Starting with Airflow 2.3.0, Airflow is tested with:.
Python: 3.7, 3.8, 3.9, 3.10
PostgreSQL: 10, 11, 12, 13, 14
MySQL: 5.7, 8
MSSQL(Experimental): 2017, 2019
Kubernetes: 1.20.2, 1.21.1, 1.22.0, 1.23.0, 1.24.0
The minimum memory required we recommend Airflow to run with is 4GB, but the actual requirements depends wildly on the deployment options you have
Despite big similarities between MariaDB and MySQL, we DO NOT support MariaDB as a backend for Airflow. There are known problems (for example index handling) between MariaDB and MySQL and we do not test our migration scripts nor application execution on Maria DB. We know there were people who used MariaDB for Airflow and that cause a lot of operational headache for them so we strongly discourage attempts of using MariaDB as a backend and users cannot expect any community support for it because the number of users who tried to use MariaDB for Airflow is very small.
MySQL 5.x versions are unable to or have limitations with running multiple schedulers – please see: Scheduler.
SQLite is used in Airflow tests. Do not use it in production. We recommend using the latest stable version of SQLite for local development.
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