Is Apache Airflow free or paid?

Apache Airflow offers both free and paid plans. The free tier provides basic features, while paid plans unlock advanced capabilities.

Does Apache Airflow require coding?

Apache Airflow offers both no-code solutions and API access for developers. You can use it without coding, or integrate it programmatically if you have technical skills.

What platforms does Apache Airflow support?

Apache Airflow is primarily a web-based tool. It also provides API access for developers who want to integrate it into their applications.

How does Apache Airflow compare to alternatives?

Apache Airflow stands out with its high user ratings. It offers a free tier, making it accessible to users on a budget. The API integration capabilities make it ideal for developers. For detailed comparisons, check out our alternatives page.

Apache Airflow

Name: Apache Airflow
Brand: Apache Software Foundation
Rating: 4.5 (18234 reviews)

4.5

(18234 reviews)

Programmatically author, schedule, and monitor workflows.

Apache Airflow® is a community-driven platform for programmatically authoring, scheduling, and monitoring workflows. It features a modular architecture, dynamic pipeline generation using Python, and a robust web application for workflow management.

Business IntelligenceData Integration & ETLApache Airflowworkflowsscheduling

Overview

Apache Airflow® is a platform created by the community to programmatically author, schedule, and monitor workflows. It features a modular architecture and utilizes a message queue to orchestrate an arbitrary number of workers, making it ready to scale to infinity.

Key features of Apache Airflow® include the ability to define pipelines in Python, allowing for dynamic pipeline generation, and the option to easily define custom operators to fit specific environments. The core of Airflow is built around parametrization, utilizing the powerful Jinja templating engine, which enhances flexibility in workflow creation.

Targeted at anyone with Python knowledge, Apache Airflow® enables users to deploy workflows for various applications, including building ML models, transferring data, and managing infrastructure. The platform offers a robust and modern web application for monitoring, scheduling, and managing workflows, eliminating the need for outdated command-line interfaces.

With many plug-and-play operators available for integration with services like Google Cloud Platform, Amazon Web Services, and Microsoft Azure, Apache Airflow® is designed to seamlessly fit into existing infrastructures and adapt to next-gen technologies, providing significant benefits in workflow management and execution.

Screenshots & Videos

Homepage screenshot of https://airflow.apache.org

Pricing Plans

Pricing Model: free (open source)

Pros (7)

Modular architecture that uses a message queue to orchestrate an arbitrary number of workers.
Pipelines are defined in Python, allowing for dynamic pipeline generation.
Easily define your own operators and extend libraries to fit your environment.
Pipelines are lean and explicit with built-in parametrization using Jinja templating engine.
No need to learn old, cron-like interfaces; modern web application for monitoring and managing workflows.
Provides many plug-and-play operators for integration with major cloud platforms and third-party services.
Anyone with Python knowledge can deploy a workflow, making it accessible for various use cases.