53,871
Companies using
tracked by TheirStack
Report
Platform created by the community to programmatically author, schedule and monitor workflows.
Depends
DependsAirflow is a buy for data engineering teams running many complex, code-defined pipelines with real ops capacity.
Powerful open-source pipeline orchestration for data teams — overkill and ops-heavy for simple scheduled jobs.
53,871
Companies using
tracked by TheirStack
Free
Starting price
open-source, self-hosted core
Yes
Free tier
Apache-licensed core; managed hosting costs extra
2.18%
Market share
data integration category (Enlyft)
Free core; managed hosting gets pricey
Code-first DAGs; steep learning curve reported
Deep scheduling and monitoring; called gold standard
Dozens of CVEs; misconfigurations leaked credentials
Free
Usage-based
Actively maintained with a published security model, but frequent CVEs and publicized misconfiguration leaks — patch fast and lock down deployments.
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.
“Apache Airflow sucks change my mind”
“When Apache Airflow Isn't Your Best Bet!”
“What are some absurd ways you've seen people using Airflow?”
Compare Apache Airflow with each alternative.
Managed Airflow — skips self-hosting ops entirely
Asset-focused orchestrator, popular with modern data teams
Apache Airflow vs DagsterOpen-source scripts-and-flows alternative with lighter ops
Apache Airflow vs WindmillGuess: fine for a handful of simple scheduled jobs
Based on ~60 public sources: review sites, Reddit threads, CVE trackers, and cloud pricing pages. Snippets were truncated; numeric review ratings unavailable.
Anonymous. You can change your vote.
Loading votes…
Ask if a use case fits. Answers stay inside this report and its sources.