Overview

RabbitMQ

Stacks21.7K

Followers18.9K

Votes558

GitHub Stars13.2K

Forks4.0K

Amazon MQ

Stacks54

Followers325

Votes12

Amazon MQ vs RabbitMQ: What are the differences?

Amazon MQ and RabbitMQ are both messaging platforms that provide asynchronous communication between different components of an application. Let's explore the key differences between them.

Deployment: Amazon MQ is a fully managed message broker service provided by AWS, which means that it is hosted and maintained by Amazon. On the other hand, RabbitMQ is an open-source message broker that needs to be self-hosted or deployed on a third-party infrastructure.
Scaling: Amazon MQ provides automatic scaling capabilities, allowing you to handle increased message traffic without any manual intervention. RabbitMQ, on the other hand, requires additional configuration and setup to handle scaling requirements.
Protocol Support: Amazon MQ supports a wide range of messaging protocols, including AMQP, MQTT, STOMP, OpenWire, and WebSocket. RabbitMQ primarily focuses on supporting the AMQP protocol, although it can be extended to support other protocols as well.
Integration with Other AWS Services: As an Amazon Web Services (AWS) product, Amazon MQ integrates seamlessly with other AWS services, such as AWS Lambda, Amazon EC2, and Amazon S3. This tight integration makes it easy to build and deploy applications using a variety of AWS resources. RabbitMQ, being a stand-alone product, may require additional configuration and effort to integrate with other AWS services.
Monitoring and Management: Amazon MQ provides detailed monitoring and management features out-of-the-box, allowing you to monitor message flows, track performance metrics, and set alarms for specific thresholds. RabbitMQ, being self-hosted, may require additional tooling and setup to achieve similar monitoring and management capabilities.
Product Support: Amazon MQ is fully supported by AWS, which means that you can rely on their technical support to troubleshoot and resolve any issues you may encounter. RabbitMQ, being an open-source project, relies on community support and may not have the same level of dedicated technical support available.

In summary, Amazon MQ is a fully managed message broker service provided by AWS, offering automatic scaling, a wide range of protocol support, tight integration with other AWS services, and comprehensive monitoring and management capabilities. On the other hand, RabbitMQ is an open-source message broker that provides flexibility in deployment and protocol support, but may require additional configuration and external tooling for scaling, monitoring, and integration with AWS services.

🔥 Trending in Background Jobs on StackShare

Solid Queue Background Jobs

Database-backed active job backend

Try it View Docs Alternatives

Try

0

1

Advice on RabbitMQ, Amazon MQ

viradiya

Apr 12, 2020

Needs adviceon

AngularJS

ASP.NET Core

MSSQL

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

Software Engineer

Oct 30, 2020

Needs adviceon

Django

Amazon SQS

RabbitMQ

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

Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceon

ZeroMQ

RabbitMQ

Amazon SQS

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to:

Not loose messages in services outages
Safely restart service without losing messages (@{ZeroMQ}|tool:1064| seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

500k views500k

Comments

Detailed Comparison

RabbitMQ	Amazon MQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.	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.
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 13.2K	GitHub Stars -
GitHub Forks 4.0K	GitHub Forks -
Stacks 21.7K	Stacks 54
Followers 18.9K	Followers 325
Votes 558	Votes 12
Pros & Cons
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	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
No integrations available	AWS IAM Amazon CloudWatch ActiveMQ

What are some alternatives to RabbitMQ, Amazon MQ?

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 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

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 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

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

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

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 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

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

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.