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  1. Stackups
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  3. Background Jobs
  4. Message Queue
  5. Amazon MQ vs CloudAMQP

Amazon MQ vs CloudAMQP

OverviewDecisionsComparisonAlternatives

Overview

CloudAMQP
CloudAMQP
Stacks62
Followers84
Votes7
Amazon MQ
Amazon MQ
Stacks55
Followers325
Votes12

Amazon MQ vs CloudAMQP: What are the differences?

Introduction

Amazon MQ and CloudAMQP are two popular messaging services used for building scalable and reliable applications. While both services provide messaging capabilities, there are several key differences between them. In this article, we will explore and highlight six key differences between Amazon MQ and CloudAMQP.

  1. Managed Service vs. Self-hosted: One of the primary differences between Amazon MQ and CloudAMQP is the hosting model. Amazon MQ is a fully managed service that is provided by AWS, while CloudAMQP is a self-hosted service where users are responsible for managing and maintaining the underlying infrastructure.

  2. Ecosystem and Integration: Amazon MQ is tightly integrated with other AWS services and provides seamless integration with services like Amazon SNS, Amazon SQS, and AWS Lambda. On the other hand, CloudAMQP supports integration with various platforms and frameworks, making it suitable for a broader range of applications.

  3. Scalability: When it comes to scalability, Amazon MQ provides an automatically scalable environment as it is built on top of the Apache ActiveMQ message broker. In contrast, CloudAMQP offers manual scalability, where users have to manually scale the infrastructure based on their requirements.

  4. Pricing: The pricing models of Amazon MQ and CloudAMQP differ significantly. Amazon MQ follows a pay-as-you-go pricing model, where users pay for the resources consumed, including message throughput and storage. CloudAMQP, on the other hand, offers several pricing plans based on the required features and message volumes.

  5. Monitoring and Management: Amazon MQ provides comprehensive monitoring and management capabilities through the AWS Management Console, allowing users to easily monitor the health and performance of their messaging environment. CloudAMQP also offers monitoring tools and integrations but may require additional setup and configuration.

  6. Support and Documentation: AWS provides extensive documentation, support, and community forums for Amazon MQ, ensuring users can easily find resources and assistance whenever needed. CloudAMQP also offers documentation and support but may have different levels of support depending on the chosen pricing plan.

In Summary, Amazon MQ is a fully managed service tightly integrated with the AWS ecosystem, providing automatic scalability and pay-as-you-go pricing, while CloudAMQP is a self-hosted service with broader platform support, manual scalability, and flexible pricing plans.

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Advice on CloudAMQP, Amazon MQ

Mickael
Mickael

DevOps Engineer at Rookout

Mar 1, 2020

Decided

In addition to being a lot cheaper, Google Cloud Pub/Sub allowed us to not worry about maintaining any more infrastructure that needed.

We moved from a self-hosted RabbitMQ over to CloudAMQP and decided that since we use GCP anyway, why not try their managed PubSub?

It is one of the better decisions that we made, and we can just focus about building more important stuff!

472k views472k
Comments
MITHIRIDI
MITHIRIDI

Software Engineer at LightMetrics

May 8, 2020

Needs adviceonAmazon SQSAmazon SQSAmazon MQAmazon MQ

I want to schedule a message. Amazon SQS provides a delay of 15 minutes, but I want it in some hours.

Example: Let's say a Message1 is consumed by a consumer A but somehow it failed inside the consumer. I would want to put it in a queue and retry after 4hrs. Can I do this in Amazon MQ? I have seen in some Amazon MQ videos saying scheduling messages can be done. But, I'm not sure how.

303k views303k
Comments

Detailed Comparison

CloudAMQP
CloudAMQP
Amazon MQ
Amazon MQ

Fully managed, highly available RabbitMQ servers and clusters, on all major compute platforms.

Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.

Support - 24/7 support, via email, chat and phone.; Real time metrics and alarms - Get notified in advanced when your queues are growing faster than you're consuming them, when you're servers are over loaded etc. and take action before it becomes a problem.; Auto-healing - Our monitoring systems automatically detects and fixes a lot of problems such as kernel bugs, auto-restarts, RabbitMQ/Erlang version upgrades etc.; Metrics - Of course the default RabbitMQ interface is available, which gives you great inspection capabilities of your queues and message throughput, but we also gives you CPU, RAM and disk graphs to help you monitor the health and resource consumption of your clusters.;
-
Statistics
Stacks
62
Stacks
55
Followers
84
Followers
325
Votes
7
Votes
12
Pros & Cons
Pros
  • 4
    Some of the best customer support you'll ever find
  • 3
    Easy to provision
Pros
  • 7
    Supports low IQ developers
  • 3
    Supports existing protocols (JMS, NMS, AMQP, STOMP, …)
  • 2
    Easy to migrate existing messaging service
Cons
  • 4
    Slow AF
Integrations
AppHarbor
AppHarbor
Google Compute Engine
Google Compute Engine
Heroku
Heroku
DigitalOcean
DigitalOcean
Amazon EC2
Amazon EC2
Red Hat OpenShift
Red Hat OpenShift
SoftLayer
SoftLayer
dotCloud
dotCloud
Pivotal Web Services (PWS)
Pivotal Web Services (PWS)
AppFog
AppFog
AWS IAM
AWS IAM
Amazon CloudWatch
Amazon CloudWatch
ActiveMQ
ActiveMQ

What are some alternatives to CloudAMQP, Amazon MQ?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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