Case Study: Dream11 achieves 5x faster ML time-to-market and personalized fantasy experiences with Databricks

Personalizing fantasy sports for millions of users

Dream11, the world’s largest fantasy sports platform with over 120 million users and peaks of 100 million requests per minute, faced growing complexity from legacy systems that limited machine learning, slowed code sharing and scaling, and made personalization and real‑time fraud detection difficult at scale. With user concurrency and data volumes surging during major events, Dream11 needed a centralized, reliable ML platform to democratize data, streamline collaboration, and deliver personalized experiences securely.

By adopting Databricks on AWS, Dream11 unified its data and ML workflows, enabled seamless notebook and production job sharing, and scaled pipelines for real‑time recommendations and fraud detection. The result: a 5x faster time‑to‑market for ML solutions (from ~5 months to ~4 weeks), doubled Databricks adoption within months, and the ability to support 5.5 million concurrent users and 100M RPM while improving personalization, fraud prevention and team productivity.

Dream11

Abhishek Ravi

Chief Information Officer