sql azurems access

SQL Azure to MS Access Migration and Sync

Our solution helps to migrate and synchronize your existing data from SQL Azure to Access format. All your SQL Azure cloud tables, fields and indexes will be easily transformed to MS Access database. 

Effective and safe data transformation in opposite way is also supported. 

Stable conversion speed makes possible to convert and synchronize large databases approximately in 30-40 min.


Why convert / synchronize data from SQL Azure to Access database?

  • You need to synchronize SQL Azure database with a lot of MS Access databases located on clients’ machines.
  • You don’t want to pay the additional fee for SQL Azure keeping.
  • The good old days. You always use the MS Access for all your projects.

Besides, our built-in scheduler lets you to lunch all conversion and synchronization sessions automatically, without any intervention on your part.

Trial versions limitations

Product highlights

Requirements

  • Access 2000 or higher
  • Microsoft Visual C++ 2008 x86 Redistributable package
SQL Azure MS Access

Converter from
SQL Azure to MS Access

  • 6 Mar, 2013
  • Version 5.0.4
ORDER From $149 DOWNLOAD 45.51 Mb

Synchronizer between
SQL Azure and MS Access

  • 10 Sep, 2013
  • Version 4.0.3
ORDER From $149 DOWNLOAD 44.17 Mb

Two-way database migration in one package. Pay once - get both! Find more information about the reverse migration

From MS Access to SQL Azure

Converter+Syncronizer Bundle! Take 25% off regular price

New Features

  • Queries conversion improvements. Now MS Access queries are converted more productively.
  • Parameterized queries are added. Conversion and synchronization speed increased by 15%.

Screenshots

SQL Azure to MS Access: Benefits

  • 1 - Workaround for firewalls and access rights
  • 2 - Views conversion
  • 3 - Flexible customization for all db elements
  • 4 - Bulk and quantization for speed up of big volume of data processing
  • 5 - Conditional data migration
  • 6 - Full UNICODE architecture support
  • 7 - Optimal data mapping
  • 8 - Verification of potential migration issues
  • 9 - Command line mode & scheduling
  • 10 - Savable sessions