Oracle to Microsoft Access
Conversion & Sync.

 DBConvert for Oracle & Access

Version: 1.1.9

Release Date: Nov. 4, 2019

Conversion directions:

  • Access → Oracle, Oracle Dump
  • Oracle → MS Access
  • Oracle → Oracle Dump
  • Access ↔ Amazon RDS
 DBSync for Oracle & Access

Version: 1.2.0

Release Date: Feb. 19, 2018

Synchronization directions:

  • Access ↔ Oracle
  • Access ↔ Amazon RDS

Use our powerful database migration tools to convert and synchronize data from Oracle to Access files effortlessly and reliably!

Microsoft Access is really intended for small, standalone databases. On the contrary, Oracle is an enterprise database solution for large volumes of data. But there may still be situations when you need to move or synchronize data from Oracle to MS Access. For example, calculations are made in Oracle and you need to provide some data to your clients with MS Access. You might also want to upload a changed dataset to Oracle or sync Access data with Oracle server on the fly.

Our software has a familiar tree-view representation of your target databases and many useful settings to customize your databases.

Different types of synchronization are also available for keeping your databases up-to-date.

Synchronization and conversion processes can be scheduled and launched automatically to execute migration jobs. Scheduler works as a service, so you don’t need to start the application manually every time.

Look at this Oracle related FAQ section to resolve Oracle errors you may find.  Amazon RDS configuration manual for DBConvert.

Product Highlights

Product Requirements

  • Oracle 12.x versions require Oracle Database 12c Release 2 Client ( for Microsoft Windows (32-bit) to be installed:
  • Necessary privileges to write into database on the target Oracle server (this requirement is optional as there is an option to overcome the restrictions using dump file)
  • Access 2000 or higher. Both Access 32/64 versions are supported
  • Microsoft Visual C++ 2008 x86 Redistributable package

Latest News

  • Customizable data filtering
  • Datatype mapping feature added