Faktory vs RQ (Redis Queue)

Faktory is a persistent background job system that works across programming languages. It includes a responsive web interface for viewing and managing jobs, and uses Redis as a child process for local storage, persisting data to its configured directory. The maker lists worker bindings for Node/JavaScript, Ruby, Go, Python, PHP, Elixir, Rust, Swift, Crystal, Haskell, Java/JVM,.NET, and Clojure. Linux RPM and DEB packages, macOS Homebrew installation, and a Docker image are documented. Faktory supports TLS for worker and HTTP ports, with clients authenticated by a configured global password. The OSS edition is free under AGPL and has no dedicated support. Enterprise features include cron jobs, unique and expiring jobs, Redis Gateway, StatsD metrics, queue throttling, batches or workflows, and job status. Enterprise production use requires a valid license and is limited to purchased connections: the first pack is $299 a month for 100 connections, and each additional pack is $99 a month for 100 connections. Faktory does not provide clustered high availability; persistence and failover rely on Redis replication.

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.