Apache Airflow vs Kestra
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
Kestra
Declarative orchestration and scheduling platform
| Feature | Apache Airflow | Kestra |
|---|---|---|
| Category | Automation & Workflows | Automation & Workflows |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Java |
| Setup difficulty | Hard | Hard |
| Min. RAM | 4,096 MB | 1,024 MB |
| Deployment | docker, kubernetes, helm | docker, kubernetes |
| GitHub stars | ★ 46,409 | ★ 27,575 |
| First released | 2015 | 2021 |
| Replaces | AWS Step Functions, Azure Data Factory | Zapier, Make |
Why pick each one
Choose Kestra if…
- Strong for data orchestration
- Scalable architecture
- Open-source license
Frequently asked questions
Is Apache Airflow or Kestra better?
Neither is universally better. Apache Airflow has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.
Are Apache Airflow and Kestra free and open-source?
Yes. Apache Airflow is licensed under Apache-2.0 and Kestra under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Apache Airflow and Kestra with Docker?
Apache Airflow: yes. Kestra: yes.