Case Study: Blitz achieves faster, personalized gaming recommendations with Databricks

How Blitz and Databricks are Powering a New Era of Competitive Gaming

Blitz, the cross-games coaching app with more than 8 million active users, needed a better way to turn massive gameplay and telemetry data into personalized recommendations, especially for Riot Games’ Teamfight Tactics. With millions of possible compositions and rapidly changing game sets, the team wanted a scalable way to deliver accurate, scenario-based coaching faster than a manual, expert-driven approach could.

Databricks helped Blitz migrate from Snowflake to the Databricks Data Intelligence Platform, unifying ETL, warehousing, BI, data exploration, and ML on one platform. With Databricks, Blitz gained flexible partitioning, native MLflow support, Auto Loader, serverless SQL, and auto-scaling pipelines, which improved real-time insights, simplified operations, and reduced infrastructure costs while enabling new game features to reach market in weeks instead of months.

Blitz