Optimizing database performance through efficient connection management

Gupta, Rishabh (2025) Optimizing database performance through efficient connection management. World Journal of Advanced Research and Reviews, 26 (1). pp. 821-828. ISSN 2581-9615

Database connection management emerges as a critical yet often overlooked optimization strategy for high-scale applications facing performance bottlenecks. By implementing specialized connection poolers like Mongobetween for MongoDB and PgBouncer for PostgreSQL, organizations can achieve substantial performance gains without modifying application logic or database schemas. These lightweight middleware solutions effectively address fundamental scaling challenges by maintaining a controlled set of persistent connections that are shared across multiple client requests. Connection poolers mitigate memory exhaustion, reduce CPU utilization, improve response times, increase throughput, and enhance stability during traffic spikes. The different operational modes offered by tools like PgBouncer provide flexibility to accommodate various application requirements, from maintaining session-level state dependencies to maximizing connection reuse efficiency. Proper implementation considerations, including comprehensive monitoring, optimal pool sizing, failover handling, and application compatibility testing, are essential for successful deployment. Both MongoDB and PostgreSQL environments benefit significantly from these solutions, enabling applications to maintain high performance as user counts and request volumes grow.