⚡ Database & CachingUpdated: September 2, 2026
Relational Database Scaling: MySQL 8.4 vs. MariaDB 11 vs. PostgreSQL 17
Reviewed by Cloud Infrastructure & Hosting Architecture Editorial Board
Executive Summary
Database engine benchmarks: InnoDB buffer pool optimization, Aria storage engine, MVCC concurrency, and JSON indexing for high-throughput applications.
Relational database performance dictates web application scalability. Optimizing buffer pools, write-ahead logging (WAL), and query execution plans is essential for sub-50ms page renders.
1. Core Architectural Differences
| Database Engine | Primary Storage Engine | Optimal Workload Profile | Key Strength |
|---|
| MySQL 8.4 LTS | InnoDB | High-concurrency web read/writes | Broadest CMS compatibility, robust thread pooling |
| MariaDB 11.4 | InnoDB / Aria / ColumnStore | Drop-in MySQL replacement | Advanced optimizer, faster subqueries |
| PostgreSQL 17 | Heap Tables with MVCC | Complex analytical queries, GIS, JSON | True ACID compliance, advanced indexing (GIN, BRIN) |
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Cloud Infrastructure & Hosting Architecture Editorial Board
Our systems engineers conduct reproducible bare-metal, KVM, and cloud benchmarks across storage I/O, TTFB response latency, and database query throughput.
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