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Oban vs RQ (Redis Queue)

Oban

oban.pro

RQ (Redis Queue)

python-rq.org

Side by side

FigureObanRQ (Redis Queue)
Price from$135/moFree
Free planYesYes
Free trial——
Open source——
Linux—Yes
API—Yes
Self-hostedYesYes
Plans published41
Spec score · Task Queue Software7.7 (#21)8.2 (#9)
IntegrationsThe maker documents Elixir and Python packages, and says workflows coordinate directly through Postgres without a separate orchestration service.The project documents usage patterns for Heroku, Django, Sentry, Supervisor, and systemd.
PurposeOban is a background job framework for Elixir and Python, backed by a database.RQ is a Python library for queueing jobs and processing them in the background with workers.
SupportPro includes email support, while Enterprise Support offers a private Slack or Teams channel, prioritized support, configuration review, and video issue-triage calls during US and UK business hours.The project directs users to its Discord for help and discussion about contributions and the project's future.

Plans

Oban

  • Open SourceFree
  • Pro (monthly)$150 a month
  • Pro (yearly)$1,620 a year
  • EnterprisePriced on request

Oban pricing →

RQ (Redis Queue)

  • RQ (Redis Queue)Free

RQ (Redis Queue) pricing →

In their own words

Oban

Oban has no write-up on Specifiction yet; its figures are above.

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RQ (Redis Queue)

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.

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