Django Q2 vs RQ (Redis Queue)

Django Q2 is a Django task queue, scheduler and worker application built around Python multiprocessing. It runs asynchronous tasks with worker pools and supports scheduled, cron and repeated jobs. For task workflows, it offers result hooks, groups and chains. A multi-cluster monitor and Django Admin integration provide monitoring options. Brokers include Redis, IronMQ, Amazon SQS, MongoDB and Django ORM; the project also lists Rollbar and Sentry support for error reporting. Signed and compressed packages are among its listed security features. The documentation says it is tested with Python 3.10 through 3.14 and works with Django 5.2, 6.0 and 6.1. It is self-hosted, with the README describing compatibility with PaaS deployment across multiple instances. The project is free, MIT-licensed software, installed with pip using the package name django-q2. Listed platforms are Linux, macOS, self-hosted and web. Disque support has been dropped.

RQ (Redis Queue) is a Python library for placing jobs in queues and running them asynchronously in background worker processes. It is self-hosted, open source under the BSD license, and free. It requires Redis 5 or later, or Valkey 7.2 or later. RQ supports scheduled and repeating jobs, retries, bulk enqueueing, job groups, dependencies, unique jobs, and concurrency rate limits. Unique jobs cannot be combined with dependencies. Failed jobs are recorded with exception information, and custom exception handlers are supported. For monitoring, there is an `rq info` console command; RQ Dashboard is a separate web-based frontend. Documentation covers Django, including django-rq, as well as usage with Heroku, Sentry, Supervisor, and systemd. RQ serializes jobs with pickle by default, which the project warns is safe only with trusted Redis instances; JSON is an alternative. Workers need a system that supports `fork()`, so Windows requires Windows Subsystem for Linux and a bash shell. Workers must also be able to import job functions, and producers and workers must share source code.