Title
Personalizing fantasy sports for millions of users
Customer Story: Dream11 - Databricks Personalizing fantasy sports for millions of users Skip to main content Login Why Databricks Discover For App Developers For Execu…
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Description
Dream11, the world's largest fantasy sports platform with over 120 million users, used Databricks on AWS to build scalable machine learning capabilities for personalization, social recommendations, real-time predictions and fraud detection. This shortened its time-to-market for new ML-powered solutions by 5x, from 5 months to 4 weeks.
…rts for millions of users 5x Faster time-to-market for new ML-powered solutions Dream11 is the world’s largest fantasy sports platform, with over 120 million users playing fantasy cricket, football, kabaddi, basketball, hockey, volleyball, han…
Company
Dream11
…rts for millions of users 5x Faster time-to-market for new ML-powered solutions Dream11 is the world’s largest fantasy sports platform, with over 120 million users playing fantasy cricket, football, kabaddi, basketball, hockey, volleyball, handball, rugby, futsal, American football and baseball. The platform manages about 100 million requests per minute, with more than 16 t…
Industry
Media & Entertainment
…at for an impeccable track record of scaling with data? Share this post Details Industry : Media & Entertainment Use Case : Data Science , Data Engineering Cloud : AWS , Google Cloud Product :…
Technology
Databricks Data + AI Platform, Agent Bricks
…rtainment Use Case : Data Science , Data Engineering Cloud : AWS , Google Cloud Product : Agent Bricks Ready to get started? Try Databricks for free Learn more about our product Talk…
Deployment model
Cloud
…ils Industry : Media & Entertainment Use Case : Data Science , Data Engineering Cloud : AWS , Google Cloud Product : Agent Bricks Ready to get started? Try Databricks for free Learn more…
Use case type
Personalisation
…Dream11 has been on a mission to raise the bar for driving adoption as well as personalizing its fantasy sports experience for users at scale. But without scalable machine learning capabilities, they were unable to tap in…
Headline outcome
…ing up processes for Dream11. Supported by higher data processing capabilities, Dream11 has shortened its time-to-market of new ML solutions — such as scaled-out recommendation systems and real-time fraud and anomaly detection programs — from 5 months to 4 weeks. “Our collaboration with Databricks has enabled us to take control of our data a…
AI capabilities
Predictive Analytics
…e under the vigilant eye of its DevOps team. By revving up its speed to market, Dream11 was also able to deliver a critical machine learning use case involving personalization, social recommendations and real-time predictions for the Indian Premier League within just one week. Databricks had also enabled…
Deployment options
cloud
…ils Industry : Media & Entertainment Use Case : Data Science , Data Engineering Cloud : AWS , Google Cloud Product : Agent Bricks Ready to get started? Try Databricks for free Learn more…
Capture details
- Captured
- 19 Sept 2026, 19:40 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- b88b2020757352654038178775c736e8a50a15d311b44e5362dfcc6dbd58ffbf