We performed a comparison between Palantir Foundry and Spring Cloud Data Flow 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."Live video sessions enhance the available documentation and allow you to ask questions directly."
"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The data lineage is great."
"The solution offers very good end-to-end capabilities."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"Great features available in one tool."
"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."
"The product is very user-friendly."
"The frontend capabilities of Palantir Foundry could be improved."
"The workflow could be improved."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"Difficult to receive data from external sources."
"The solution could use more online documentation for new users."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"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."
"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."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
Palantir Foundry is ranked 11th in Data Integration with 13 reviews while Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews. Palantir Foundry is rated 7.6, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Palantir Foundry writes "The data visualization is fantastic and the security is excellent". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Alteryx Designer, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks. See our Palantir Foundry vs. Spring Cloud Data Flow report.
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