We performed a comparison between Spring Cloud Data Flow 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."There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"The product is very user-friendly."
"The most valuable feature is real-time streaming."
"The drag-and-drop features for connectors are very valuable."
"The solution's customer service is good."
"The customer service executives are very responsive."
"It's a consolidated product. It works and it does its job pretty well."
"WSO2's analytics capability is good, considering the ELC support they provide."
"The solution basically conforms to our standards."
"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."
"It's a very complete product. It allows us to network security and add more layers of security to the system."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues."
"The micro integrator should be improved. There is room for enhancement considering alternative integration components."
"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."
"If I have to buy software, then it becomes expensive for me."
"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."
"The server is very specific and it is very difficult to get experience with it."
"The setup can be difficult for those not familiar with the solution."
Spring Cloud Data Flow is ranked 27th in Data Integration with 5 reviews while WSO2 Enterprise Integrator is ranked 19th in Data Integration with 18 reviews. Spring Cloud Data Flow is rated 8.0, while WSO2 Enterprise Integrator is rated 7.6. The top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". On the other hand, the top reviewer of WSO2 Enterprise Integrator writes "Consolidated, reliable, and has responsive technical support". Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming and TIBCO BusinessWorks, whereas WSO2 Enterprise Integrator is most compared with Oracle Service Bus, Red Hat Fuse, IBM Integration Bus, webMethods Integration Server and SnapLogic. See our Spring Cloud Data Flow vs. WSO2 Enterprise Integrator report.
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