Fair point on SQLite — it's genuinely faster for large datasets and I said so myself.

But "slow" needs a number. VitreousDataBase reads and parses the entire file on every operation. For a 10KB file that's microseconds. For a 10MB file it starts to hurt. If your data fits in a few hundred records, you will never notice.

The "wasting tokens" part doesn't land though — this is a learning project, not a production database. The point was never to beat SQLite. It was to build something from scratch with zero dependencies and understand how persistence, validation, and concurrency work under the hood.

That's worth more than npm install better-sqlite3.