Django Q2 vs JobRunr

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.

JobRunr is a distributed Java library for processing background jobs and scheduling asynchronous work on the JVM. It supports fire-and-forget, delayed, and recurring tasks, and describes jobs as persistent through cluster restarts or failures. The free OSS plan includes enqueueing and scheduling, automatic retries, carbon-aware scheduling, and a simple dashboard; it allows up to 100 recurring jobs depending on the database. Official integrations are available for Spring Boot, Micronaut, and Quarkus, and the library works with Java 8 and later as a jar distributed through Maven Central. Before production use, the guide recommends replacing in-memory storage with a persistent SQL or NoSQL provider. Business adds priority queues, workflows, realtime scheduling, and a transaction plugin; its license covers one production cluster, while development, test, and staging are free and unlimited. Business costs €850 per PRD cluster / month. Enterprise pricing is custom and includes unlimited recurring jobs and clusters, a multicluster dashboard, and Kubernetes autoscaling metrics.