conforms to our standards."

"The customer service executives are very responsive."

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

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

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

"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."

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

More WSO2 Enterprise Integrator pros

Cons

"The only thing that we're struggling with is increasing the competency of my team, so we think that the Microsoft documentation is too complicated."

"Real-time replication is required, and this is not a simple task."

"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."

"When you raise an issue, sometimes the people who are available are unfamiliar with that particular technology, so they have to route the issue to the concerned person."

"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."

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

"Lacks a decent UI that would give us a view of the kinds of requests that come in."

"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."

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."

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

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

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

"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues."

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

"They should release upgrades more frequently."

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

More WSO2 Enterprise Integrator cons

Pricing and Cost Advice

"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."

"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."

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

"Pricing appears to be reasonable in my opinion."

"The pricing model is based on usage and is not cheap."

"The licensing cost is included in the Synapse."

"It's not particularly expensive."

More Azure Data Factory pricing and cost advice

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

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

"It is a low-cost solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

Manufacturing Company

Construction Company

Financial Services Firm

11%

Comms Service Provider

Construction Company

Manufacturing Company

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 5% of the time

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

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

MuleSoft Anypoint Platform vs WSO2 Enterprise Integrator

Compared 8% of the time

IBM Integration Bus vs WSO2 Enterprise Integrator

Compared 7% of the time

Mule ESB vs WSO2 Enterprise Integrator

Compared 7% of the time

Boomi iPaaS vs WSO2 Enterprise Integrator

Compared 5% of the time

Zapier vs WSO2 Enterprise Integrator

Compared 3% of the time

More WSO2 Enterprise Integrator Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2026

Download Azure Data Factory product report

Buyer's Guide

WSO2 Enterprise Integrator

May 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

June 2026

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