Celery vs Dagster
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
Dagster
Data orchestrator for the full development lifecycle
| Feature | Celery | Dagster |
|---|---|---|
| Category | Automation & Workflows | Automation & Workflows |
| License | BSD-3-Clause | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 256 MB | 2,048 MB |
| Deployment | bare-metal, binary, source | docker, kubernetes, helm |
| GitHub stars | ★ 28,774 | ★ 15,943 |
| First released | 2009 | 2019 |
| Replaces | AWS Batch, AWS SQS | AWS Step Functions, Azure Data Factory |
Why pick each one
Frequently asked questions
Is Celery or Dagster better?
Neither is universally better. Celery has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Celery and Dagster free and open-source?
Yes. Celery is licensed under BSD-3-Clause and Dagster under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Celery and Dagster with Docker?
Celery: check the project docs for container support. Dagster: yes.