Compare Apache Spark Streaming vs. Spring Cloud Data Flow

Apache Spark Streaming is ranked 10th in Streaming Analytics while Spring Cloud Data Flow is ranked 5th in Streaming Analytics. Apache Spark Streaming is rated 0, while Spring Cloud Data Flow is rated 0. On the other hand, Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, IBM Streams, Software AG Apama and Confluent, whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, Mule Anypoint Platform, StreamSets and TIBCO BusinessWorks.
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Ranking
10th
out of 31 in Streaming Analytics
Views
1,701
Comparisons
1,636
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
5th
out of 31 in Streaming Analytics
Views
3,560
Comparisons
2,860
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Popular Comparisons
Compared 1% of the time.
Also Known As
Spark Streaming
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Apache
VMware
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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