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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 276 reference ratings
4.8/5.0 (276)

12Testimonials

  • "Airflow is extensible enough for any business to define the custom operators they need. Airflow can help you in your DataOps journey: viewing analytics as code, monitoring, reusing components, being …

    Louis Guitton Onefootball

  • "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

  • "Airflow can be an enterprise scheduling tool if used properly. Its ability to run "any command, on any node" is amazing. Handling complex, mixed-mode tasks was easy and scaling out …

    Luke Bodeen Experity
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12 Case Studies

  • Onefootball - Customer Case Study

    Louis Guitton Onefootball

  • Sift - Customer Case Study

    Handong Park Sift

  • Seniorlink - Customer Case Study

    Christopher Petrino Seniorlink
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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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