Helpshift Shares Its ScyllaDB Success Story

Helpshift, a digital customer service platform, transitioned to a sharded database model to accommodate its rapid growth and evolving user profile requirements, ultimately selecting ScyllaDB for its high throughput and scalability. This decision was driven by the need to decouple user identity from devices and to facilitate proactive support, which necessitated a more robust database capable of managing an expected 150+ million users and 30K requests per second. After evaluating various databases like Cassandra and Google Cloud Spanner, ScyllaDB was chosen for its ability to handle complex queries, ease of scaling, and superior performance metrics. Helpshift successfully benchmarked ScyllaDB with a cluster of 10 nodes, achieving 32,000 user reads per second and a 114 ms average latency, which later scaled to 73K user reads per second with a 13 ms latency as the platform continued to grow. The seamless integration and scalability of ScyllaDB have proven instrumental in supporting Helpshift's expanding operations, allowing the company to manage increased demands without bottlenecking its backend systems.