Apache Flink vs. Spring Cloud Data Flow

As of May 2019, Apache Flink is ranked 10th in Streaming Analytics vs Spring Cloud Data Flow which is ranked 4th in Streaming Analytics with 1 review. The top reviewer of Spring Cloud Data Flow writes "Gives us the simplicity of using off-the-shelf data flow plug-in components". Apache Flink is most compared with Amazon Kinesis, Azure Stream Analytics and WSO2 Stream Processor. Spring Cloud Data Flow is most compared with StreamSets, Talend Open Studio and CloverETL.
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Ranking
10th
out of 24 in Streaming Analytics
Views
322
Comparisons
305
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
4th
out of 24 in Streaming Analytics
Views
759
Comparisons
565
Reviews
1
Average Words per Review
478
Avg. Rating
8.0
Top Comparisons
Compared 58% of the time.
Compared 30% of the time.
Compared 9% of the time.
Also Known As
Flink
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Overview

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.

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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