llm/302a36fb-79e1-4f4b-b047-e145d20e4497/topic-14-c752587c-bc95-4121-82d3-686740c30532-output.json
While SQLite offers architectural simplicity, its lack of built-in shared RAM caching often forces developers in write-heavy environments to implement manual, language-specific read caches to prevent database congestion. This creates a significant trade-off compared to PostgreSQL, which provides a shared cache out of the box that remains consistent across multiple processes and instances. Although some argue that caching is better handled at the CDN layer to reduce overall server load, others contend that database-level caching is indispensable for internal logic and processing statistics where user-facing traffic isn't the primary bottleneck. Ultimately, the discussion highlights how the choice between these strategies hinges on whether a project values the portability of a serverless database or the robust, integrated performance features of a dedicated database server.