Airflow is tested with:

  • Python: 3.6, 3.7, 3.8, 3.9

  • Databases:

    • PostgreSQL: 9.6, 10, 11, 12, 13

    • MySQL: 5.7, 8

    • SQLite: 3.15.0+

    • MSSQL(Experimental): 2017, 2019

  • Kubernetes: 1.18.15 1.19.7 1.20.2

Note: MySQL 5.x versions are unable to or have limitations with running multiple schedulers – please see: Scheduler. MariaDB is not tested/recommended.

Note: SQLite is used in Airflow tests. Do not use it in production. We recommend using the latest stable version of SQLite for local development.

Note: Python v3.10 is not supported yet. For details, see #19059.

Starting with Airflow 2.1.2, Airflow is tested with Python 3.6, 3.7, 3.8, and 3.9.

The minimum memory required we recommend Airflow to run with is 4GB, but the actual requirements depends wildly on the deployment options you have

Note: Airflow currently can be run on POSIX-compliant Operating Systems. For development it is regularly tested on fairly modern Linux Distros and recent versions of MacOS. On Windows you can run it via WSL2 (Windows Subsystem for Linux 2) or via Linux Containers. The work to add Windows support is tracked via #10388 but it is not a high priority. You should only use Linux-based distros as “Production” execution environment as this is the only environment that is supported. The only distro that is used in our CI tests and that is used in the Community managed DockerHub image is Debian Buster.

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