Case Study: Fortis Games builds a scalable real-time gaming data platform with Redpanda Cloud

Fortis Games builds a flexible real-time data platform to simplify game development

Fortis Games, a global video game developer and publisher, needed a scalable, flexible, and developer-friendly real-time data platform to power player experiences with live game events and analytics. Their earlier Kafka-based setup was complex and couldn’t scale smoothly without lag during gameplay interactions, creating a challenge for delivering fast insights without adding backend burden.

Fortis Games chose Redpanda Data’s Redpanda Cloud (BYOC) to build a Kafka-compatible streaming foundation integrated with tools like ClickHouse, Apache Flink, and Apache Iceberg. With Redpanda, the team reduced Kafka-related headaches by 90%, tested the platform at up to 100 million users with no performance blips, and ran on about one-third the compute resources versus Kafka, lowering infrastructure costs while improving reliability and scale.

Fortis Games

Colin Riddell

Director of Data Engineering