Powering the Future of Sports for 220 Million Fans: Dream11’s Vision to Make Sports Better Using AWS

In 2017, Dream11 began building a “data highway” to improve the user experience with rich, targeted features. The data highway facilitates the analysis of hundreds of types of user behavior such as how long a user engages with a certain feature. The homegrown analytics platform processes 14 TB of data per day using open-source streaming products as well as Amazon EMR.Dream11 relies on Amazon Redshift as a data warehouse for transactional data and business intelligence reporting. Dream11’s core management team, as well as its finance and product teams, use the insights from data delivered in near-real-time dashboards to support decision making. “Our dashboard data provides insights into Dream11 users, so we can understand their preferences, experiment and develop new features, get fast feedback, and roll out accordingly,” Jain says.Engineers at Dream11 can roll out small app enhancements in just 2–3 days and new products or large features in 1–6 weeks. “The various AWS technology offerings help us develop our prototypes and make them live very quickly, even at a massive scale,” Jain says. “This gives us a competitive edge in the market, where speed is essential.”

Dream11 further differentiates its fantasy sports platform from competitors with its rich social offering. Social connections with like-minded sports enthusiasts are an important part of the fantasy sports user experience, and the Dream11 app offers multiple opportunities for interaction. Users can set up chats, form groups to participate in public and private contests, and see how their scores rank within their social network.A recently introduced feature is the app’s ability to sync with contacts in users’ mobile phone books to find family and friends who are active participants. All these connections are enabled by using Amazon ElastiCache and a highly scalable Amazon Neptune graph database containing more than 20 million nodes and 220 million edges. “We are driving toward developing more relationships and enhancing the social aspect in order to retain users and provide the best possible sports engagement experience,” Jain says.

Among the social features on the Dream11 app, users can post videos and pictures, as well as share images in group chats. Dream11 uses the Amazon Rekognition machine learning (ML) service to automate image and video analysis. Thousands of images are reviewed each day as part of site moderation.Additionally, Dream11 has developed its own ML models to help forecast demand of the contests running on the app. A team is dedicated to building these models with Amazon SageMaker. They have also developed ML models to detect fraud. The models flag users who are trying to collude or create fake accounts on the platform. From a user perspective, participants benefit from ML-driven recommendations on which contests to join based on their past in-app behavior and other factors. At any given time, hundreds of contests are running simultaneously on the Dream11 platform, so time-conscious users greatly appreciate these recommendations. Dream11 anticipates even further growth, projecting a continued increase in user registrations in 2021. The company counts on its highly skilled engineering team to help navigate the next phases in its technology journey to support many more users and use cases. With AWS, engineers are confident in the tools they have at their disposal and can innovate in a self-directed manner. Jain concludes, “AWS promotes a user-first culture, with intuitive cloud-native services that help us launch things fast without any dependencies. The AWS solutions architects are always there to provide a greater perspective on how to use AWS so that we remain competitive in the market.”