StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. RabbitMQ vs Sidekiq

RabbitMQ vs Sidekiq

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Sidekiq
Sidekiq
Stacks1.2K
Followers632
Votes408

RabbitMQ vs Sidekiq: What are the differences?

Introduction

RabbitMQ and Sidekiq are both popular messaging and background job processing systems used in web development. They have some key differences that set them apart from each other. In this article, we will explore the six main differences between RabbitMQ and Sidekiq.

  1. Workload Management: RabbitMQ focuses on distributing workload across multiple consumers. It uses a messaging queue where producers publish messages, and consumers receive and process them. This enables load balancing and scaling of workload efficiently. On the other hand, Sidekiq is a background job processing library for Ruby, which prioritizes the reliable execution of jobs in a threaded manner.

  2. Message Handling: RabbitMQ uses the AMQP (Advanced Message Queuing Protocol) to handle messages. It offers advanced features like guaranteed message delivery, publish/subscribe pattern, and flexible exchange types. Sidekiq, on the other hand, uses Redis as its message broker and handles messages using Redis' pub/sub mechanism.

  3. Supported Languages/Frameworks: RabbitMQ is implemented in Erlang and supports a wide range of languages including Ruby, Python, Java, .NET, and more. It also provides client libraries for popular frameworks like Spring, Django, and Ruby on Rails. Sidekiq is specifically designed for Ruby applications and integrates seamlessly with Ruby on Rails and other frameworks using Active Job.

  4. Concurrency: RabbitMQ handles concurrency at the consumer level, allowing multiple consumers to process messages simultaneously. This enables high throughput and efficient resource utilization. Sidekiq, on the other hand, handles concurrency at the worker level, where each worker processes one job at a time. It relies on multi-threading and can scale horizontally by running multiple Sidekiq processes.

  5. Monitoring and Management: RabbitMQ provides a web-based management tool called the RabbitMQ Management Plugin. It allows administrators to monitor and manage message queues, exchanges, and consumers, and provides real-time metrics and stats. Sidekiq, on the other hand, provides a web interface called Sidekiq Web, which allows monitoring of workers, job queues, and provides access to various control features.

  6. Community and Ecosystem: RabbitMQ has a large and active community with comprehensive documentation and a wide range of plugins and integrations available. It is a mature and battle-tested messaging system used by many organizations. Sidekiq also has a strong community and is widely used in the Ruby ecosystem. It benefits from the Ruby community's extensive libraries and gems, making it easier to integrate with other Ruby applications.

In summary, RabbitMQ focuses on workload distribution and provides advanced messaging features while Sidekiq prioritizes reliable job execution within Ruby applications. RabbitMQ supports multiple languages and provides in-depth monitoring and management capabilities, while Sidekiq is specifically designed for Ruby and has a strong community and ecosystem support.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on RabbitMQ, Sidekiq

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
Meili
Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceonZeroMQZeroMQRabbitMQRabbitMQAmazon SQSAmazon 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
RabbitMQ
Sidekiq
Sidekiq

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

Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple.

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
21.8K
Stacks
1.2K
Followers
18.9K
Followers
632
Votes
558
Votes
408
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
  • 124
    Simple
  • 99
    Efficient background processing
  • 60
    Scalability
  • 37
    Better then resque
  • 26
    Great documentation

What are some alternatives to RabbitMQ, Sidekiq?

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.

Beanstalkd

Beanstalkd

Beanstalks's interface is generic, but was originally designed for reducing the latency of page views in high-volume web applications by running time-consuming tasks asynchronously.

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase