PostgreSQL vs MySQL: How Architecture and Workload Shape the Right Choice

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Choosing between PostgreSQL and MySQL for high-traffic applications requires analyzing workload mechanics rather than relying on feature checklists or historical preference. Key factors include read-to-write ratios, transaction complexity, query patterns, data relationships, and concurrency and latency requirements. PostgreSQL uses a multi-process architecture with one server process per client connection, offering strong memory isolation through shared buffers, write-ahead logging, and heap-based MVCC. Its background processes — including autovacuum, checkpointer, and WAL writer — handle durability and storage maintenance under heavy production loads. Engineers are advised to decompose their specific workload profile before selecting a storage engine, as internal mechanics like write amplification and lock contention ultimately determine system stability.

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ProgrammingDEV Community ·

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ProgrammingHacker News ·

Study argues LLMs use cold-reading tricks similar to psychic cons

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