Case Study: Dream11 achieves 40% better performance and lower costs with Amazon Web Services OpenSearch Service

Upping Performance by 40% and Optimizing Cost Using Amazon OpenSearch Service with Dream11

Dream11, based in Mumbai, India, needed a scalable way to power search and analytics for its fantasy sports app, where users rely on real-time stats before and after matches. Its existing Elasticsearch setup on Amazon EC2 was difficult to scale manually, created uneven CPU usage during traffic spikes, and led to high operational overhead and compute costs. With Elasticsearch’s open-source distribution being phased out, Dream11 chose Amazon Web Services and Amazon OpenSearch Service as its replacement.

Amazon Web Services helped Dream11 migrate to Amazon OpenSearch Service, improving cluster performance by 40% while significantly optimizing compute costs. The new setup reduced the strain caused by peak workloads, improved speed and internal user experience, and gave the team a more flexible open-source-based search and analytics platform.

Dream11

Mehul Batra

Software Engineer