"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 out-of-the-box features are simple and easy to use across the board."
"From a scalability standpoint, I would say it's pretty fantastic."
"Spotfire is excellent for scientific applications, especially because of its integration with RNG."
"The two features that I have found most valuable are its ability to customize the dashboards when it comes to the evaluation. The second feature is its ability to handle a large amount of data, which is also something very unique about it."
"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."
"The design of the UI could be improved."
"Personalising Spotfire, as a whole, is painful and is something that could be made easier."
"The handling and consumption of realtime data could be improved."
"When it comes to data manipulation, there are features which are good, but one of the features which has really been missing in Spotfire is an offline ability for data manipulation."
Spring Cloud Data Flow is ranked 16th in Data Integration Tools with 2 reviews while TIBCO Spotfire is ranked 10th in Business Intelligence (BI) Tools with 4 reviews. Spring Cloud Data Flow is rated 8.0, while TIBCO Spotfire is rated 8.6. The top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". On the other hand, the top reviewer of TIBCO Spotfire writes "Excellent for scientific applications with a good ability to customize". Spring Cloud Data Flow is most compared with Apache Flink, TIBCO BusinessWorks, Mule Anypoint Platform, Cloudera DataFlow and Apache Spark Streaming, whereas TIBCO Spotfire is most compared with Microsoft BI, Tableau, Qlik Sense, QlikView and Alteryx.
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