New Benchmark: ScyllaDB 2.2 (i3.Metal x 4-nodes) vs Cassandra 3.11 (i3.4xlarge x 40-nodes)

The benchmark comparison between ScyllaDB 2.2 and Cassandra 3.11, conducted on AWS EC2, sought to evaluate the performance, cost-efficiency, and scalability of these two database systems under similar conditions. Using a workload of 38.85 billion partitions with a 50:50 read/write ratio, ScyllaDB demonstrated significant advantages over Cassandra, including a 10x reduction in administrative overhead and a 2.5x reduction in AWS EC2 costs. ScyllaDB's modern hardware utilization and linear scale-up capabilities allowed it to meet stringent latency requirements across various workloads, achieving up to 45x better 99.9th percentile latency compared to Cassandra. While Cassandra required extensive tuning to improve its performance, it still fell short in several areas, meeting the 99% latency SLA only in less demanding scenarios. The results highlighted ScyllaDB's superior ability to handle high-throughput demands with lower latency, making it a more cost-effective and efficient solution for large-scale data operations.