Azure Data Factory vs WSO2 Enterprise Integrator comparison

Microsoft and WSO2 are both solutions in the Data Integration category. Microsoft is ranked #3 with an average rating of 8.2, while WSO2 is ranked #32 with an average rating of 8.0. Microsoft holds a 3.2% mindshare in DI, compared to WSO2’s 0.9% 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 93 Azure Data Factory reviews

11,197 Views
7,838 Comparison Views

92% willing to recommend

WSO2 Enterprise Integrator

Read 20 WSO2 Enterprise Integrator reviews

2,011 Views
1,046 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: December 2025).

Buyer's Guide

Azure Data Factory vs. WSO2 Enterprise Integrator

December 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

3rd

Average Rating

8.0

Reviews Sentiment

6.8

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 January 2026, in the Data Integration category, the mindshare of Azure Data Factory is 3.2%, down from 10.0% compared to the previous year. The mindshare of WSO2 Enterprise Integrator is 0.9%, 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	3.2%
WSO2 Enterprise Integrator	0.9%
Other	95.9%

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 data is more scalable."

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

"We haven't had any issues connecting it to other products."

"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."

"An excellent tool for pipeline orchestration."

"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."

"The solution handles large volumes of data very well. One of its best features is its ability to integrate data end-to-end, from pulling data from the source to accessing Databricks. This makes it quite useful for our needs."

"Azure Data Factory is a low code, no code platform, which is helpful."

More Azure Data Factory pros

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

"The solution's customer service is good."

"The solution basically conforms to our standards."

"The installation process is easy."

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

"Currently, I find the configuration part quite valuable, where you can easily configure things."

"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 learning curve for this solution is very good."

More WSO2 Enterprise Integrator pros

Cons

"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."

"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."

"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."

"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."

"We require Azure Data Factory to be able to connect to Google Analytics."

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

"Some prebuilt data source or data connection aspects are generic."

"Lacks in-built streaming data processing."

More Azure Data Factory cons

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

"The server is very specific and it is very difficult to get experience with it."

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

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

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

"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."

"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."

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."

"ADF is cheaper compared to AWS."

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

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

"Pricing appears to be reasonable in my opinion."

"This is a cost-effective solution."

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

"The price is fair."

More Azure Data Factory pricing and cost advice

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

"The cost is better than IBM Cloud Pak."

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

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

"It is a low-cost solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

Government

Financial Services Firm

11%

Computer Software Company

Comms Service Provider

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	57

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?

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 7% of the time

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

Compared 6% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 4% of the time

FME vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Mule ESB vs WSO2 Enterprise Integrator

Compared 10% of the time

IBM Integration Bus vs WSO2 Enterprise Integrator

Compared 10% of the time

MuleSoft Anypoint Platform vs WSO2 Enterprise Integrator

Compared 7% of the time

Oracle Service Bus vs WSO2 Enterprise Integrator

Compared 5% of the time

Red Hat Fuse vs WSO2 Enterprise Integrator

Compared 5% of the time

More WSO2 Enterprise Integrator Competitors

Product Reports

Buyer's Guide

Azure Data Factory

January 2026

Download Azure Data Factory product report

Buyer's Guide

WSO2 Enterprise Integrator

January 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, 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

December 2025

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