watchman vs Apache Airflow
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?
watchman
Watch files and trigger actions when they change
VS
Apache Airflow
Programmatically author, schedule and monitor workflows
| Feature | watchman | Apache Airflow |
|---|---|---|
| Category | Automation & Workflows | Automation & Workflows |
| License | MIT | Apache-2.0 |
| Language | C++ | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 128 MB | 4,096 MB |
| Deployment | binary, source | docker, kubernetes, helm |
| GitHub stars | ★ 13,660 | ★ 46,409 |
| First released | 2013 | 2015 |
| Replaces | fswatch | AWS Step Functions, Azure Data Factory |
Why pick each one
Choose watchman if…
- Released under the MIT license
- Mature project with 13.7k GitHub stars
- Written in C++
- Tiny footprint — runs in 128 MB RAM
Frequently asked questions
Is watchman or Apache Airflow better?
Neither is universally better. Apache Airflow has the larger community, while watchman is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are watchman and Apache Airflow free and open-source?
Yes. watchman is licensed under MIT and Apache Airflow under Apache-2.0. Both can be self-hosted at no software cost.
Can I run watchman and Apache Airflow with Docker?
watchman: check the project docs for container support. Apache Airflow: yes.