A workflow orchestration platform that allows you to programmatically author, schedule, and monitor complex data pipelines and task dependencies.
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Frequently asked questions
Airflow® is tested with:
Python: 3.10, 3.11, 3.12, 3.13
Databases:
PostgreSQL: 13, 14, 15, 16, 17
MySQL: 8.0, Innovation
SQLite: 3.15.0+
Kubernetes: 1.30, 1.31, 1.32, 1.33
While we recommend a minimum of 4GB of memory for Airflow, the actual requirements heavily depend on your chosen deployment.
For more information, refer to the Apache Airflow prerequisites.
Apache Airflow’s primary function is to serve as a robust platform for defining and executing Directed Acyclic Graphs (DAGs), which represent sequential data workflows. Its most common use case is the construction and management of ETL (Extract, Transform, Load) and ELT processes, ensuring that data is reliably ingested, cleaned, and transformed before being loaded into data warehouses or analytical databases. Airflow automatically handles complex task dependencies, provides visual monitoring of runs, and offers retry logic for failed steps, making it indispensable for maintaining data quality and timeliness in production environments.
Beyond core data movement, Airflow is widely adopted for orchestrating advanced processes across disparate systems. This includes scheduling and automating entire machine learning pipelines, from model training and evaluation to deployment and monitoring. It is also frequently utilized for general infrastructure automation, such as coordinating system backups, generating reports on a schedule, or syncing data across various cloud services, APIs, and on-premises resources, centralizing operational control over all computational tasks.
Kamatera offers a free 30-day trial period. This free trial offers services worth up to $100 on 1 server. After signing up, you can use the management console to deploy a server and test our infrastructure. You can select a data center, operating system, CPU, RAM, storage, and other system preferences.
Our system accepts credit/debit cards issued by your local bank branch with a cardholder’s name. We also accept payments through PayPal.