Apache Airflow and Airbyte are complementary tools that can be used together to meet your data integration requirements. Airbyte can be used to extract data from hundreds of sources and load it to any of its supported destinations. Airflow can be used for scheduling and orchestration of tasks, including triggering Airbyte synchronizations. The combination of Airflow and Airbyte provides a flexible, scalable, and maintainable solution for managing your data integration and data processing requirements.
In this tutorial, you will install Airbyte Open Source and Apache Airflow running in a local Docker Desktop environment. After installation, you will configure a simple Airbyte connection. Next, you will create an Airflow-directed acyclic graph (DAG), which triggers a data synchronization over the newly created Airbyte connection and then triggers (orchestrates) some additional tasks that depend on the completion of the Airbyte data synchronization.