Apache Airflow vs Jobber
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?
Apache Airflow
Programmatically author, schedule and monitor workflows
VS
Jobber
Smarter cron replacement with retries and notifications
| Feature | Apache Airflow | Jobber |
|---|---|---|
| Category | Automation & Workflows | Automation & Workflows |
| License | Apache-2.0 | MIT |
| Language | Python | Go |
| Setup difficulty | Hard | Easy |
| Min. RAM | 4,096 MB | 64 MB |
| Deployment | docker, kubernetes, helm | binary, source |
| GitHub stars | ★ 46,409 | ★ 1,417 |
| First released | 2015 | 2015 |
| Replaces | AWS Step Functions, Azure Data Factory | cron |
Why pick each one
Choose Jobber if…
- Released under the MIT license
- Easy to set up — beginner-friendly
- Active community (1.4k GitHub stars)
- Written in Go
Frequently asked questions
Is Apache Airflow or Jobber better?
Neither is universally better. Apache Airflow has the larger community, while Jobber is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Apache Airflow and Jobber free and open-source?
Yes. Apache Airflow is licensed under Apache-2.0 and Jobber under MIT. Both can be self-hosted at no software cost.
Can I run Apache Airflow and Jobber with Docker?
Apache Airflow: yes. Jobber: check the project docs for container support.