Grab is one of the most frequently used mobile platforms in Southeast Asia, providing the everyday services that matter most to consumers. Its users' commute, eat, arrange shopping deliveries, and pay with one e-wallet. Grab relies on the combination of Apache Kafka and ScyllaDB for a very critical use case -- instantaneously detecting fraudulent transactions that might occur across approximately more than six million on-demand rides per day taking place in eight countries across Southeast Asia. Doing this successfully requires many things to happen in near-real-time.

Watch this webinar for this fascinating real-time big data use case, and learn the steps Grab took to optimize their fraud detection systems using the ScyllaDB NoSQL database along with Apache Kafka.

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