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  1. Stackups
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  4. Message Queue
  5. RSMQ vs RabbitMQ

RSMQ vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
RSMQ
RSMQ
Stacks4
Followers87
Votes6
GitHub Stars1.8K
Forks120

RSMQ vs RabbitMQ: What are the differences?

Introduction:

1. Scalability: RSMQ is optimized for high throughput and low-latency messaging, making it suitable for high-performance applications where scalability is crucial. On the other hand, RabbitMQ provides a wide range of messaging features and supports complex routing scenarios, making it more suitable for large-scale enterprise applications.

2. Maintenance and Configuration: RSMQ is lightweight and simple to set up and configure, making it ideal for small to medium-sized projects with minimal administration overhead. In contrast, RabbitMQ is feature-rich and offers advanced configuration options, but it requires more expertise to maintain and manage effectively.

3. Programming Language Support: RSMQ is developed primarily for Node.js applications, providing native support and integration with the Node.js ecosystem. RabbitMQ, on the other hand, supports multiple programming languages through client libraries, making it more versatile for organizations with diverse tech stacks.

4. Performance and Latency: RSMQ is designed for high concurrency and low latency, achieving fast message processing times and efficient resource utilization. RabbitMQ, with its message persistence and delivery guarantees, may introduce higher latency overhead but offers stronger data consistency and reliability.

5. Community and Ecosystem: RSMQ has a smaller user base and community support compared to RabbitMQ, which has a mature ecosystem, extensive documentation, and a large user community. Organizations seeking robust support and resources may benefit more from RabbitMQ's established community.

6. Use Case Suitability: RSMQ is well-suited for lightweight, real-time applications that require high performance and simplicity, whereas RabbitMQ is better suited for complex, enterprise-level applications with diverse messaging requirements and stringent reliability guarantees.

In Summary, RSMQ and RabbitMQ differ in terms of scalability, maintenance, programming language support, performance, community size, and use case suitability.

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Advice on RabbitMQ, RSMQ

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

RabbitMQ
RabbitMQ
RSMQ
RSMQ

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

tl;dr: If you run a Redis server and currently use Amazon SQS or a similar message queue you might as well use this fast little replacement. Using a shared Redis server multiple Node.js processes can send / receive messages.

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
Lightweight: Just Redis and ~500 lines of javascript.;Guaranteed delivery of a message to exactly one recipient within a messages visibility timeout.;Received messages that are not deleted will reappear after the visibility timeout.;Test coverage;Optional RESTful interface via rest-rsmq
Statistics
GitHub Stars
13.2K
GitHub Stars
1.8K
GitHub Forks
4.0K
GitHub Forks
120
Stacks
21.8K
Stacks
4
Followers
18.9K
Followers
87
Votes
558
Votes
6
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
  • 2
    Simple, does one thing well
  • 1
    Backed by Redis
  • 1
    Written in TypeScript
  • 1
    Comes with a visibility timeout feature similar to AWS
  • 1
    Written in Coffeescript
Integrations
No integrations available
Redis
Redis

What are some alternatives to RabbitMQ, RSMQ?

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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