Developer Tools
Best Task Queue Software in 2026
Task queue software helps applications hand off work for processing beyond the immediate request. Compare on deployment model, official SDK languages, maximum payload size, and the controls available for retries and dead-letter handling.
- 01 Graphile Worker
It suits development teams that use PostgreSQL and Node.js and want a self-hosted background job worker with scheduling and retry controls.
From $25/mo Free plan Open source Windows · macOS · Linux · API9.1 Visit Specs - 02 Hangfire
Hangfire suits developers building .NET or .NET Core applications that need persistent background jobs, scheduling or distributed processing.
From $41.67/mo Free plan Open source Web · Windows · Linux · API9.1 Visit Specs - 03
Inngest Inngest suits developers building event-driven workflows, background jobs, or agents who need durable execution and observability.
From $99/mo Free plan Open source Web · Windows · macOS · Linux9.1 Visit Specs - 04 Gearman
Gearman suits developers distributing jobs across processes or machines, including multilingual systems and self-hosted deployments.
Free plan Open source Windows · macOS · Linux · API8.8 Visit Specs - 05
Faktory The maker positions the OSS edition for hobbyists and startups, and Enterprise for companies with budgets.
From $99/mo Free plan Web · macOS · Linux · Self-hosted8.3 Visit Specs - 06 Google Tasks
It suits people who want to manage personal to-dos alongside Gmail and Calendar, or coordinate tasks in Google Chat spaces.
Free plan Web · iOS · Android8.2 Visit Specs - 07 IronWorker
IronWorker suits teams that need to run scheduled or event-triggered background tasks in supported languages and Docker containers.
From $169/mo Free plan Web · Windows · Linux · API8.2 Visit Specs - 08 pg-boss
It suits teams already using PostgreSQL who want background jobs without operating another system.
Free plan Web · Linux · API · Self-hosted8.2 Visit Specs - 09 RQ (Redis Queue)
RQ suits Python teams that want to run background jobs using Redis or Valkey and need scheduling, retries, or grouped workflows.
Free plan Linux · API · Self-hosted8.2 Visit Specs - 10 beanstalkd Free plan macOS · Linux · Self-hosted8.1 Visit Specs
- 11 Celery
Celery suits Python teams that need self-hosted background processing, retries, dead-letter queues or scheduled jobs.
Free plan macOS · Linux · API · Self-hosted8.1 Visit Specs - 12 Django Q2
Django teams that need asynchronous task execution, recurring schedules and task workflows may find it suitable.
Free plan Web · macOS · Linux · Self-hosted8.1 Visit Specs - 13 JobRunr
It suits Java teams that need to enqueue, schedule, and retry background work on the JVM.
From €100/mo Free plan Web · API · Self-hosted8.1 Visit Specs - 14
Hatchet Hatchet suits developers building AI agents, highly parallel workloads, or mission-critical workflows.
Free plan Web · Linux · API · Self-hosted8.0 Visit Specs - 15 Asynq Free plan API · Self-hosted7.9 Visit Specs
- 16 Sidekiq From $82.92/mo Free plan API · Self-hosted7.9 Visit Specs
- 17 River
River suits Go teams that need database-backed background processing and want jobs tied to transaction completion.
From $125/mo Free plan Web · Self-hosted7.8 Visit Specs - 18 Agenda Free plan API7.7 Visit Specs
- 19 arq Linux · Self-hosted7.7 Visit Specs
- 20 Dramatiq Windows · Linux · Self-hosted7.7 Visit Specs
- 21 Oban From $135/mo Free plan Self-hosted7.7 Visit Specs
- 22 Procrastinate Free plan Windows · macOS · Linux · API7.7 Visit Specs
- 23 Trigger.dev
It suits developers building long-running TypeScript or Python workflows, AI agents, and scheduled tasks.
From $10/mo Free plan Web · API · Self-hosted7.7 Visit Specs - 24 Bee-Queue API · Self-hosted7.6 Visit Specs
- 25 BullMQ From $116.25/mo Self-hosted7.6 Visit Specs
Scheduled jobs can matter for work that needs to run later; free plans and paid starting prices offer additional cost context. IronWorker, Faktory, and pg-boss are among the options, as are Inngest and River. Consider how your application handles failed tasks, what payloads it needs to support, and which languages and deployment approach fit your stack.
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