Case Study: Cincinnati Reds achieve faster real-time baseball analytics with Databricks

Winning on and off the field with cutting-edge baseball analytics

The Cincinnati Reds needed to modernize a complex legacy data infrastructure to deliver faster, real-time baseball insights at scale. To improve operational efficiency and support near-instant decisions for players and coaches, they turned to Databricks, using the Databricks Data Intelligence Platform and Databricks Lakeflow Jobs as part of their transformation.

Databricks helped the Cincinnati Reds automate data pipelines, move to a serverless architecture, and gain more control and traceability over workflows. The results included a 3–5x improvement in latency, reducing processing time from about 10 minutes to 2–3 minutes, up to 83% lower latency overall, and a 65–80% reduction in VM costs. With Databricks, the Reds now run 15,000–20,000 workflow steps daily more efficiently, deliver faster reports, and provide real-time feedback for coaching and player development.

Cincinnati Reds

Bryce Dugar

Data Engineering Manager