When your application's design changes, you may need to store a slightly different type of data. Relational databases traditionally require explicit schema changes for this, whereas NoSQL databases allow more flexible, schema-less data. SQLite sits somewhere in between: it remains a relational database, but its dynamic typing allows you to store different types of values in a column without immediately migrating data to a new table.
This flexibility is convenient when only one application reads and writes to the table. But if multiple applications access the same tables, the lack of a strictly enforced schema becomes a liability. The same is true when using generic tools to process data in SQLite tables, because such tools don't know what type of data to expect. The column type may be X but the actual data may be of type Y.
This flexibility is convenient when only one application reads and writes to the table. But if multiple applications access the same tables, the lack of a strictly enforced schema becomes a liability. The same is true when using generic tools to process data in SQLite tables, because such tools don't know what type of data to expect. The column type may be X but the actual data may be of type Y.