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

CloudAMQP vs Mosquitto

OverviewDecisionsComparisonAlternatives

Overview

CloudAMQP
CloudAMQP
Stacks62
Followers84
Votes7
Mosquitto
Mosquitto
Stacks136
Followers306
Votes14

CloudAMQP vs Mosquitto: What are the differences?

What is CloudAMQP? RabbitMQ as a Service. Fully managed, highly available RabbitMQ servers and clusters, on all major compute platforms.

What is Mosquitto? An open source message broker that implements the MQTT protocol. It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.

CloudAMQP and Mosquitto can be primarily classified as "Message Queue" tools.

Guaana, Apartment List, and Gigster are some of the popular companies that use CloudAMQP, whereas Mosquitto is used by Teleolabs, Xanview Ltd, and Future Corporation. CloudAMQP has a broader approval, being mentioned in 12 company stacks & 5 developers stacks; compared to Mosquitto, which is listed in 3 company stacks and 3 developer stacks.

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Advice on CloudAMQP, Mosquitto

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!

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Detailed Comparison

CloudAMQP
CloudAMQP
Mosquitto
Mosquitto

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

It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.

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.;
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Statistics
Stacks
62
Stacks
136
Followers
84
Followers
306
Votes
7
Votes
14
Pros & Cons
Pros
  • 4
    Some of the best customer support you'll ever find
  • 3
    Easy to provision
Pros
  • 10
    Simple and light
  • 4
    Performance
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
No integrations available

What are some alternatives to CloudAMQP, Mosquitto?

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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