We performed a comparison between Spring Cloud Data Flow and webMethods Integration Server 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."The product is very user-friendly."
"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 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."
"Some of the key features are the integration platform, query mechanism, message handling within the bus, and the rules engine. We've had a really good experience with webMethods Integration Server."
"High throughput and excellent scalability."
"I like the stability of the webMethods Integration Server."
"The Software AG Designer has been great. It's very intuitive."
"The product is very stable."
"What I like best about webMethods Integration Server is its portfolio of connectors."
"It has a good integration server, designer, and a very good API portal."
"The product supports various types of digital documents, including XMLs and EDI."
"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."
"The installation process should be simplified for first time users and be made more user-friendly."
"The product must add more compatible connectors."
"There should be better logging, or a better dashboard, to allow you to see see the logs of the services."
"We'd like for them to open up to a more cloud-based solution that could offer more flexibility and maybe a better rules engine or more integration with rules engines."
"Large file handling is pretty hard comparatively to other middleware tools."
"The price should be reduced to make it more affordable."
"We need more dashboards and reporting engines that can provide detailed information for management. In short, we need better analytics."
"I'd like to see the admin portal for managing the integration server go up a level, to have more capabilities and to be given a more modern web interface."
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Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews while webMethods Integration Server is ranked 3rd in Enterprise Service Bus (ESB) with 60 reviews. Spring Cloud Data Flow is rated 8.0, while webMethods Integration Server is rated 8.0. 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 webMethods Integration Server writes "Event-driven with lots of helpful formats, but minimal learning resources available". Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks, whereas webMethods Integration Server is most compared with IBM Integration Bus, webMethods.io Integration, Mule ESB, TIBCO BusinessWorks and Boomi AtomSphere Integration. See our Spring Cloud Data Flow vs. webMethods Integration Server report.
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