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

Kue vs RSMQ

OverviewComparisonAlternatives

Overview

RSMQ
RSMQ
Stacks4
Followers87
Votes6
GitHub Stars1.8K
Forks120
Kue
Kue
Stacks51
Followers88
Votes2
GitHub Stars9.5K
Forks871

Kue vs RSMQ: What are the differences?

Key Differences between Kue and RSMQ

  1. Architecture: Kue is built on top of Redis, utilizing Redis for storing jobs, while RSMQ has its own built-in message-queue system without relying on any external database, making it a self-contained solution.

  2. Performance: In terms of performance, RSMQ is known for its high throughput and low latency due to its design optimized for message queuing tasks, whereas Kue may have some limitations in scalability for very high message load scenarios.

  3. Monitoring: Kue provides a web-based GUI for monitoring and managing jobs, offering insights into the current queue status and job processing, while RSMQ lacks a built-in monitoring interface, requiring developers to implement custom monitoring solutions.

  4. Scalability: RSMQ is designed with scalability in mind, allowing horizontal scaling by deploying multiple instances of RSMQ and using a load balancer, whereas Kue may face challenges in scaling beyond a certain point due to its tight integration with Redis.

  5. Ease of Use: Kue offers a more straightforward API and a higher level of abstraction in job handling, simplifying the development process, while RSMQ requires more low-level handling of messages and queue operations, which may be more complex for some developers.

  6. Community Support: Kue, being a part of the popular Kue and RSMQ suite, has a larger community of users and contributors, providing better support, documentation, and potential for future enhancements, compared to the smaller community around RSMQ.

In Summary, Kue and RSMQ differ in their architecture, performance, monitoring capabilities, scalability, ease of use, and community support.

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Detailed Comparison

RSMQ
RSMQ
Kue
Kue

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.

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.

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
1.8K
GitHub Stars
9.5K
GitHub Forks
120
GitHub Forks
871
Stacks
4
Stacks
51
Followers
87
Followers
88
Votes
6
Votes
2
Pros & Cons
Pros
  • 2
    Simple, does one thing well
  • 1
    Written in TypeScript
  • 1
    Written in Coffeescript
  • 1
    Backed by Redis
  • 1
    Comes with a visibility timeout feature similar to AWS
Pros
  • 2
    Simple
Integrations
Redis
Redis
No integrations available

What are some alternatives to RSMQ, 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.

RabbitMQ

RabbitMQ

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

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.

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