Grab App at Scale with ScyllaDB

At the ScyllaDB Summit 2021, Grab's engineering team members, Chao Wang and Arun Sandu, highlighted how the company leverages ScyllaDB to efficiently manage its large-scale operations across Southeast Asia, which include services like ride-hailing, payments, and food delivery. Chao Wang, focused on Grab's Trust team, detailed the use of a real-time fraud detection system, which employs counters and real-time data processing to maintain user trust and safety. The system's challenges include scalability, manageability, and extensibility, which are addressed through innovations in counter data storage and processing workflows using ScyllaDB and Apache Kafka. Arun Sandu discussed additional applications of ScyllaDB in Grab's operations, such as ad frequency capping and time series data processing, emphasizing the role of ScyllaDB in improving performance metrics and reducing costs. The presentation concluded with examples of optimizations made to manage large data partitions and reduce latency, as well as cost-saving measures through strategic data management practices, which have significantly enhanced Grab's operational efficiency.