SQLite vs MySQL

Choosing between an application database file and a shared database service starts with where your code and data live.

Compare the work you need to do

A practical scenario

A personal inventory app used on one device can keep a SQLite file beside its application data. A hosted inventory service with many independent users updating shared stock may be easier to operate on MySQL. Count simultaneous write transactions, not just registered users.

Find a starting point

This short chooser suggests what to evaluate. It does not replace a benchmark or architecture review.

Before you choose

• Measure your actual write contention before migrating.
• Inventory date, boolean and mixed-type columns.
• Decide the target collation and test case-sensitive comparisons.
• Recreate indexes and test transaction behavior with concurrent clients.

Test the query, then the whole application

Start with a familiar aggregation. Add representative indexes and realistic row counts. A fast single query does not measure concurrent writes, backups, deployment cost or operational recovery.

SELECT customer_id, COUNT(*) AS order_count
FROM orders
GROUP BY customer_id
ORDER BY order_count DESC;

The SQLite Lab workspace runs SQLite only. To compare engines, execute equivalent workloads in their native environments.

Generate a MySQL migration draft and review the unsupported-feature report before testing it.

Further reading: SQLite appropriate uses and MySQL official documentation.