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Apache Airflow

Read 12 Apache Airflow reviews and testimonials from customers, explore 12 case studies and customer success stories, and watch customer videos to see why companies chose Apache Airflow as their Business Process Automation

Apache Airflow is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows. Airflow's extensible Python framework enables you to build workflows connecting with virtually any technology. A web interface helps manage the state of your workflows. Airflow is deployable in many ways, varying from a single process on your laptop to a distributed setup to support even the biggest workflows.

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Customer Rating Review Score based on 372 reference ratings
4.8/5.0 (372)

12Testimonials

  • "Airflow is Batteries-Included. A great ecosystem and community that comes together to address about any (batch) data pipeline needs."

    Austin Benett Dish

  • "Airflow helped us increase the visibility of our batch processes, decouple our batch jobs, and improve our development cycle, all while building confidence in our ability to scale and grow."

    Christopher Petrino Seniorlink

  • "Apache Airflow helps us orchestrate the construction and release of our curated collection of containers."

    Ruben Pardo Rancher SUSE
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12 Case Studies

  • Big Fish accelerates ETL workflows with Apache Airflow

    Suganya Varadarajan Big Fish

  • Onefootball manages data pipelines in 100 days with Apache Airflow

    Louis Guitton Onefootball

  • adjoe manages 20+ DAGs and 50+ tasks with Apache Airflow

    Tadeh Alexani Adjoe
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Additional Apache Airflow Information & Resources

Read Apache Airflow Reviews, Testimonials & Customer References from 12 real Apache Airflow customers.

Browse Apache Airflow Case Studies, Customer Success Stories, & Customer References from 12 businesses that use Apache Airflow.

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