Dragonfly Swarm has demonstrated remarkable scalability and performance in handling massive in-memory workloads, as evidenced by a benchmark test where a 2TB Dragonfly Swarm cluster achieved over 10 million requests per second (RPS) and nearly 20 million RPS with pipelining. This cloud-based data store leverages a multi-threaded architecture to offer both vertical and horizontal scaling, simplifying operations compared to clustered Redis or Valkey deployments. The benchmark utilized powerful AWS instances and the memtier_benchmark tool to ensure client-side capability, revealing extremely low latencies even under extreme loads. Dragonfly Cloud's scalability comes without the operational complexities typically associated with horizontal sharding, allowing users to easily provision large data stores through a console. Additionally, Dragonfly offers a cost-effective solution with significant performance-per-dollar value compared to competing platforms, supporting up to 15TB data stores or more for enterprise needs. This positions Dragonfly Swarm as a modern solution for high-performance data infrastructure, capable of supporting demanding applications with minimal operational overhead.