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."The product is very user-friendly."
"The most valuable feature is real-time streaming."
"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 installation process is easy."
"It's a very complete product. It allows us to network security and add more layers of security to the system."
"The solution has two main parts: integration and transformation. It's very user-friendly and easy to understand for everyone."
"The productivity is the most valuable feature. It is very easy to write remediations."
"It's a consolidated product. It works and it does its job pretty well."
"The customer service executives are very responsive."
"WSO2's analytics capability is good, considering the ELC support they provide."
"The solution's technical support is very knowledgeable."
"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."
"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."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"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 administration side is complex and could use significant improvements to enhance the solution's functionality."
"If I have to buy software, then it becomes expensive for me."
"They should introduce better pricing for small companies."
"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues."
"In my opinion, the administration model and interface, of Carbon, are lacking in terms of its features and user experience."
"The setup can be difficult for those not familiar with the solution."
"The micro integrator should be improved. There is room for enhancement considering alternative integration components."
Spring Cloud Data Flow is ranked 29th 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 Boomi AtomSphere Integration, whereas WSO2 Enterprise Integrator is most compared with Red Hat Fuse, IBM Integration Bus, Oracle Service Bus, webMethods Integration Server and SAP Process Orchestration.
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.
