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Head-to-head · Task Queue Software

Hatchet vs Celery

  • Updated Sep 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Hatchet #1 in Task Queue Software 5.0/10 Free plan · paid from $10 Free plan✓ 0 of 3 features Visit Hatchet
Celery #7 in Task Queue Software —/10 Open source ✓ 3 of 3 features Visit Celery

Hatchet leads on 1 check, Celery on 3, and 0 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreHatchet · 5.0/10
  • Free planonly Hatchet
  • Most featuresCelery · 3 of 3

Our editors rank Hatchet at #1 and Celery at #7 for task queue software; Celery has no rubric score yet (facts researched, not yet scored), so the checks below decide.

Hatchet offers free plan; Celery doesn't publish it. On deployment model, Hatchet gives you Hybrid where Celery offers Self_hosted. Celery offers custom retry policy; Hatchet doesn't publish it. Celery offers scheduled jobs; Hatchet doesn't publish it. Celery offers dead-letter queue; Hatchet doesn't publish it.

Hatchet is the better fit for observable durable workflows and AI tasks. Celery is the better fit for python teams needing mature distributed tasks.

  • Hatchet fits best

    Observable durable workflows and AI tasks

  • Celery fits best

    Python teams needing mature distributed tasks

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Side by side

Feature Hatchet 5.0/10 Visit ↗ Celery —/10 Visit ↗
At a glance
Editor score 5.0 —
Ranking #1 in Task Queue Software #7 in Task Queue Software
Best for Observable durable workflows and AI tasks Python teams needing mature distributed tasks
Pricing model Free plan + paid Free
Starting price Not published Not published
Free plan ✓ (best) Not published
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Platforms Web Linux, macOS
Support Email, Community, Docs Community, Docs
Integrations 7 integrations 10 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Hatchet 0/3 · Celery 3/3
Custom retry policy Not published ✓ (best)
Scheduled jobs Not published ✓ (best)
Dead-letter queue Not published ✓ (best)
Specs
Deployment model Hybrid Self_hosted
Maximum payload size Not published Not published
Official SDK languages Not published Python
Our review
Pros
  • Durable execution with retries, scheduling, DAGs, and replay
  • Detailed traces, logs, metrics, alerting, and preserved run data
  • Cloud, self-hosted, and hybrid deployment with AI SDK integrations
  • Runs tasks across worker processes and machines
  • Flexible retries, scheduling, routing, and concurrency options
  • Broad broker, backend, database, and search integrations
Cons
  • Team starts at $500/month before usage charges
  • Retention is 3 days on Team and 7 days on Scale
  • Advanced compliance and enterprise controls require higher tiers
  • Official SDK coverage is Python-only
  • Teams manage workers, brokers, and result stores themselves
  • Dead-letter handling depends on broker configuration
Our verdict

Hatchet is a developer platform for AI agents, durable workflows, background tasks, and event-driven applications. Engineering teams define workflows in code, while workers run on customer infrastructure and the orchestration engine runs…

Read the review →

Celery is an open-source, self-hosted distributed task queue for Python applications. It lets applications submit asynchronous work through a message broker while workers execute tasks across processes or machines. The feature set suits…

Read the review →
  1. HatchetTask Queue Software 5.0Free plan · paid from $10
  2. CeleryTask Queue Software —Open source

Strengths and trade-offs

  • Hatchet — where it wins

    • Durable execution with retries, scheduling, DAGs, and replay
    • Detailed traces, logs, metrics, alerting, and preserved run data
    • Cloud, self-hosted, and hybrid deployment with AI SDK integrations

    Where it doesn't

    • Team starts at $500/month before usage charges
    • Retention is 3 days on Team and 7 days on Scale
    • Advanced compliance and enterprise controls require higher tiers

  • Celery — where it wins

    • Runs tasks across worker processes and machines
    • Flexible retries, scheduling, routing, and concurrency options
    • Broad broker, backend, database, and search integrations

    Where it doesn't

    • Official SDK coverage is Python-only
    • Teams manage workers, brokers, and result stores themselves
    • Dead-letter handling depends on broker configuration
  • Hatchet5.0/10 · Free plan · paid from $10

    A code-first queue for durable execution, observable workflows, and AI task orchestration.

    Visit HatchetFull verdict →
  • Celery—/10 · Open source

    A mature self-hosted queue for Python teams that need distributed task control.

    Visit CeleryFull verdict →

More comparisons

All task queue software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026