MS Access to MySQL Loader Short Description:
MS Access to MySQL Loader is a tool to convert data from Access to MySQL
MS Access to MySQL Loader Long Description:
MS Access to MySQL is a tool to Convert, Migrate data from/to MS Access Database to MySQL or from MySQL to MS Access Database. You can convert multiple tables in one go from MS Access to MySQL or from MySQL to MS Access database. While converting you can map source table columns to matching destination table columns. Filter rows by specifying WHERE conditions.
MS Access to MySQL Loader comes with a built in scheduler so that you can run transfer jobs at specified intervals. Now no need to run jobs repeatedly, just create a Session define the Schedule Date and Time and MS Access to MySQL Loader will automatically executes your session in the background and records the actions in a specified log file. You can later on check the log file for information.
Provides a command line interface also to run migration jobs manually so that it can be easily integrated with your own application.
All the sessions are stored in a repository. Our Loader provides a user friendly interface to manage repository. Such as taking backup and/or restore repository from a previous backup. You can also create a new blank repository in case you need it.
# Now you can create SQL Dump files
# Wizard based
# Map Source Columns to Target Table columns
# Save and Schedule of Sessions for recurring data transfers.
# No need to write any code
# Repository Database is introduced.
# Select single or multiple tables to transfer
# Select or Deselect Columns while transferring
# Change Destination Datatypes and widths
# Automatic Checking of Datatype mismatch
# Specify WHERE conditions to filter data
# Rated Best in the category by many websites
# Most Popular product in Database App. section in download.com
# Economical costs just $99 For Standard Version
# Fully functional Trial version with just 50 rows limit is available
# Transfer Millions of rows easily and fast. That's what our existing Customers are doing
# Supports Long , Picture Data types.