SQLite, traditionally seen as a lightweight and local storage solution, is gaining traction for production-scale deployments, with frameworks like Laravel adopting it as the default database type. As its use expands, cloud services such as Turso and SQLiteCloud have emerged, offering SQLite-based solutions optimized for global and edge computing contexts. To evaluate the performance of these options, a Star Trek-themed Node.js application called SQLite Trek Series Searcher was developed, employing feature flags and the DevCycle platform for real-time experimentation. The experiment involves comparing the query response times of three database setups: local SQLite, Turso, and SQLiteCloud. DevCycle's feature flags enable dynamic user segmentation and real-time data collection, facilitating performance analysis to determine the fastest and most reliable configuration. This approach highlights the significance of live experimentation and feature flags in understanding application performance in diverse real-world conditions.