Case Study: Hypergryph cuts computation time by 50% with Alibaba Cloud EMR Serverless Spark

Hypergryph cuts computation time by 50% with Alibaba Cloud

Hypergryph, a game developer based in Shanghai, faced significant challenges with its legacy data platform. The platform lacked integration with popular schedulers, suffered from low community compatibility causing stability issues, and experienced disk pressure during large operations. These limitations hindered the data demands of its live-service game, Arknights. Hypergryph turned to Alibaba Cloud for a solution using its EMR Serverless Spark product.

Alibaba Cloud implemented EMR Serverless Spark as a fully managed, core compute engine. This solution provided seamless scheduler integration, a built-in remote shuffle service to eliminate bottlenecks, and 100% Spark compatibility for stability. As a result, Hypergryph achieved a 50% reduction in key metric computation time, accelerated its core SLA pipeline delivery by 1.5 hours, and significantly reduced operational overhead.

Hypergryph