Apache Airflow
MLOps & Infrastructure
Overview
Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows and data pipelines. It uses directed acyclic graphs (DAGs) to define task dependencies, supports Python-based pipeline definitions, and provides a web UI for monitoring. Airflow is widely used for ETL, data engineering, and ML pipeline orchestration in enterprise environments.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises, SaaS (vendor-hosted)
- Regions served
- Global
- Categories
- Process automation, Free, MLOps & Infrastructure, Software & technology, Self-hosted / on-premises, MLOps & model tooling, Predictive / classical ML, SaaS (vendor-hosted)
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- airflow.apache.org
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.