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Amazon EMR VS RabbitMQ

Compare Amazon EMR VS RabbitMQ and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

RabbitMQ logo RabbitMQ

RabbitMQ is an open source message broker software.
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • RabbitMQ Landing page
    Landing page //
    2023-10-03

Amazon EMR videos

+ Add

Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

RabbitMQ videos

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

More videos:

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

Category Popularity

0-100% (relative to Amazon EMR and RabbitMQ)

Amazon EMR

RabbitMQ

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Integration
0 0%
Data Integration
100% 100
Big Data
100 100%
Big Data
0% 0
Web Service Automation
0 0%
Web Service Automation
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon EMR and RabbitMQ

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
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RabbitMQ Reviews

Best message queue for cloud-native apps
RabbitMQ is an open-source message broker software that allows applications to communicate with each other using a messaging protocol. It was developed by Rabbit Technologies and first released in 2007, which was later acquired by VMware.RabbitMQ is based on the Advanced Message Queuing Protocol (AMQP) and provides a reliable, scalable, and interoperable messaging system.
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
However, it's important to note that every tool has its strengths and use cases. For instance, Kafka's strength lies in real-time data streaming, NATS shines with its simplicity, and RabbitMQ provides support for complex routing. In contrast, IronMQ provides an excellent balance of simplicity, durability, scalability, and ease of management, making it a powerful choice for...
Source: blog.iron.io
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
RabbitMQ follows a standard store-and-forward pattern, allowing messages to be stored in RAM, on disk, or both. To ensure the persistence of messages, the producer can tag them as persistent, and they will be stored in a separate queue. This helps achieve message retention even after a restart or failure of the RabbitMQ server.
Source: gcore.com
6 Best Kafka Alternatives: 2022’s Must-know List
Due to RabbitMQ’s lightweight design, it can be easily deployed on public and private clouds. RabbitMQ is backed not only by a robust support system but also offers a great developer community. Since it is open-source software it is one of the best Kafka Alternatives and RabbitMQ is free of cost.
Source: hevodata.com
Top 15 Alternatives to RabbitMQ In 2021
In this article, we will discuss an overview on RabbitMQ Alternatives. RabbitMQ has a flexible messaging system and functions as a multipurpose broker. But it often stops working, because of its high latency and very slow while doing so. The deployment & management of RabbitMQ is a too dull procedure. It can not be installed as modules, it can be installed only on machines...
Source: gokicker.com

Social recommendations and mentions

Based on our record, Amazon EMR should be more popular than RabbitMQ. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon EMR mentions (10)

  • 5 Best Practices For Data Integration To Boost ROI And Efficiency
    There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
  • What compute service i should use? Advice for a duck-tape kind of guy
    I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
  • Processing a large text file containing millions of records.
    This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago
  • How to use Spark and Pandas to prepare big data
    Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
  • Beginner building a Hadoop cluster
    Check out https://aws.amazon.com/emr/. Source: about 2 years ago
View more

RabbitMQ mentions (1)

What are some alternatives?

When comparing Amazon EMR and RabbitMQ, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

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

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