Benchmarking MongoDB vs ScyllaDB: Performance, Scalability & Cost

The benchmarking study conducted by BenchANT compares the performance, scalability, and cost-effectiveness of MongoDB Atlas and ScyllaDB Cloud, two prominent NoSQL databases, under various workloads. ScyllaDB demonstrated superior performance, outshining MongoDB in 132 of 133 measurements, with up to 20 times higher throughput and significantly lower latencies, particularly for update operations. This study used the DBaaS offerings of each vendor to ensure a fair comparison across different workloads, including social, caching, and sensor applications, with data set sizes ranging from 250GB to 10TB. ScyllaDB's distributed architecture provided nearly linear scalability and a better price-performance ratio, up to 19 times more cost-effective than MongoDB, depending on the workload and data size. The results validate ScyllaDB's efficiency for high-performance applications requiring predictable low-latency operations, although future studies are needed to assess performance with advanced data models or complex operations.