Devs Benchmark Valkey Cache Against SQLite, Forget OS Was Doing the Heavy Lifting Already

A recent study tested the performance of using a NoSQL key-value database as a cache for data retrieval in comparison to a local SQLite3 database. The project, implemented using Python and Flask, created a REST JSON webservice with endpoints for shortening URLs and accessing original links. The results showed that the SQLite3 database responded quickly, even without the aid of a key-value cache, due to its own caching feature. In a local environment, the database responded in similar times with or without the use of Valkey, a Redis-like cache. The stress test, which consisted of 100 tasks and 30 concurrent threads, resulted in 8000 successful requests with a mean response time of 664.45ms. The study highlights the efficiency of SQLite3's caching feature, which can reduce the need for external caching solutions in certain applications. The findings have implications for database optimization and caching strategies in various industries, particularly in applications where data retrieval speed is critical.