Traditional database benchmarks often stop at measuring throughput and latency. While those metrics quantify raw speed, they fail to capture how systems behave when the environment changes, e.g., when nodes fail, workloads spike, or capacity must grow. In production, these behaviour in these moments is just as important as steady-state performance. This article discusses how the benchANT benchmarking framework handles such cases, and presents results of a case study which evaluate Aerospike and

PostgreSQL is available as a managed service from nearly every cloud provider, but performance and cost can differ significantly under the hood. In this independent study, we benchmark OVHcloud’s PostgreSQL DBaaS against AWS RDS PostgreSQL, Azure Flexible PostgreSQL, and DigitalOcean PostgreSQL using OLTP workloads and a strict price-performance methodology. We compared throughput, latency, and efficiency on equivalent instance types to provide an objective view of how these services perform.

Curious about how general-purpose databases stack up against native vector databases in search performance? Our latest benchmark study pits SingleStore Helios against Pinecone and Zilliz using the established VectorDBBench suite. With 10 million 768-dimensional vectors as the battleground, we provide technical insights into how a general-purpose database like SingleStore performans against this specialized database domainn.