Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Vol 24 No 2 (2026): Mei 2026

A Comparative Analysis of Resource Utilization Efficiency and I/O Performance in MySQL and PostgreSQL Running in Docker Containers

Indah Dwi Putri (Program Studi Informatika, Universitas AKPRIND Indonesia)
Maria Yuliana Erni Artika (Program Studi Informatika, Universitas AKPRIND Indonesia)
Rosalia Ningsi Feu Uskenat (Program Studi Informatika, Universitas AKPRIND Indonesia)
Edhy Sutanta (Program Studi Informatika, Universitas AKPRIND Indonesia)
Suparyanto (Program Studi Informatika, STMIK El-Rahma)



Article Info

Publish Date
03 Jun 2026

Abstract

The exponential growth of data demands highly efficient relational database management systems (RDBMS). This study evaluates resource utilization and input/output (I/O) performance differences between MySQL 8.0 and PostgreSQL 15 within a Docker container. A quantitative experiment was conducted using a constrained environment of 2 CPU cores and 2 GB RAM, utilizing a normalized sales schema with 100,000 records. Three query scenarios—a complex four-table join, an aggregation, and a single-table range filter—were each executed 30 times under cold and warm-start conditions, reporting statistical means, medians, standard deviations, and 95% confidence intervals. Memory was tracked via container-level resident memory (RSS) and engine-specific buffers (InnoDB buffer pool and PostgreSQL's shared_buffers), while I/O utilized precise before-after deltas. Under warm-start complex joins, PostgreSQL 15 averaged 0.0234 seconds compared to MySQL 8.0’s 0.0442 seconds. PostgreSQL maintained a significantly lower container RSS (~54 MiB versus MySQL’s ~533 MiB), though engine-specific buffer utilization remained closer (~27 MiB versus ~41 MiB). This indicates MySQL’s default settings over-allocate container memory. Ultimately, PostgreSQL 15 demonstrates superior execution speed and resource efficiency for complex queries in limited-resource Docker environments under the default configurations tested here.

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Journal Info

Abbrev

fahma

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering

Description

Jurnal FAHMA adalah jurnal yang memuat naskah ilmiah dari peneliti, akademisi, maupun praktisi, berupa hasil penelitian, tinjauan pustaka ( literature review ) dan/atau bentuk karya tulis ilmiah lainnya, yang khusus mengkaji bidang Ilmu Komputer antara lain sebagai berikut : Kecerdasan Buatan, ...