Pinhome Engineering, Indonesia's largest property transaction platform, successfully enhanced its recommendation engine by migrating from MongoDB and PostgreSQL to ScyllaDB, resulting in significant improvements in cost efficiency and performance. The switch was driven by the need to handle increased web traffic and improve the accuracy and reliability of recommendations amid rapid user base growth. By adopting ScyllaDB, the company achieved a 60% reduction in costs, a 97% decrease in latency, and 90% storage savings. The new architecture allowed for faster processing of user data, leading to a more stable recommendation engine and better user experience. Additionally, the migration reduced code complexity, improved API performance, and resolved previous issues related to performance degradation and storage limitations. The strategic approach included optimizing algorithms, employing efficient data structures, and ensuring fault tolerance to process large data volumes effectively, thereby enhancing user engagement and satisfaction.