Program is ready!

The wait is over, the full program for Airflow Summit 2025 is now live!Join us in Seattle for three days packed with deep dives into Apache Airflow 3.0

Keynotes

Apache Airflow® 3 is here, bringing major improvements to data orchestration. In this keynote, core Airflow contributors will walk through key enhancements that boost flexibility, efficiency, and user experience.

About the venue

Join us in Seattle, USA, this October 7-9, 2025, as we scale to the next data era with Airflow 3.0! Save your spot and prepare to connect, learn, and celebrate in the Emerald City!

2024 Recordings!

Watch the recordings of the 2024 edition of Airflow Summit where we celebrated the 10th Anniversary of Apache Airflow. Start preparing to join us for Airflow Summit 2025 in Seattle this year to learn everything about Airflow 3.0!

Scholarships

Airflow Summit 2024 - Scholarship application

If you are interested in attending Airflow Summit 2024, but you do not have the resources to purchase your pass or you require travel support, we invite you to apply for a scholarship, there is a possibility of supporting you beyond your pass.

Not all questions are required, but the more information you provide us, the easier it will be for us to approve your scholarship. Scholarships are awarded based on a combination of need and impact. Scholarships are NOT transferable to another person, or any other event. Selection will be made by the organizer committee, who will assess each applicant’s request.

Registration is open!

Apache Airflow is turning 10 years in 2024 and we want to properly celebrate it with you! Join us next September 10-12th in San Francisco, California to keep learning and sharing all the improvements around Airflow for the past decade. The registration is now open, get your early bird tickets at https://airflowsummit.org/tickets

What Apache Airflow solves

Apache Airflow is a cutting-edge platform that makes it easy to plan and orchestrate any data pipeline or workflow. These pipelines require complex sequencing, coordination, and planning of various data sources, resulting in datasets that can be leveraged in business intelligence applications, data science models, or big data applications.

Airflow represents workflows as directed acyclic graphs (DAGs). A DAG is a series of interconnected tasks, with each task representing a specific step in the workflow. These tasks can be scheduled and executed in a defined order to ensure smooth data flow.