Compare Spring Cloud Data Flow vs. WSO2 Stream Processor

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8.0
17th
out of 30 in Streaming Analytics
Views
474
Comparisons
425
Reviews
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0
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Compared 18% of the time.
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Overview

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.

WSO2 Stream Processor is an open source, cloud native and lightweight stream processing platform that understands streaming SQL queries in order to capture, analyze, process and act on events in real time. This facilitates real-time streaming analytics and streaming data integration. With the product’s powerful streaming SQL, simple deployment, and ability to adapt to changes rapidly, enterprises can go to market faster and achieve greater ROI. Unlike other offerings, it provides a simple two-node deployment for high availability and scales beyond with its distributed deployment to cater to extremely high workloads.

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Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: November 2020.
448,896 professionals have used our research since 2012.

Spring Cloud Data Flow is ranked 6th in Streaming Analytics with 2 reviews while WSO2 Stream Processor is ranked 17th in Streaming Analytics. Spring Cloud Data Flow is rated 8.0, while WSO2 Stream Processor is rated 0.0. The top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". On the other hand, Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, Apache Spark Streaming, Mule Anypoint Platform and TIBCO BusinessWorks, whereas WSO2 Stream Processor is most compared with Apache Flink, Cloudera DataFlow and Databricks.

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