We performed a comparison between Spring Cloud Data Flow and TIBCO BusinessWorks 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."
"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 most valuable feature is real-time streaming."
"Areas for improvement would be the cloud fitness of the product and the ease of migrating to newer versions."
"The most valuable features are the stability and the time to market."
"The most important thing is that it is easy for developers to work with."
"The solution is stable. We haven't had any serious technical issues."
"Customer support is very efficient."
"The most valuable feature is the integration."
"One of the most valuable features is that it's a simple development. It takes a short time to get services to work."
"The initial setup of TIBCO BusinessWorks was straightforward since we have used the solution in our organization for a long time."
"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 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."
"I'd like to see a new cloud approach in the next release. They need to work on integrations, stability and management issues on their cloud platform."
"I would like the solution to be integrated into the cloud."
"There is room for improvement on the learning side."
"Could be more user friendly in the development area."
"There are multiple plugins which increase the number of product installations."
"A possible improvement could be to give the capability to use different profiles for each AppNode when an application is deployed on an AppSpace."
"TIBCO BusinessWorks could be improved with cloud support."
"Though it is a stable product, if we have an issue with the product, it gets difficult, and it gets really difficult to explain the issue to the support team. Also, it takes a long time to get resolved."
Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews while TIBCO BusinessWorks is ranked 18th in Data Integration with 23 reviews. Spring Cloud Data Flow is rated 8.0, while TIBCO BusinessWorks 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 TIBCO BusinessWorks writes "Reliable integration solution with robust communication capabilities and good scalability". Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and Mule Anypoint Platform, whereas TIBCO BusinessWorks is most compared with webMethods Integration Server, Mule Anypoint Platform, Talend Open Studio, Confluent and Informatica PowerCenter.
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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.
