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Apache Airflow Apache Airflow® provides many plug-and-play operators that are ready to execute your tasks on Google Cloud Platform, Amazon Web Services, Microsoft Azure and many other third-party services
What is Airflow®? — Airflow 3. 0. 3 Documentation - Apache Airflow Apache Airflow® is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows Airflow’s extensible Python framework enables you to build workflows connecting with virtually any technology
Tutorials — Airflow 3. 0. 3 Documentation Tutorials ¶ Once you have Airflow up and running with the Quick Start, these tutorials are a great way to get a sense for how Airflow works
Quick Start — Airflow 3. 0. 2 Documentation Note Successful installation requires a Python 3 environment Starting with Airflow 2 7 0, Airflow supports Python 3 9, 3 10, 3 11, and 3 12 Officially supported installation methods include pip and uv Both tools provide a streamlined workflow for installing Airflow and managing dependencies
Documentation - Apache Airflow Airflow has an official Helm Chart that will help you set up your own Airflow on a cloud on-prem Kubernetes environment and leverage its scalable nature to support a large group of users
Installation of Airflow® — Airflow 3. 0. 3 Documentation It provides not only a capability of running Airflow components in isolation from other software running on the same physical or virtual machines and managing dependencies, but also it provides capabilities of easier maintaining, configuring and upgrading Airflow in the way that is standardized and will be maintained by the community
Architecture Overview — Airflow 3. 0. 3 Documentation Airflow is a platform that lets you build and run workflows A workflow is represented as a DAG (a Directed Acyclic Graph), and contains individual pieces of work called Tasks, arranged with dependencies and data flows taken into account
UI Overview — Airflow 3. 0. 3 Documentation As of Airflow 3, the UI has been refreshed with a modern look, support for dark and light themes, and a redesigned navigation experience This guide offers a reference-style walkthrough of key UI components, with annotated screenshots to help new and experienced users alike
Core Concepts — Airflow 3. 0. 2 Documentation Here you can find detailed documentation about each one of the core concepts of Apache Airflow® and how to use them, as well as a high-level architectural overview
Use Cases - Apache Airflow Apache Airflow® can orchestrate most anything! Apache Airflow® allows you to define almost any workflow in Python code, no matter how complex Because of its versatility, Airflow is used by companies all over the world for a variety of use cases This section presents the four most common use cases for Airflow, but the possibilities are endless