Compare SAP Event Stream Processor vs. Spring Cloud Data Flow

SAP Event Stream Processor is ranked 23rd in Streaming Analytics while Spring Cloud Data Flow is ranked 3rd in Streaming Analytics with 1 review. SAP Event Stream Processor is rated 0, while Spring Cloud Data Flow is rated 8.0. On the other hand, the top reviewer of Spring Cloud Data Flow writes "Gives us the simplicity of using off-the-shelf data flow plug-in components". SAP Event Stream Processor is most compared with , whereas Spring Cloud Data Flow is most compared with StreamSets, Apache Flink and Mule Anypoint Platform.
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Ranking
23rd
out of 25 in Streaming Analytics
Views
14
Comparisons
6
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
3rd
out of 25 in Streaming Analytics
Views
1,424
Comparisons
1,099
Reviews
1
Average Words per Review
478
Avg. Rating
8.0
Top Comparisons
Compared 18% of the time.
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Overview
Analyze and act on events as they happen with SAP Event Stream Processor. This award-winning complex event processing (CEP) platform delivers real-time stream processing and analytics. Maximize responsiveness and agility, take full advantage of the Internet of Things (IoT) - and develop new applications with embedded CEP functionality.

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.

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