Case Study: DataStax achieves 40% less maintenance overhead and faster Airflow upgrades with Astronomer, Inc.'s Astro

Datastax Doubles Down on Astro While Scaling Data Operations

DataStax, a generative AI and enterprise data company, needed a more stable and scalable way to manage increasingly complex Airflow-based data orchestration across product development and go-to-market workflows. With multiple deployment approaches in use and operational friction around maintenance, upgrades, and visibility, DataStax turned to Astronomer, Inc.’s Astro platform to simplify its data operations.

Astronomer, Inc. helped DataStax migrate from Astro Hybrid and other orchestration tools to fully hosted Astro, improving stability, visibility, and upgrade management. The result was a 40% reduction in maintenance overhead, with Airflow upgrades that once took weeks now completed in just a few hours, freeing engineers to focus on roadmap and innovation work.

DataStax

Ankush Gautam

Data Engineering and Platform Leader