Compare EVAM Event Stream Processing (ESP) Platform vs. Spring Cloud Data Flow

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Ranking
22nd
out of 30 in Streaming Analytics
Views
53
Comparisons
37
Reviews
0
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5th
out of 30 in Streaming Analytics
Views
4,134
Comparisons
3,380
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
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Overview

EVAM is a real-time Event Stream Processing (ESP) Platform having real-time data integration and streaming advanced analytics with Machine Learning/AI and Microservice enabled capabilities.

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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VISITORS READING REVIEWS
Computer Software Company45%
Comms Service Provider14%
Financial Services Firm7%
K 12 Educational Company Or School5%
Find out what your peers are saying about Databricks, Solace, Microsoft and others in Streaming Analytics. Updated: October 2020.
441,850 professionals have used our research since 2012.
EVAM Event Stream Processing (ESP) Platform is ranked 22nd in Streaming Analytics while Spring Cloud Data Flow is ranked 5th in Streaming Analytics with 2 reviews. EVAM Event Stream Processing (ESP) Platform is rated 0.0, while Spring Cloud Data Flow is rated 8.0. On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". EVAM Event Stream Processing (ESP) Platform is most compared with , whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, Apache Spark Streaming, Mule Anypoint Platform and TIBCO BusinessWorks.

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