Windmill
Depends
Confidence: Medium
Buy if your team writes code and wants self-hostable, flexible workflow orchestration . and can patch fast.
Comparison
Windmill vs Apache Airflow
Windmill and Apache Airflow both land on Depends.
Apache Airflow
Depends
Confidence: Medium
Airflow is a buy for data engineering teams running many complex, code-defined pipelines with real ops capacity.
| Compare | Windmill | Apache Airflow |
|---|---|---|
| Verdict | Depends | Depends |
| Best for | Engineering teams automating internal workflows | Data teams with complex, code-defined pipelines |
| Who it's not for | Non-technical teams wanting no-code automation | Small teams that just need cron-style scheduled scripts |
| Privacy | Actively exploited CVE-2026-29059 (missing authorization) affects versions 1.56.0-1.614.0; official security page not found.⁸ | Actively maintained with a published security model, but frequent CVEs and publicized misconfiguration leaks . patch fast and lock down deployments. |
| Support quality | No evidence found | No direct support evidence found |
| Public sentiment | Public sources position Windmill as a code-first, open-source platform engineers like, but independent review quotes are scarce.⁴ | 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.14 |
| Biggest gotcha | CVE-2026-29059 actively exploited as of July 2026; patch immediately if self-hosting⁹ | Managed Airflow costs add up . setups around $1,500/month reported; forecast usage before committing. |
Pick Windmill when
- Engineering teams automating internal workflows
- Teams wanting code flexibility and self-hosting
- Replacing cron scripts with durable workflows
- Internal tool builders who code
When Windmill is not a fit
- Non-technical teams wanting no-code automation
- Small teams without an engineer to run it
- Orgs unable to patch fast against active exploits
- Anyone wanting plug-and-play SaaS simplicity
Pick Apache Airflow when
- Data teams with complex, code-defined pipelines
- Batch ETL scheduling and monitoring at scale
- Orgs with DevOps capacity or managed-hosting budget
When Apache Airflow is not a fit
- Small teams that just need cron-style scheduled scripts
- Non-developers . every workflow is Python code
- Real-time or streaming workloads (batch-oriented tool)
- Teams with nobody to patch, secure, and operate it
Sources
- Windmill official sitewindmill.devofficial
- Windmill GitHub repositorygithub.comofficial
- Windmill on Y Combinatorycombinator.comofficial
news
review
review
review
- Windmill CVEs and Security Vulnerabilitiesapp.opencve.iosecurity
- Active exploitation of Windmill vulnerabilityfieldeffect.comsecurity
- Windmill Security pagewindmill.devsecurity
- Windmill on Cloudron community packageforum.cloudron.ionews
review
- Apache Airflow Review: the good, the bad - Start Data Engineeringstartdataengineering.comreview
review
review
review