Database / SQLite Interview questions
What are the limitations of SQLite for large-scale, high-concurrency applications?
SQLite's design choices that make it excellent for embedded, single-application use become real constraints once an application needs many independent processes hammering the same database with heavy concurrent writes.
- Single-writer limitation — only one write transaction can proceed at a time per database file, regardless of how many CPU cores are available.
- No built-in network access — there's no client-server protocol, so remote clients can't connect to it directly the way they would to MySQL/PostgreSQL over a network.
- No user/role-based access control — file-system permissions are the only access control SQLite itself provides.
- Limited horizontal scaling — there's no built-in replication or sharding across multiple database files/servers.
These aren't flaws so much as deliberate tradeoffs for its target use case — a genuinely multi-user, high-write-concurrency backend is exactly the scenario a client-server database like PostgreSQL was built for, and pushing SQLite into that role usually means fighting against its core design rather than working with it.
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