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 most valuable feature is real-time streaming."
"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."
"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."
"Data discovery is very simple."
"It allows users to quickly analyze data from a variety of sources and visualize it with powerful, interactive graphs, and charts."
"The ability to create a real-time data mark, using just one piece of software, is the best feature of this product."
"The product's initial setup phase was simple."
"It's scalable."
"R and automation services."
"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."
"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."
"The initial setup of TIBCO Spotfire is in the middle range of difficulty. The initial setup of Power BI is easier."
"The handling and consumption of realtime data could be improved."
"We would like to see some development in the visualization aspect of this solution, as they can currently only be configured in the cloud, which limits us to one endpoint. It would be helpful if this could be integrated with other tools."
"The way TIBCO Spotfire is designed, in my opinion, is the reason why it lags a bit, especially compared to other BI tools like Qlik."
"Personalising Spotfire, as a whole, is painful and is something that could be made easier."
"The number of charts available out of the box in Spotfire can be enhanced."
"Print capability and trigger-based events."
"The Text Area feature needs to be more user-friendly. It is a little clunky to use, and it is difficult to consistently format text."
Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews while TIBCO Spotfire is ranked 10th in BI (Business Intelligence) Tools with 67 reviews. Spring Cloud Data Flow is rated 8.0, while TIBCO Spotfire is rated 8.4. 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, QlikView, Qlik Sense and TIBCO Jaspersoft. See our Spring Cloud Data Flow vs. TIBCO Spotfire report.
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