Year: 2025
Type: article
Abstract: Cassandra DB requires continuous performance benchmarking to ensure optimal hardware utilization and system efficiency. This article presents critical aspects of an effective benchmarking strategy, beginning with query pattern identification and advancing through stress testing methodologies. NoSQL Bench emerges as a pivotal tool for simulating production-equivalent workloads while maintaining data privacy compliance. The discussion highlights the importance of replicating authentic usage patterns rather than relying on synthetic workloads alone. By collecting comprehensive performance metrics across multiple system dimensions, organizations can develop accurate performance profiles that inform infrastructure decisions. The benchmarking techniques outlined provide practical guidance for database administrators seeking to optimize Cassandra deployments for scalability, reliability, and cost-effectiveness across diverse operational scenarios.
Author: Muthuselvam Chandramohan
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410620378