We performed a comparison between Azure Data Factory and WSO2 Enterprise Integrator based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's extremely consistent."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"From what we have seen so far, the solution seems very stable."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"The best part of this product is the extraction, transformation, and load."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"The solution has two main parts: integration and transformation. It's very user-friendly and easy to understand for everyone."
"The stability is excellent."
"The solution's technical support is very knowledgeable."
"The drag-and-drop features for connectors are very valuable."
"It was mostly easy to set up the product."
"The customer service executives are very responsive."
"The productivity is the most valuable feature. It is very easy to write remediations."
"The solution basically conforms to our standards."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"Some of the optimization techniques are not scalable."
"There aren't many third-party extensions or plugins available in the solution."
"Data Factory's performance during heavy data processing isn't great."
"The initial setup is not very straightforward."
"Azure Data Factory's pricing in terms of utilization could be improved."
"The setup and configuration process could be simplified."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"The setup can be difficult for those not familiar with the solution."
"The customization can be a bit difficult."
"They should release upgrades more frequently."
"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues."
"The administration side is complex and could use significant improvements to enhance the solution's functionality."
"The micro integrator should be improved. There is room for enhancement considering alternative integration components."
"The product's price is an area of concern where improvements are required."
"If I have to buy software, then it becomes expensive for me."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while WSO2 Enterprise Integrator is ranked 19th in Data Integration with 18 reviews. Azure Data Factory is rated 8.0, while WSO2 Enterprise Integrator is rated 7.6. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of WSO2 Enterprise Integrator writes "Consolidated, reliable, and has responsive technical support". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas WSO2 Enterprise Integrator is most compared with Red Hat Fuse, Oracle Service Bus, IBM Integration Bus, webMethods Integration Server and Talend Open Studio. See our Azure Data Factory vs. WSO2 Enterprise Integrator report.
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We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
