Azure Data Factory vs WSO2 Enterprise Integrator comparison

Microsoft and WSO2 are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while WSO2 is ranked #32 with an average rating of 8.0. Microsoft holds a 5.2% mindshare in DI, compared to WSO2’s 0.8% 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 92 Azure Data Factory reviews

13,131 Views
9,192 Comparison Views

92% willing to recommend

WSO2 Enterprise Integrator

Read 20 WSO2 Enterprise Integrator reviews

1,766 Views
742 Comparison Views

76% willing to recommend

Azure Data Factory

WSO2 Enterprise Integrator

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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 2025).

Buyer's Guide

Azure Data Factory vs. WSO2 Enterprise Integrator

September 2025

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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

1st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

WSO2 Enterprise Integrator

Ranking in Data Integration

32nd

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Enterprise Service Bus (ESB) (7th)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. The mindshare of WSO2 Enterprise Integrator is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	5.2%
WSO2 Enterprise Integrator	0.8%
Other	94.0%

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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Ritesh_Shah

Senior Solution Architect at Hewlett Packard Enterprise

Decreases the development timeframe and costs

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. Often, customers decide to develop using open-source tools like Spring Boot if there aren't many connectors required to avoid increasing costs. They'll develop this way and then deploy using APIM, the bare minimum needed. It is mainly required for very complicated setups with many connectors. In the implementations I've seen, people often used open-source tools because there weren't many third-party systems involved—just their organization's own systems. From WSO2 Enterprise Integrator, I expect them to bring up more and more connectors in the future. That's the main expectation. Having more connectors in various areas will help us when discussing new requirements. I don't have any specific use case right now, so I can't name a particular connector. But, as new technologies emerge, the relevant connectors should be there for those. WSO2 Enterprise Integrator mainly helps with the integration part, which can be simplified only if you have relevant connectors for whatever you're doing.

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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

"I like that it's a monolithic data platform. This is why we propose these solutions."

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."

"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."

"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

"Data Factory's best features are simplicity and flexibility."

"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."

"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 most important feature is that it can help you do the multi-threading concepts."

More Azure Data Factory pros

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

"The stability is excellent."

"The installation process is easy."

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

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

"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."

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

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

More WSO2 Enterprise Integrator pros

Cons

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."

"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."

"There is a problem with the integration with third-party solutions, particularly with SAP."

"There aren't many third-party extensions or plugins available in the solution."

"I would like to see this time travel feature in Snowflake added to Azure Data Factory."

"The product's technical support has certain shortcomings, making it an area where improvements are required."

More Azure Data Factory cons

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

"They should introduce better pricing for small companies."

"They should release upgrades more frequently."

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

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

"There are a lot of security settings that when you apply you have to re-apply again every time you modify a setting. It is something that really needs to be enhanced."

More WSO2 Enterprise Integrator cons

Pricing and Cost Advice

"Data Factory is affordable."

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

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

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

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

"Data Factory is expensive."

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

"I would rate Data Factory's pricing nine out of ten."

More Azure Data Factory pricing and cost advice

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

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

"The cost is better than IBM Cloud Pak."

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

"I rate the product price a six on a scale of one to ten, where one is low price and ten is high price."

"It is a low-cost solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Government

Financial Services Firm

16%

Computer Software Company

15%

Government

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

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 do you like most about WSO2 Enterprise Integrator?

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

See all answers

What is your experience regarding pricing and costs for WSO2 Enterprise Integrator?

The product has reasonable and competitive pricing for enterprise customers. It is expensive for small businesses especially. They are using the open-source solution, and they find it expensive sin...

See all answers

What needs improvement with WSO2 Enterprise Integrator?

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 ...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 9% of the time

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

Compared 7% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 6% of the time

FME vs Azure Data Factory

Compared 6% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Oracle Service Bus vs WSO2 Enterprise Integrator

Compared 14% of the time

IBM Integration Bus vs WSO2 Enterprise Integrator

Compared 11% of the time

Spring Cloud Data Flow vs WSO2 Enterprise Integrator

Compared 8% of the time

webMethods.io vs WSO2 Enterprise Integrator

Compared 8% of the time

TIBCO BusinessWorks vs WSO2 Enterprise Integrator

Compared 7% of the time

More WSO2 Enterprise Integrator Competitors

Product Reports

Buyer's Guide

Azure Data Factory

September 2025

Download Azure Data Factory product report

Buyer's Guide

WSO2 Enterprise Integrator

September 2025

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, core to the WSO2 Integration Agile Platform, is an open source Integration product for cloud native and container-native projects. It enables enterprise integration experts to build, scale, and secure sophisticated integration solutions to achieve digital agility. Unlike other integration products, WSO2 Enterprise Integrator already contains integration runtimes, message brokering, business process modeling, analytics and visual tooling capabilities.

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 2025

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