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

Dramatiq vs RSMQ

OverviewComparisonAlternatives

Overview

RSMQ
RSMQ
Stacks4
Followers87
Votes6
GitHub Stars1.8K
Forks120
Dramatiq
Dramatiq
Stacks6
Followers35
Votes0

Dramatiq vs RSMQ: What are the differences?

Introduction:

Dramatiq and RSMQ are both messaging queue systems used for asynchronous communication in applications. However, they have key differences that make each of them suitable for different use cases.

  1. Message Processing Model: Dramatiq uses a distributed actor-based model where each message is processed by a separate actor, while RSMQ follows a simple round-robin approach where messages are processed in a sequential manner by a single worker.

  2. Ease of Use: RSMQ is simpler and easier to set up compared to Dramatiq. It requires minimal configuration and is a lightweight solution ideal for small-scale projects, while Dramatiq offers more complexity and customization options for larger and more complex applications.

  3. Advanced Features: Dramatiq provides advanced features like delayed messages, retries with exponential backoff, message routing, and message priorities which make it more suitable for scenarios where different message processing requirements exist. On the other hand, RSMQ lacks these advanced features and is more suited for basic message queuing needs.

  4. Scalability: Dramatiq is designed to be horizontally scalable by allowing you to distribute message processing across multiple workers and nodes, making it suitable for handling high message volumes and increasing processing capacity as needed. RSMQ, on the other hand, is more limited in terms of scalability and is better suited for smaller workloads.

  5. Ecosystem and Community Support: Dramatiq has a larger ecosystem with support for integrations with various tools and frameworks, along with a more active community contributing to its development and maintenance. RSMQ, being a simpler solution, may have fewer integrations and a smaller community backing.

In Summary, Dramatiq offers more advanced features, scalability options, and a broader ecosystem compared to RSMQ which is simpler, easier to use, and more suitable for basic message queuing needs.

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Detailed Comparison

RSMQ
RSMQ
Dramatiq
Dramatiq

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.

A distributed task queueing library that is simple and has sane defaults for most SaaS workloads. It draws inspiration from GAE Push Queues and Sidekiq.

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
high reliability; simple and easy to understand core; convention over configuration
Statistics
GitHub Stars
1.8K
GitHub Stars
-
GitHub Forks
120
GitHub Forks
-
Stacks
4
Stacks
6
Followers
87
Followers
35
Votes
6
Votes
0
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
No community feedback yet
Integrations
Redis
Redis
No integrations available

What are some alternatives to RSMQ, Dramatiq?

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.

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.

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