SQLite
MySQL

SQLite to MySQL Converter

Move data between SQLite files and MySQL or MariaDB in either direction. Schema conversion, type mapping, and optional two-way sync.

SQLite to MySQL conversion moves one embedded .db file into a server database.

The hard part is not copying rows; it is reconciling SQLite's flexible single-file conventions with MySQL's stricter relational model.

What DBConvert does on this path: handles the file-to-server move as a repeatable desktop workflow:

  • Opens the SQLite database file and lets you review object selection and type mapping.
  • Creates MySQL-compatible tables and transfers rows from the SQLite source.
  • Writes to MySQL, MariaDB, Percona Server, Amazon RDS / Aurora MySQL, Azure Database for MySQL, or Google Cloud SQL.

What it does not do: application code written around SQLite locking, pragmas, date storage conventions, or SQLite-specific SQL still needs review before the application points at MySQL.

Which tool: DBConvert or DBSync?

DBConvert for SQLite → MySQL

One-time conversion. Use it when MySQL is becoming the production database and you need schema, table data, indexes, and type mapping moved from a SQLite file.

DBSync for SQLite ↔ MySQL

Repeat synchronization. Use it when the SQLite file and MySQL database must keep exchanging changes during a staged rollout or desktop-to-server workflow.

Need more context? Compare DBConvert and DBSync side by side →

How DBConvert handles the SQLite → MySQL differences

SQLite is permissive; MySQL is stricter about schema and server behavior. DBConvert maps most of those differences in the wizard with sensible defaults that you can review or override per table; SQLite triggers and CHECK constraints are the items that still need a human review.

  • Dynamic typing. Inspects actual column values during read and proposes a strict MySQL target type in the type-mapping review — a SQLite column declared INTEGER that holds text in real rows is flagged so you pick VARCHAR instead of taking the declaration at face value.
  • Generated keys. Maps SQLite INTEGER PRIMARY KEY / AUTOINCREMENT (which is tied to ROWID) to MySQL AUTO_INCREMENT on the PK column, and reseeds above the loaded maximum key value — so the application's next insert does not collide.
  • Dates and booleans. Detects SQLite columns that store booleans as 0/1 integers or dates as ISO-8601 text and maps them to MySQL TINYINT(1) and DATETIME respectively — overridable per column when the source uses a non-standard date format.
  • Dialect differences. Rewrites SQLite double-quoted identifiers into backtick MySQL form on the target, generates MySQL-flavored DDL (replacing SQLite AUTOINCREMENT, pragmas, and transaction syntax), and creates target columns as utf8mb4 so Unicode round-trips safely.
  • Triggers, CHECK constraints, and other procedural code — outside DBConvert's scope. DBConvert's migration covers tables (with their fields, types, defaults, and indexes), views, and foreign keys. SQLite triggers, CHECK constraints, partial indexes, expression indexes, and WITHOUT ROWID table specifics stay in the source and are recreated manually in MySQL where the equivalent feature exists (MySQL 8.0+ supports CHECK constraints; partial indexes do not have a direct MySQL equivalent and need generated columns).

Why move from SQLite to MySQL?

Shared production database

SQLite is excellent for embedded apps, local caches, mobile apps, and small single-file deployments. MySQL is a better target when multiple application servers, remote users, permissions, and central backups become part of the requirement.

Managed MySQL target

The move is common when a prototype becomes a hosted application. MySQL-compatible targets include MariaDB, Percona Server, Amazon RDS / Aurora MySQL, Azure Database for MySQL, and Google Cloud SQL.

DBConvert vs CLI tools, Workbench, and online converters

Pick the route by whether you need a full database migration or just SQL text conversion.

Route Where it fits Where it falls short
CLI tools and manual scripts sqlite3-to-mysql, LOAD DATA, custom Python/Go Developers who want repeatable command-line control. Schema cleanup, type decisions, and validation stay on the team.
MySQL Workbench and general DB GUIs General-purpose GUI moves of SQLite data into MySQL. No dedicated SQLite/MySQL converter, no bidirectional sync, no saved desktop sessions reused across many pairs.
Manual .dump editing Small schema with simple column types. Fragile with dynamic values, generated keys, triggers, views, partial indexes, or date / boolean conventions.
Online SQL dialect converters A query or a small CREATE TABLE statement that needs dialect translation. Cannot read the source .db file, copy rows to a live MySQL server, validate counts, save settings, or run synchronization jobs.
DBConvert / DBSync commercial desktop, Windows Dedicated SQLite → MySQL workflow with saved sessions, type-mapping review, MySQL / MariaDB / Percona / cloud-MySQL targets, and bidirectional DBSync jobs. Commercial license; desktop tool (Windows).

Supported versions

  • SQLite 3.0 and later
  • MySQL 5.x, 8.x; MariaDB; Percona Server
  • Amazon RDS / Aurora MySQL, Azure Database for MySQL, Google Cloud SQL

Supported in this path

Source SQLite
Target MySQL
SQLite MySQL MariaDB Percona Server for MySQL Amazon RDS for MySQL Amazon Aurora MySQL Azure Database for MySQL Google Cloud SQL for MySQL
SQLite

All SQLite Tools

Other directions and pairs
MySQL

All MySQL Tools

Migration & sync options

Reverse Conversion

MySQL to SQLite

Using SQLite to MySQL Tools

When launching the DBConvert or DBSync application in GUI mode, it guides you through the steps to start database migration or synchronization:

1

Connect to SQLite source database

Specify the username/password and host/port parameters if your source database requires login credentials.

Connect to SQLite source database from DBConvert

SQLite source

Select the source .db file in the source step. DBConvert reads the tables from that file before you choose which objects to move.

2

Connect to MySQL destination database

Specify parameters for the destination database similar to the source, defining connection settings and username/password pairs.

Connect to MySQL target database from DBConvert

MySQL target

Use the MySQL connection guide for local MySQL, MariaDB / Percona, RDS / Aurora, Google Cloud SQL, or Azure Database for MySQL.

More guides for SQLite ↔ MySQL

Next steps: configure, validate, run

After connecting source and target, the remaining steps are the same for every database pair:

  • Configure migration options — pick tables, fields, indices, views.
  • Issue detection — the built-in checker flags integrity problems before migration starts.
  • Execute — commit the job, monitor progress, save the session for reuse.
  • Schedule and CLI — rerun saved sessions on a schedule or from the command line.
Open the full guide

Steps 3–5, software features, command-line mode, scheduler, and system requirements.

See all features