Database Conversion and Synchronization software

Migration between different database engines that rebuilds schema, indexes, and foreign keys on the target - with the type mapping reviewed before anything runs.

Tables and mapping step: 15 of 17 tables included, the film table open with its columns and PostgreSQL types

Supported Databases

Choose your source, then pick a supported destination.

Every database works with DBConvert desktop apps, except those marked Streams only.

Streams Also available in DBConvert Streams

On-premise7

Cloud-native17

File-based9

DBConvert Products

Three products, one line: one pair, every direction, or continuous replication

DBConvert

Desktop app that migrates and synchronizes one database pair

Convert + sync

Best for

One-time conversion or recurring sync, chosen at the start
Views rewritten for the target dialect, type mapping reviewed up front
Trigger-based sync on a schedule

Use DBConvert

DBConvert Studio

Every supported direction in one application

All engines, one app

Best for

30+ engines without a tool per pair
The same conversion and trigger-based sync
Saved, repeatable jobs across directions

Open Studio

DBConvert Streams 2.0

Real-time CDC with a database IDE built in

Supports MySQL & PostgreSQL

Best for

Continuous replication (CDC)
Minimal-downtime cut-over: initial load, then CDC
Databases, files, and S3 in one tool

Check Streams

See a migration in action

Watch a real MySQL to PostgreSQL run, from setup and table mapping through execution.

Recorded in DBConvert 5.5.0. Playback is shown at the original speed.

What’s new in 5.8.0

November 8, 2026

The new DBConvert Studio, and Verify after the run

New DBConvert Studio: every database, any direction
Verify after the run
Fixes for FoxPro, Excel, Oracle, Firebird

Read the release notes

Why DBConvert?

Review the mapping, move the data and check the result.

Review your tables before the transfer

Choose which tables to move, inspect their columns and review how source types map to the destination.

Explore table and field options

DBConvert showing selected tables and column type mappings for SQLite to MySQL — Table selection and column mapping in DBConvert

Table selection and column mapping in DBConvert

Verify the copy after the run

Check the destination schema and totals, or compare copied rows to find changed values. The result shows which tables and columns differ.

For row-by-row comparison, enable Verify after the run before starting the copy.

How verification works

Successful MySQL to PostgreSQL conversion and verification: schema, totals and rows match — Verification result: schema, totals and rows match.

Verification result: schema, totals and rows match.

Move large tables in parallel

Large tables are split across worker threads. In one run on our test stand, Oracle to MySQL used 16 threads. Results depend on the data and systems.

How parallel transfers work

10 millionrows transferred in 32 secondsOracle → MySQL · one test run

Keep the destination up to date

Track changes with triggers and apply them in later runs, manually or on a schedule. In one test, a PostgreSQL to MySQL sync with 10 million unchanged rows took 23 seconds.

How synchronization works