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Apache Spark VS RabbitMQ

Compare Apache Spark VS RabbitMQ and see what are their differences


Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

RabbitMQ is an open source message broker software.
Apache Spark Landing Page
Apache Spark Landing Page
RabbitMQ Landing Page
RabbitMQ Landing Page

Apache Spark details

Categories
Databases Big Data Big Data Analytics Big Data Infrastructure
Website spark.apache.org  
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RabbitMQ details

Categories
Mobile Push Messaging Web Service Automation Monitoring Tools
Website rabbitmq.com  
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Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • - What's New in Apache Spark 3.0.0
  • - Apache Spark for Data Engineering and Analysis - Overview

RabbitMQ videos

數據工程 | 快速review | 如何架設Docker Swarm + RabbitMQ??

More videos:

  • - What's New in RabbitMQ—June 2012 Edition
  • - Feature complete: Uncovering the true cost different RabbitMQ features and configs - Jack Vanlightly

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What are some alternatives?

When comparing Apache Spark and RabbitMQ, you can also consider the following products

Hadoop - Open-source software for reliable, scalable, distributed computing

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

Hive - The Productivity Platform

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.

Hortonworks - Hadoop-Related

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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