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

Kue vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Kue
Kue
Stacks51
Followers88
Votes2
GitHub Stars9.5K
Forks871

Kue vs RabbitMQ: What are the differences?

# Introduction

Key differences between Kue and RabbitMQ are highlighted below.

1. **Programming Language**: Kue is written in Node.js, while RabbitMQ is implemented in Erlang. This difference in programming language can impact the ease of integration, maintenance, and community support for both platforms.
2. **Message Queuing Model**: Kue uses a more traditional message queuing model where tasks are queued in a first-in-first-out (FIFO) manner, while RabbitMQ supports a variety of messaging patterns including point-to-point, publish/subscribe, and others, offering more flexibility in communication paradigms.
3. **Persistence**: Kue does not provide built-in message persistence and relies on the Node.js process memory, whereas RabbitMQ offers durable message queues that can survive broker restarts, ensuring data consistency and reliability.
4. **Scalability**: RabbitMQ is designed to be highly scalable and can handle a large number of concurrent connections and messages due to its distributed architecture, whereas Kue may be limited in scalability by the single process nature of Node.js.
5. **Management and Monitoring Tools**: RabbitMQ provides a management UI and CLI tools for monitoring and managing queues, exchanges, and connections, offering better visibility and control over the messaging system compared to Kue, which lacks such built-in management features.
6. **Ecosystem Integration**: RabbitMQ has a more mature ecosystem with support for various client libraries, plugins, and integrations with popular frameworks, whereas Kue's ecosystem may be more limited in terms of third-party extensions and tools.

In Summary, the key differences between Kue and RabbitMQ lie in their programming language, message queuing model, persistence, scalability, management tools, and ecosystem integration.

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Advice on RabbitMQ, Kue

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
Kue
Kue

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

Kue is a feature rich priority job queue for node.js backed by redis. A key feature of Kue is its clean user-interface for viewing and managing queued, active, failed, and completed jobs.

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
9.5K
GitHub Forks
4.0K
GitHub Forks
871
Stacks
21.8K
Stacks
51
Followers
18.9K
Followers
88
Votes
558
Votes
2
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

What are some alternatives to RabbitMQ, Kue?

Kafka

Kafka

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

Sidekiq

Sidekiq

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.

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.

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