Django Q2 vs River

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.

River is a background job queue for Go applications, using PostgreSQL or SQLite to store jobs. Its transactional enqueueing keeps a job from running until the database transaction that inserted it has completed. The core set includes isolated queues, unique jobs, prioritization, recurring cron jobs, snoozing, transactional completion, and test helpers. A web interface, pause and resume controls, automatic retries, error reporting, and telemetry integrations support operations. River UI is optional and self-hosted, with no external service dependencies. PostgreSQL is the primary database target; SQLite support is experimental. River Pro adds workflows that split complex work into individually retryable tasks, plus batching, concurrency limits, and ordered job sequences. The free Open Source plan includes the web UI but excludes workflows, concurrency limits, and support. Pro costs $125 a month and includes email support for up to 20 developers. Enterprise pricing is custom and includes email and Slack support, unlimited developers, and access to a SOC 2 report.