PostgreSQL vs MySQL for High-Volume Kenyan FinTech Apps: SSD Tuning, WAL Logs & Buffer Cache

Handling Thousands of Concurrent M-Pesa Callbacks

When high-volume Kenyan fintech platforms process thousands of concurrent M-Pesa STK push and C2B transaction callbacks, un-tuned databases freeze under lock contention and disk I/O bottlenecks. PostgreSQL’s Multi-Version Concurrency Control (MVCC) and advanced partial indexing make it the preferred engine for complex ledger transactions, while MySQL/InnoDB excels at high-throughput simple key-value reads.

Crucial SSD Tuning Parameters for PostgreSQL

• shared_buffers = 25% of total system RAM
• random_page_cost = 1.1 (Tells query planner that random NVMe SSD seeks are virtually instantaneous compared to spinning rust).
• wal_buffers = 16MB (Prevents write stalls during burst transaction spikes).