We performed a comparison between Spring Cloud Data Flow and TIBCO Spotfire 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."
"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 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."
"It's scalable."
"The product's initial setup phase was simple."
"The out-of-the-box features are simple and easy to use across the board."
"R and automation services."
"I appreciate Spotfire's range of visualization options, advanced analytics features, and seamless integration with other TIBCO products."
"Spotfire is excellent for scientific applications, especially because of its integration with RNG."
"It’s stable and straightforward."
"The most valuable features of TIBCO Spotfire are visualization. It's very nice, clear, and, flexible. You can analyze many data types and the user interface is very good."
"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."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"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."
"When you do the data loading, it is slow."
"I would like to see the visualization library in this solution expanded, so that I can increase what I can offer to our clients."
"The initial setup of TIBCO Spotfire is in the middle range of difficulty. The initial setup of Power BI is easier."
"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."
"We would like an easier way to get the product to the cloud. Right now, we have the on-premise version, and we would like to find a way to make it easier to migrate it over to the cloud."
"We encountered difficulties connecting the special data sets, as the post data set did not contain any shared columns, making it difficult to establish a connection between the data sets."
"Personalising Spotfire, as a whole, is painful and is something that could be made easier."
"Compared to competitors, the UI is quite dated."
Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews while TIBCO Spotfire is ranked 13th in BI (Business Intelligence) Tools with 66 reviews. Spring Cloud Data Flow is rated 8.0, while TIBCO Spotfire is rated 8.2. 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 Spotfire writes "A robust BI tool, with good dashboard features and adverse event tracking". Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, Qlik Sense, QlikView and Amazon QuickSight. See our Spring Cloud Data Flow vs. TIBCO Spotfire report.
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