{"ID":2858487,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.08863","arxiv_id":"2510.08863","title":"Comparative Performance Analysis of Modern NoSQL Data Technologies: Redis, Aerospike, and Dragonfly","abstract":"The rise of distributed applications and cloud computing has created a demand for scalable, high-performance key-value storage systems. This paper presents a performance evaluation of three prominent NoSQL key-value stores: Redis, Aerospike, and Dragonfly, using the Yahoo! Cloud Serving Benchmark (YCSB) framework. We conducted extensive experiments across three distinct workload patterns (read-heavy, write-heavy), and balanced while systematically varying client concurrency from 1 to 32 clients. Our evaluation methodology captures both latency, throughput, and memory characteristics under realistic operational conditions, providing insights into the performance trade-offs and scalability behaviour of each system","short_abstract":"The rise of distributed applications and cloud computing has created a demand for scalable, high-performance key-value storage systems. This paper presents a performance evaluation of three prominent NoSQL key-value stores: Redis, Aerospike, and Dragonfly, using the Yahoo! Cloud Serving Benchmark (YCSB) framework. We c...","url_abs":"https://arxiv.org/abs/2510.08863","url_pdf":"https://arxiv.org/pdf/2510.08863v1","authors":"[\"Deep Bodra\",\"Sushil Khairnar\"]","published":"2025-10-09T23:33:51Z","proceeding":"cs.DB","tasks":"[\"cs.DB\",\"cs.DC\"]","methods":"[]","has_code":false}