Celery vs Temporal
A side-by-side comparison of two self-hosted automation & workflows options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Celery
Distributed task queue for Python with scheduling support
VS
Temporal
Durable execution platform for reliable distributed workflows
| Feature | Celery | Temporal |
|---|---|---|
| Category | Automation & Workflows | Automation & Workflows |
| License | BSD-3-Clause | MIT |
| Language | Python | Go |
| Setup difficulty | Medium | Hard |
| Min. RAM | 256 MB | 2,048 MB |
| Deployment | bare-metal, binary, source | docker, kubernetes, helm |
| GitHub stars | ★ 28,774 | ★ 22,173 |
| First released | 2009 | 2019 |
| Replaces | AWS Batch, AWS SQS | AWS Step Functions, Azure Logic Apps |
Why pick each one
Choose Temporal if…
- Extremely reliable for long workflows
- Strong multi-language support
Frequently asked questions
Is Celery or Temporal better?
Celery is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider Temporal if its specific feature set fits your needs better.
Are Celery and Temporal free and open-source?
Yes. Celery is licensed under BSD-3-Clause and Temporal under MIT. Both can be self-hosted at no software cost.
Can I run Celery and Temporal with Docker?
Celery: check the project docs for container support. Temporal: yes.