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 8.1, while WSO2 is ranked #27 with an average rating of 7.6. Microsoft holds a 11.0% mindshare in DI, compared to WSO2’s 0.5% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 75% of WSO2 users who would recommend it.

Azure Data Factory

Read 86 Azure Data Factory reviews

21,615 Views
17,232 Comparison Views

92% willing to recommend

WSO2 Enterprise Integrator

Read 19 WSO2 Enterprise Integrator reviews

841 Views
590 Comparison Views

75% 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 2024).

Buyer's Guide

Azure Data Factory vs. WSO2 Enterprise Integrator

December 2024

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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 (3rd)

WSO2 Enterprise Integrator

Ranking in Data Integration

27th

Average Rating

7.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Enterprise Service Bus (ESB) (7th)

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.0%, down from 13.3% compared to the previous year. The mindshare of WSO2 Enterprise Integrator is 0.5%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Thulani David Mngadi

Data architect at Old Mutual

Data flow feature is valuable for data transformation tasks

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.

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Ilir Lazaj

Senior Consultant at Capgemini

Consolidated, reliable, and has responsive technical support

There is a minor need to improve the ease of configuration. The configuration of the product is not an easy task for everyone. I agree that it has to be that way, as it's a good technology, however, maybe for people with low experience it can be hard. There can be a higher learning curve. The setup can be difficult for those not familiar with the solution. I'd like to see the possibility of configuring the product via consoles with more elasticity without having the need to go to the single files in the file system, add the files manually, and then restarting. We'd like to make some changes, some tuning of the product, using the administration console. If this is extended to the console, it would be great. We need more operations done by the console. It simplifies the life of the worker.

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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 most valuable feature is the ease in which you can create an ETL pipeline."

"The security of the agent that is installed on-premises is very good."

"Powerful but easy-to-use and intuitive."

"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."

"It is a complete ETL Solution."

"The most valuable aspect is the copy capability."

"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."

"Azure Data Factory became more user-friendly when data-flows were introduced."

More Azure Data Factory pros

"The solution has two main parts: integration and transformation. It's very user-friendly and easy to understand for everyone."

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

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

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

"The solution's customer service is good."

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

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

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

More WSO2 Enterprise Integrator pros

Cons

"The product integration with advanced coding options could cater to users needing more customization."

"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."

"The support and the documentation can be improved."

"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."

"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."

"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

"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."

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."

"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."

"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 integration capabilities need to be improved."

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

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

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

More WSO2 Enterprise Integrator cons

Pricing and Cost Advice

"It's not particularly expensive."

"Product is priced at the market standard."

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

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

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

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

"The solution's pricing is competitive."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

More Azure Data Factory pricing and cost advice

"The cost is better than IBM Cloud Pak."

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

"It is a low-cost solution."

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

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824,053 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Computer Software Company

28%

Financial Services Firm

15%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

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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?

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 e...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 13% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

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

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Oracle Service Bus vs WSO2 Enterprise Integrator

Compared 24% of the time

IBM Integration Bus vs WSO2 Enterprise Integrator

Compared 14% of the time

webMethods.io vs WSO2 Enterprise Integrator

Compared 11% of the time

TIBCO BusinessWorks vs WSO2 Enterprise Integrator

Compared 10% of the time

Red Hat Fuse vs WSO2 Enterprise Integrator

Compared 9% of the time

More WSO2 Enterprise Integrator Competitors

Product Reports

Buyer's Guide

Azure Data Factory

December 2024

Download Azure Data Factory product report

Buyer's Guide

WSO2 Enterprise Integrator

November 2024

Download WSO2 Enterprise Integrator product report

Learn More

Microsoft

WSO2

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.

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.

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 2024

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