Tool for defining and running multi-container Docker applications using YAML configuration files. Perfect for data engineering workflows that require multiple services like databases, message queues, and processing engines running together. Simplifies complex container setups into simple, version-controlled configurations.
Python data engineers use Docker Compose to run local development environments that mirror production — spinning up a Postgres database, Redis cache, and a Python pipeline container together with a single command. The official Airflow Docker Compose file is the standard way to run a local Airflow instance with scheduler, webserver, and worker all configured automatically.
Tool for defining and running multi-container Docker applications using YAML configuration files. Perfect for data engineering workflows that require multiple services like databases, message queues, and processing engines running together. Simplifies complex container setups into simple, version-controlled configurations.
Yes, Docker Compose is free to use.
Docker Compose is listed under the Getting Started category on Python Data Engineering.
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