Microsoft Access to MySQL Migration.

 DBConvert for Access & MySQL

Version: 8.3.7

Release Date: Feb. 20, 2019

Conversion directions:

  • Access → MySQL, MariaDB, Percona, MySQL Dump, PHP Script
  • MySQL, MariaDB, Percona → MS Access
  • Queries from Access → MySQL, MariaDB, Percona views migration
  • Access ↔ Amazon RDS | Aurora
  • Access ↔ Google Cloud
  • Access ↔ Azure Database for MySQL
 DBSync for Access & MySQL

Version: 6.8.3

Release Date: March 27, 2019

Synchronization directions:

  • Access ↔ MySQL, MariaDB, Percona
  • MySQL ↔ MariaDB ↔ Percona ↔ Amazon RDS | Aurora
  • Access ↔ Amazon RDS | Aurora
  • Access ↔ Google Cloud
  • Access ↔ Azure Database for MySQL

DBConvert/DBSync for Access and MySQL are two-way cross database migration and synchronization solutions for data conversion between Microsoft Access 32/64 to MySQL/MariaDB or Percona databases.

Our DBConvert software converts queries from Microsoft Access to MySQL/MariaDB/Percona views automatically.

Our improved conversion engine can move 500,000 records in under 5 minutes.

In the scenario where your hosting provider restricts your direct access to your MySQL database you can save data into a dump file or even auto-generate a PHP script to overcome the restrictions.

DBSync for Access and MySQL accomplishes data transfer between Access and MySQL (import and export) with synchronizations that keep your Access and MySQL databases coherent and up-to-date.

Product Highlights

Product Requirements

  • Access 2000 or higher. Both Access 32/64 versions are supported
  • Microsoft Visual C++ 2008 x86 Redistributable package
  • Necessary privileges to write into database on the target MySQL server (this requirement is optional as there is an option to overcome the restrictions using dump file or PHP Script)

Latest News

  • Access 64bit support.
  • Queries conversion improvements.
    Now MS Access queries are converted more productively.
  • Stable conversion and synchronization speed improvements.
    Now large databases are transfered approximately in 100 times faster. 500 thousand records can be converted/synchronized in 3-5 min.