We performed a comparison between Spring Cloud Data Flow and WSO2 Enterprise Integrator based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."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 product is very user-friendly."
"The most valuable feature is real-time streaming."
"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 learning curve for this solution is very good."
"It was mostly easy to set up the product."
"The stability is excellent."
"The solution's technical support is very knowledgeable."
"The customer service executives are very responsive."
"It's a very complete product. It allows us to network security and add more layers of security to the system."
"The solution basically conforms to our standards."
"Currently, I find the configuration part quite valuable, where you can easily configure things."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"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."
"WSO2 libraries are not mature enough. For example, if you want to integrate with Kafka using its Kafka library, it often has many bugs."
"You cannot include the validation of XPath."
"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues."
"They should release upgrades more frequently."
"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."
"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."
"The micro integrator should be improved. There is room for enhancement considering alternative integration components."
Spring Cloud Data Flow is ranked 28th 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, Azure Data Factory and webMethods Integration Server, whereas WSO2 Enterprise Integrator is most compared with Red Hat Fuse, Oracle Service Bus, IBM Integration Bus, webMethods Integration Server and Boomi AtomSphere Integration.
See our list of best Data Integration vendors.
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.
