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The Palantir Gotham platform comprises a suite of capabilities for integrating many different data sources for secure, collaborative analysis. The platform serves as an enterprise knowledge base, containing the full record of an organization's collective analysis.
Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.
Palantir Gotham is ranked 37th in Data Integration Tools while Spring Cloud Data Flow is ranked 18th in Data Integration Tools with 2 reviews. Palantir Gotham is rated 0.0, while Spring Cloud Data Flow is rated 8.0. On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Palantir Gotham is most compared with Palantir Foundry, Azure Data Factory, SAS Data Management, ETL Solutions Transformation Manager and IBM InfoSphere Information Server, whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, Apache Spark Streaming, Mule Anypoint Platform and TIBCO BusinessWorks.
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