We performed a comparison between Palantir Foundry and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."Live video sessions enhance the available documentation and allow you to ask questions directly."
"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
"It's scalable."
"Great features available in one tool."
"The solution offers very good end-to-end capabilities."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"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."
"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 most valuable feature is real-time streaming."
"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."
"Cost of this solution is quite high."
"If you want to create new models on specific data sets, computing that is quite costly."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"Some error messages can be very cryptic."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"The workflow could be improved."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"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."
"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."
Palantir Foundry is ranked 11th in Data Integration with 13 reviews while Spring Cloud Data Flow is ranked 29th 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.
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