Compare Apache Spark Streaming vs. Spring Cloud Data Flow

Apache Spark Streaming is ranked 11th in Streaming Analytics while Spring Cloud Data Flow is ranked 3rd in Streaming Analytics with 1 review. Apache Spark Streaming 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". Apache Spark Streaming is most compared with Amazon Kinesis, Software AG Apama and Azure Stream Analytics, whereas Spring Cloud Data Flow is most compared with StreamSets, Apache Flink and Mule Anypoint Platform.
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Ranking
11th
out of 25 in Streaming Analytics
Views
357
Comparisons
334
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.
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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