Apache Airflow
Depends
Confidence: Medium
Airflow is a buy for data engineering teams running many complex, code-defined pipelines with real ops capacity.
Comparison
Apache Airflow and Windmill both land on Depends.
Airflow is a buy for data engineering teams running many complex, code-defined pipelines with real ops capacity.
Buy if your team writes code and wants self-hostable, flexible workflow orchestration . and can patch fast.
| Compare | Apache Airflow | Windmill |
|---|---|---|
| Verdict | Depends | Depends |
| Best for | Data teams with complex, code-defined pipelines | Engineering teams automating internal workflows |
| Who it's not for | Small teams that just need cron-style scheduled scripts | Non-technical teams wanting no-code automation |
| Privacy | Actively maintained with a published security model, but frequent CVEs and publicized misconfiguration leaks . patch fast and lock down deployments.⁹ | Actively exploited CVE-2026-29059 (missing authorization) affects versions 1.56.0-1.614.0; official security page not found. |
| Support quality | No direct support evidence found | No evidence found |
| Public sentiment | Reviewers and Reddit data engineers respect Airflow's orchestration power but repeatedly flag its learning curve, self-hosting burden, and tendency to be used outside its sweet spot.² | Public sources position Windmill as a code-first, open-source platform engineers like, but independent review quotes are scarce. |
| Biggest gotcha | Managed Airflow costs add up . setups around $1,500/month reported; forecast usage before committing.⁶ | CVE-2026-29059 actively exploited as of July 2026; patch immediately if self-hosting |