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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. CloudAMQP vs RabbitMQ

CloudAMQP vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

CloudAMQP
CloudAMQP
Stacks62
Followers84
Votes7
RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K

CloudAMQP vs RabbitMQ: What are the differences?

Key Differences between CloudAMQP and RabbitMQ

CloudAMQP and RabbitMQ are both messaging systems that are used to facilitate communication between different components of an application. While they serve a similar purpose, there are several key differences between the two platforms.

  1. Managed Environment: CloudAMQP is a fully managed service provided by CloudAMQP, which means that the infrastructure and operational tasks are handled by the service provider. On the other hand, RabbitMQ is a self-hosted messaging broker that needs to be provisioned, deployed, and maintained by the user. This key difference means that CloudAMQP offers easier setup and maintenance compared to RabbitMQ.

  2. Scalability and Performance: CloudAMQP provides automatic scaling and load balancing capabilities, allowing applications to handle high message volumes and traffic spikes without manual intervention. RabbitMQ, being a self-hosted solution, requires manual scaling and configuration to handle increased traffic. CloudAMQP also offers better performance due to its optimized infrastructure and network setup.

  3. Availability and Reliability: CloudAMQP operates in a distributed environment, which means that it provides high availability and fault tolerance out of the box. It has built-in replication, automatic failover, and disaster recovery mechanisms. RabbitMQ, being a self-hosted solution, requires additional configuration and setup to achieve similar levels of availability and reliability.

  4. Monitoring and Alerting: CloudAMQP offers comprehensive monitoring and alerting capabilities, providing insights into the health and performance of the messaging system. It provides real-time monitoring, metrics, and detailed logs for troubleshooting. RabbitMQ, on the other hand, requires the user to set up monitoring and alerting tools separately.

  5. Security: CloudAMQP provides security features such as SSL/TLS encryption, virtual private clouds (VPCs), and secure access controls. It also offers integration with authentication providers such as Google Auth, Okta, and Auth0. RabbitMQ, being a self-hosted solution, requires manual configuration of security measures and lacks some of the advanced security features offered by CloudAMQP.

  6. Cost: CloudAMQP is a paid service that charges based on usage, offering different pricing plans based on the volume and complexity of messaging requirements. On the other hand, RabbitMQ is open-source and free to use, but the user is responsible for managing the infrastructure and operational costs associated with running RabbitMQ.

In Summary, CloudAMQP is a managed messaging service that provides easier setup, scalability, availability, monitoring, and security compared to self-hosted RabbitMQ. However, it comes at a cost, while RabbitMQ requires manual configuration and maintenance but is free to use.

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Advice on CloudAMQP, RabbitMQ

viradiya
viradiya

Apr 12, 2020

Needs adviceonAngularJSAngularJSASP.NET CoreASP.NET CoreMSSQLMSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k
Comments
Pulkit
Pulkit

Software Engineer

Oct 30, 2020

Needs adviceonDjangoDjangoAmazon SQSAmazon SQSRabbitMQRabbitMQ

Hi! I am creating a scraping system in Django, which involves long running tasks between 1 minute & 1 Day. As I am new to Message Brokers and Task Queues, I need advice on which architecture to use for my system. ( Amazon SQS, RabbitMQ, or Celery). The system should be autoscalable using Kubernetes(K8) based on the number of pending tasks in the queue.

474k views474k
Comments
Kirill
Kirill

GO/C developer at Duckling Sales

Feb 16, 2021

Decided

Maybe not an obvious comparison with Kafka, since Kafka is pretty different from rabbitmq. But for small service, Rabbit as a pubsub platform is super easy to use and pretty powerful. Kafka as an alternative was the original choice, but its really a kind of overkill for a small-medium service. Especially if you are not planning to use k8s, since pure docker deployment can be a pain because of networking setup. Google PubSub was another alternative, its actually pretty cheap, but I never tested it since Rabbit was matching really good for mailing/notification services.

266k views266k
Comments

Detailed Comparison

CloudAMQP
CloudAMQP
RabbitMQ
RabbitMQ

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

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

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.;
Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported
Statistics
GitHub Stars
-
GitHub Stars
13.2K
GitHub Forks
-
GitHub Forks
4.0K
Stacks
62
Stacks
21.8K
Followers
84
Followers
18.9K
Votes
7
Votes
558
Pros & Cons
Pros
  • 4
    Some of the best customer support you'll ever find
  • 3
    Easy to provision
Pros
  • 235
    It's fast and it works with good metrics/monitoring
  • 80
    Ease of configuration
  • 60
    I like the admin interface
  • 52
    Easy to set-up and start with
  • 22
    Durable
Cons
  • 9
    Too complicated cluster/HA config and management
  • 6
    Needs Erlang runtime. Need ops good with Erlang runtime
  • 5
    Configuration must be done first, not by your code
  • 4
    Slow
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, RabbitMQ?

Kafka

Kafka

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

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.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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