Effective workflow orchestration is the key to creating automation around complex process-oriented activities in the modern landscape of software development. Considering data engineering and data science, Astro and Apache Airflow rise to the top as important tools used in the management of these data workflows. This article compares Astro and Apache Airflow, explaining their architecture, features, scalability, usability, community support, and integration capabilities. This should help software developers and data engineers in selecting the right tool for their specific needs and project requirements.
Astro Overview
Astro is a fully Kubernetes-native platform designed to easily orchestrate the workflows in cloud-native systems. It uses Kubernetes itself to handle container orchestration, which adds fault tolerance and elasticity out of the box. Hence, Astro works effectively in scenarios that require microservices and containerization to be essential to the architecture.