Apache Airflow
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows.
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Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. Using Python-based Directed Acyclic Graphs (DAGs), it allows for highly extensible and scalable data pipeline management. With the release of Airflow 3.0, it has introduced advanced features like asset-aware scheduling and event-driven triggers, making it the industry standard for orchestrating complex DataOps and MLOps workloads across diverse cloud and on-premise environments.
Key features
- Python-based DAG definition
- Scalable distributed architecture
- Rich UI monitoring dashboard
- Asset-aware scheduling
- Event-driven triggers
- Robust retry and error handling
- 1000+ provider integrations
Pricing
Use cases
- ETL/ELT pipeline orchestration
- ML model training automation
- Infrastructure management workflows
- Automated report generation
Who it is for
Data EngineersML EngineersDevOps Engineers
Integrations
AWSGoogle CloudAzureSnowflakedbt
Tags
MLOpsDAG
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 08/30/2026Verified sources: 2
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