DBConvert Studio

One application for database copy, synchronization, and distribution across desktop, on-premise, and cloud systems.

Download 120.8 MB Full step-by-step guide
DBConvert Studio interface
Desktop app Desktop to cloud Reusable jobs
30+
Database types
Copy + Sync
One product workflow
Multi-core
Parallel execution

One tool instead of one per database pair

Teams working across several database engines usually end up juggling a separate utility or script for each source-to-target pair. DBConvert Studio handles 30+ database types in a single desktop application.

It also combines conversion and synchronization in one product, so a one-time migration and an ongoing sync job use the same connections and workflow rather than two different tools.

Copy

Move structure and data from one database to another with a straightforward source-to-target flow.

Sync

Run one-way or bidirectional synchronization to keep multiple nodes aligned.

Distribute

Push one source dataset to multiple destinations when the job requires fan-out delivery.

Connect local files, servers, or cloud databases

Each side of a job can be a local database file, a server on your network, or a cloud-managed instance. The same workflow handles all four - the host OS is irrelevant as long as the database is reachable.

DBConvert Studio logo

DBConvert Studio

Windows desktop app

Version
4.3.1
Released
May 25, 2026
From
US$ 599
Download 120.8 MB

Supported OS

  • Windows 11/10/8/7
  • Linux via WINE
  • macOS via WINE

Requirements

Parallel migration

DBConvert Studio uses a parallel engine to make better use of modern CPUs when copying large datasets and structures.

Supported as source

  • Oracle
  • SQL Server
  • MySQL
  • PostgreSQL
  • Firebird
  • Interbase
  • SQLite

Target limitations

Parallel migration is available for all target types except MS Access, MS FoxPro, and SQLite.

MS Access MS FoxPro SQLite
Real-world throughput

Actual throughput still depends on the target database, network, and storage. DBConvert Studio adapts its transfer strategy to the environment, but some targets will always be slower than server-class systems.

30+ databases. One workspace.

From local file formats to cloud-managed engines - connect any combination as source and target in a single application.

Server engines · 9
SQL Server
MySQL
Oracle
PostgreSQL
MariaDB
Percona
IBM DB2
Firebird
InterBase
Cloud-managed & distributed · 17
Azure SQL
Amazon RDS
Amazon Aurora
Google Cloud
Heroku
Neon
Supabase
DigitalOcean
EDB Postgres
CockroachDB
YugabyteDB
Citus
Greenplum
SingleStore
TiDB
Vitess
SkySQL
Files & desktop formats · 5
MS Access
FoxPro
SQLite
dBase / xBase
MS Excel

Four steps from connections to a finished job

The default workflow gets a copy or synchronization job running without deep configuration; object selection, type mapping, filters, threads, and scheduling are available when a job needs them.

1

Add connections

Add the source and destination databases with their server, port, and credentials, then test and save them.

2

Pick type and endpoints

Choose Copy, Sync, or Distribution, connect both sides, and select the objects and target database.

3

Configure (optional)

Adjust type mapping, views, parallel threads, data filters, and sync triggers only when the job requires it.

4

Run and review

Commit the job, watch progress, and review the activity log. Saved jobs can be scheduled to re-run.

DBConvert Studio - choose migration type
Full step-by-step guide Explore more features

Start your migration with DBConvert Studio

Try the free 30-day trial, or buy a license to keep using it.

Download 120.8 MB