Software Alternatives & Reviews

Dramatiq VS Amazon MQ

Compare Dramatiq VS Amazon MQ and see what are their differences

Dramatiq logo Dramatiq

Dramatiq is a fast and reliable distributed task processing library for Python 3.

Amazon MQ logo Amazon MQ

Amazon MQ is a managed message broker service for ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Easily migrate messaging.
  • Dramatiq Landing page
    Landing page //
    2023-06-19
  • Amazon MQ Landing page
    Landing page //
    2023-03-24

Dramatiq videos

Petty Paige Dramatique Boutique No More Nudes Palette Review with Dustin Daily | Jen Gerard

More videos:

  • Review - Everyday Hiphop Live Music Review - DraMatiQue – iGrind 🎶🎤🔊
  • Review - Dramatique Boutique Lip gloss Unboxing and Review

Amazon MQ videos

Getting Started with Amazon MQ - Managed Message Broker Service

Category Popularity

0-100% (relative to Dramatiq and Amazon MQ)
Web Service Automation
27 27%
73% 73
Stream Processing
25 25%
75% 75
Data Integration
28 28%
72% 72
Ruby On Rails
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Dramatiq should be more popular than Amazon MQ. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dramatiq mentions (8)

  • Inngest raises $3M seed to build the reliable workflow platform for every dev
    Using something like Dramatiq [1] with Redis, writing a background job takes minutes, and can be deployed alongside an existing Python web app. There are probably JS equivalents. I think Inngest could be a useful service, but the comparison felt off for me - it made me feel like this wasn't solving a real problem. [1] https://dramatiq.io/. - Source: Hacker News / 10 months ago
  • Taskiq: async celery alternative
    Hello everyone. We want to present you Taskiq: our new project that allows sending tasks using distributed queues. Conceptually it's similar to Celery or Dramatiq but with full asyncio and type hints support. Taskiq can send and execute async functions and has many integrations with different queue implementations. Source: about 1 year ago
  • Django Styleguide
    I spent 3 years building a high scale crawler on top of Celery. I can't recommend it. We found many bugs in the more advanced features of Celery (like Canvas) we also ran into some really weird issues like tasks getting duplicated for no reason [1]. The most concerning problem is that the project was abandoned. The original creator is not working on it anymore and all issues that we raised were ignored. We had to... - Source: Hacker News / over 1 year ago
  • Writing a book about Django, what’s your suggestion for the theme?
    I have been using dramatiq lately (celery alternative) and so far I'm happy with it. Source: almost 2 years ago
  • Red Engine – modern scheduling framework for Python applications
    If your tasks are idempotent, Dramatiq if intended for your case. https://dramatiq.io/. - Source: Hacker News / almost 2 years ago
View more

Amazon MQ mentions (1)

  • AWS in Plain English
    > Is there a more complex queuing service? No. There’s only SQS. Yes there is: https://aws.amazon.com/amazon-mq/. - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing Dramatiq and Amazon MQ, you can also consider the following products

Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby

RabbitMQ - RabbitMQ is an open source message broker software.

ZeroMQ - ZeroMQ is a high-performance asynchronous messaging library.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

NoobHub - OpenSource multiplayer and network messaging.

Google Cloud Pub/Sub - Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.