Apache Airflow
A platform to programmatically author, schedule, and monitor workflows.
Overview
Apache Airflow is an open-source workflow management platform. It started at Airbnb in October 2014 as a solution to manage the company's increasingly complex workflows. Airflow's workflows are defined as Directed Acyclic Graphs (DAGs) of tasks. Airflow is widely used to orchestrate ETL jobs, machine learning pipelines, and other data-related workflows.
✨ Key Features
- Dynamic pipeline generation using Python
- Extensible with custom operators and plugins
- Scalable with a modular architecture
- Rich user interface for monitoring and managing workflows
🎯 Key Differentiators
- Large and active open-source community
- Mature and battle-tested
- Highly extensible and customizable
Unique Value: Provides a flexible and powerful way to programmatically author, schedule, and monitor complex data pipelines.
🎯 Use Cases (4)
✅ Best For
- Data engineering pipelines at Airbnb, Spotify, and Twitter
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Streaming data pipelines
- Workflows requiring low latency
🏆 Alternatives
Offers a more code-centric and customizable approach compared to some GUI-based workflow orchestrators.
💻 Platforms
🔌 Integrations
💰 Pricing
Free tier: Open-source and free to use, but incurs costs for underlying infrastructure.
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