We performed a comparison between Spring Cloud Data Flow and Tungsten RPA 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 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 product is very user-friendly."
"The ability to script information from websites is most valuable. It also seems to be fairly robust and reasonably easy to manage on a server-based deployment. We have a number of robots operating on the central server."
"The features that we have found the most valuable are the integration of different third-party support and productivity services."
"The pricing of the solution is quite good."
"The best part of Kofax is that they have a whole concept. It's one product, but also has extra elements that can be integrated."
"The flexibility to use already-developed components is really good. You can use it for Excel-related operations and other things."
"The solution is scalable."
"It is stable and scalable."
"The product provides end-to-end solutions for different business problems."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"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."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"The product needs more AI capabilities."
"The interface could be better from a usability standpoint."
"It needs a free training portal for anybody on the internet to use so that they can get an idea of what the possibilities are."
"The technical support must be improved."
"Exception handling needs to be improved."
"The process discovery could be a bit better."
"We are on version 10.6, and the current version seems to be 11. Kofax is cycling the capabilities of the product very quickly. One of the difficulties has been to actually keep up with the capabilities as they've evolved. On the one hand, it is good that the product is getting better, but on the other hand, it is difficult to implement the best way with a product that is evolving constantly."
"I'd like to see a recording function and a more simple interface."
Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews while Tungsten RPA is ranked 12th in Robotic Process Automation (RPA) with 24 reviews. Spring Cloud Data Flow is rated 8.0, while Tungsten RPA is rated 7.4. 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 Tungsten RPA writes "A stable product that provides end-to-end solutions for different business problems". Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks, whereas Tungsten RPA is most compared with UiPath, Microsoft Power Automate, Blue Prism, Automation Anywhere (AA) and WorkFusion. See our Spring Cloud Data Flow vs. Tungsten RPA report.
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.
