Apache Airflow

Apache Airflow is a tool that helps you create and manage automated workflows for processing data. Think of it as a smart coordinator that runs your tasks in the right order, at the right time, and handles problems when they occur.

You define your workflows using Python code, which means you can use all the tools you already know. Each workflow is called a DAG, which shows how your tasks connect and depend on each other. Airflow comes with a visual web dashboard where you can see your workflows running, check logs, and restart failed tasks.

The platform works with cloud services like AWS, Google Cloud, and Azure, plus hundreds of other tools through ready-made connections. You can run it on your own servers or use managed services like Astronomer.

• Python-based workflow creation

• Visual web dashboard with monitoring

• Automatic task scheduling and retries

• Smart dependency management

• Scalable from laptop to cloud

• 1,500+ ready-made integrations

• Works with AWS, Google Cloud, Azure

• Command-line tools for automation

• Built-in logging and alerting

• Open source and self-hosted

• Active community support

• Enterprise-grade features available