Case Study: Fz Sports boosts streaming performance and cuts storage costs with MongoDB Atlas

Fz Sports improves performance by 100% with MongoDB

Fz Sports, a global sports streaming platform, faced the challenge of needing to scale its database to handle simultaneous live events without downtime, while also managing unstructured data and reducing manual maintenance for its developers. Their previous relational database system was limiting growth and performance. They turned to vendor MongoDB and adopted MongoDB Atlas to address these issues.

By implementing MongoDB Atlas, including Atlas Search and Online Archive, Fz Sports achieved a 100% performance increase in one project and reduced storage costs by 40%. The solution provided automatic scaling for traffic peaks, improved search functionality for subscribers, and freed up developer resources. MongoDB's support and managed services were key to these results, ensuring high availability for tens of thousands of users.

Fz Sports