Case Study: The Texas Rangers accelerate baseball analytics with Astro from Astronomer

The Texas Rangers cut analytics pipeline time by over 80% with Astronomer, Inc.

The Texas Rangers, a Major League Baseball team, faced a significant challenge with their data analytics pipeline. Their existing Apache Airflow setup was causing severe bottlenecks, maxing out CPU and delaying the processing of live game analytics by over 20 minutes. This delay prevented them from delivering timely performance insights to players and coaches, potentially giving opposing teams an advantage. They approached vendor Astronomer, Inc. to find a solution for their Astro platform.

Astronomer implemented a solution using a proprietary Astro feature called worker queues. This created a dedicated, high-performance worker pool for the CPU-intensive game analytics pipeline, isolating it from other tasks. As a result, pipeline completion time was cut by over 80% to just 3 minutes, and CPU was no longer maxed out. The Texas Rangers accelerated their data delivery by 24 hours without any additional compute costs, enabling them to serve analytics immediately after games and process four additional pipelines in parallel.

The Texas Rangers