Case Study: Grab Hails ScyllaDB for Performance and Ease of Use

Grab, a leading mobile platform in Southeast Asia, faced performance challenges handling over 6 million daily rides, which required near-real-time data processing to avoid significant financial losses. The company initially used Redis to aggregate data from Apache Kafka streams but encountered CPU spikes and scalability issues, prompting a switch to ScyllaDB. After extensive testing, ScyllaDB proved to be more cost-effective, easier to manage, and comparable in performance to Redis, especially in handling write-heavy operations without hot partition issues. The implementation of ScyllaDB allowed Grab to efficiently manage peak loads with a smaller cluster configuration, significantly reducing operational costs compared to other solutions like Apache Cassandra. Encouraged by these results, Grab plans to expand its use of ScyllaDB for additional applications such as statistics tracking and time series databases, with the support of ScyllaDB's responsive support team enhancing their confidence in the platform.