Apache Airflow vs Beehive
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
Beehive
Event and agent system for connecting things
| Feature | Apache Airflow | Beehive |
|---|---|---|
| Category | Automation & Workflows | Automation & Workflows |
| License | Apache-2.0 | AGPL-3.0 |
| Language | Python | Go |
| Setup difficulty | Hard | Easy |
| Min. RAM | 4,096 MB | 128 MB |
| Deployment | docker, kubernetes, helm | docker, binary |
| GitHub stars | ★ 46,409 | ★ 6,485 |
| First released | 2015 | 2015 |
| Replaces | AWS Step Functions, Azure Data Factory | IFTTT |
Why pick each one
Frequently asked questions
Is Apache Airflow or Beehive better?
Neither is universally better. Apache Airflow has the larger community, while Beehive is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Apache Airflow and Beehive free and open-source?
Yes. Apache Airflow is licensed under Apache-2.0 and Beehive under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run Apache Airflow and Beehive with Docker?
Apache Airflow: yes. Beehive: yes.