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.

30+
Database types
supported
400+
Conversion and
sync directions
Cloud
+ On-Premise
Database support
DBConvert for MySQL & PostgreSQL
Tables and mapping step: 15 of 17 tables included, the film table open with its columns and PostgreSQL types
Include or skip each table: film and film_category included, film_actor and film_text skipped Copying products: 5,163,609 of about 10 million rows written, 427,253 rows per second

Supported Databases

Choose your source, then pick a supported destination.

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

What’s new in 5.5.0

Large databases, less waiting

  • 2,000 tables checked in seconds
  • Trigger sync up to 5× faster
  • Several schemas in one job
Why migrations go wrong

Two relational engines rarely agree on the details. Data types, how metadata is stored, and the way each one handles SQL all differ - and that's where a move between them breaks.

Doing it by hand is slow and easy to get wrong. One mismatched type or dropped key, and the data on the other side no longer matches the source.

DBConvert handles the conversion and replication for you, keeping table structures and the relationships between tables intact. It can create the target database from scratch, build the tables and indexes, or load data into one that already exists.

Why DBConvert?

An AI can write a migration script in a minute, but it has never seen your data. DBConvert has been moving real customer databases since 2001 - the four things below are what that has taught it.

Migrate your data fast

Performance

DBConvert splits large tables into chunks and moves them in parallel, so a migration that would run for hours on a single thread finishes in a fraction of the time. The bigger the database, the more the parallel transfer pays off.

Transfer your data error free

Reliability

Before any data moves, DBConvert checks the source and target structures and the relationships between tables. It flags type mismatches and missing keys up front, so problems surface before the transfer starts instead of halfway through.

Convert views/ queries automatically

Automation

DBConvert translates SQL views and their queries into the target dialect for you, so you don't have to rewrite them by hand for each database. Supported on selected pairs - check the docs for the ones that apply to your migration.

Sync database accurately and fast

Sync

After the first migration, DBConvert keeps databases in sync using triggers or CDC, so only the changes move instead of the whole dataset. Sync can run one way or in both directions when you need each side to stay current.

Our Customers

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