Apache Spark Streaming vs. Spring Cloud Data Flow

As of May 2019, Apache Spark Streaming is ranked 14th 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 Spark Streaming is most compared with Amazon Kinesis and Software AG Apama. Spring Cloud Data Flow is most compared with StreamSets, Talend Open Studio and CloverETL.
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Ranking
14th
out of 24 in Streaming Analytics
Views
60
Comparisons
54
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 30% of the time.
Compared 9% of the time.
Also Known As
Spark Streaming
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Apache
Pivotal
Overview

Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

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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