After a chat with a startup founder, I ask: why rely on complex databases when you can simply use JSON files with caching, unique keys, and indexing? Are we not reinventing a database?
hey, i get the appeal but file storage gets messy with multiple write ops and scaling. using a proper db gives that built in safety around concurrent accsess and recovery. for bigger projects, it might be worth the extra setup even if feels like reinventing stuff.
Based on my experience, using file storage with JSON can be a suitable solution for smaller projects or prototypes. Yet, when the application starts to scale or requires robust support for concurrent operations, complications are likely to arise. As the read and write operations increase, maintaining data consistency becomes challenging without the transactional support that traditional databases provide. While file storage offers simplicity initially, the complexities of indexing and ensuring data reliability often lead projects to eventually transition to more conventional database systems.
hey folks, i’ve been tinkering with file storages and noticed indexing weirdness when scaling. has anyone else ran into such hiccups? i’d love to hear your workaround or thoughts on when to just switch to a true db instead. what do ya reckon?
hey, i like prototyping with file storage but once more users hit and concurrent acsses pile up, it gets messy. caching can help, but scaling really begs for a legit db. keep an eye out for surprise issues!
hey all, i think file storage works ok for tiny apps but could strugle with scaling. how do you handle concurent device locks? does switching to a db sometimes tickle your curiosity to use the pre-built features even if its kinda reinventing the wheel?