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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. Bull vs RSMQ vs Redis

Bull vs RSMQ vs Redis

OverviewComparisonAlternatives

Overview

Redis
Redis
Stacks61.9K
Followers46.5K
Votes3.9K
GitHub Stars42
Forks6
RSMQ
RSMQ
Stacks4
Followers87
Votes6
GitHub Stars1.8K
Forks120
Bull
Bull
Stacks92
Followers113
Votes1
GitHub Stars16.2K
Forks1.4K

Bull vs RSMQ vs Redis: What are the differences?

Introduction

In this Markdown code, we will provide the key differences between Bull and RSMQ in relation to Redis. Bull and RSMQ are both job/message queue systems built on top of Redis, but they have some notable distinctions.

  1. Different Implementation Styles: Bull is implemented as a library on top of Redis, while RSMQ is a standalone Redis module. This means that Bull provides more flexibility in terms of integration with other libraries and frameworks, while RSMQ provides a more lightweight and streamlined approach.

  2. Job Prioritization: Bull supports advanced job prioritization using different priority levels, while RSMQ does not have built-in support for job prioritization. This makes Bull a preferred choice for applications that require prioritization of critical or time-sensitive tasks.

  3. Job Delay and Scheduling: Bull allows jobs to be delayed or scheduled for execution in the future, enabling more precise control over job execution time. RSMQ, on the other hand, does not provide native support for delayed or scheduled jobs. This feature in Bull is particularly useful in scenarios where tasks need to be executed at specific times or after a certain delay.

  4. Job Dependencies: Bull supports the concept of job dependencies, where a job can depend on the completion of other jobs before it can be executed. RSMQ does not have built-in support for job dependencies. This feature in Bull is valuable for orchestrating complex workflows and ensuring proper task sequencing.

  5. Advanced Event Handling: Bull offers extensive event handling capabilities, allowing developers to subscribe to various events and perform actions based on those events. RSMQ has limited event handling capabilities and lacks the flexibility provided by Bull. This makes Bull a preferred choice for applications that require advanced event-driven architectures.

  6. Job Progress Tracking: Bull provides built-in mechanisms to track the progress of jobs, allowing developers to monitor and report on the status of individual jobs. RSMQ does not have native support for job progress tracking. This feature in Bull is beneficial for applications that require real-time monitoring and reporting of job progress.

In summary, Bull and RSMQ differ in terms of implementation style, job prioritization, job delay and scheduling, job dependencies, event handling capabilities, and job progress tracking. Bull offers more flexibility, advanced features, and integration options compared to RSMQ.

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Detailed Comparison

Redis
Redis
RSMQ
RSMQ
Bull
Bull

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

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.

The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity.

-
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
Minimal CPU usage due to a polling-free design.; Robust design based on Redis.; Delayed jobs.; Schedule and repeat jobs according to a cron specification.; Rate limiter for jobs.; Retries.; Priority.; Concurrency.; Pause/resume—globally or locally.; Multiple job types per queue.; Threaded (sandboxed) processing functions.; Automatic recovery from process crashes.
Statistics
GitHub Stars
42
GitHub Stars
1.8K
GitHub Stars
16.2K
GitHub Forks
6
GitHub Forks
120
GitHub Forks
1.4K
Stacks
61.9K
Stacks
4
Stacks
92
Followers
46.5K
Followers
87
Followers
113
Votes
3.9K
Votes
6
Votes
1
Pros & Cons
Pros
  • 888
    Performance
  • 542
    Super fast
  • 514
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
Cons
  • 15
    Cannot query objects directly
  • 3
    No secondary indexes for non-numeric data types
  • 1
    No WAL
Pros
  • 2
    Simple, does one thing well
  • 1
    Written in Coffeescript
  • 1
    Backed by Redis
  • 1
    Written in TypeScript
  • 1
    Comes with a visibility timeout feature similar to AWS
Pros
  • 1
    Ease of use
Integrations
No integrations availableNo integrations available
Node.js
Node.js

What are some alternatives to Redis, RSMQ, Bull?

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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