Introducing CloudBerry Backup for Microsoft SQL Server

Back up MS SQL Server Databases to Amazon S3, Glacier or Windows Azure

Newport Beach, California, March 07, 2013 -- CloudBerry Lab, a provider of backup and management solutions for public cloud storage services announces the immediate release of CloudBerry Backup for MS SQL Server that automates the procedure of SQL Server databases backup to more than 15 supported cloud storage platforms.

The new edition of CloudBerry Backup leverages native SQL Server backup routines to perform database backup and then moves it directly to one of the public cloud storage services including: Amazon S3, Amazon Glacier, Windows Azure, HP Cloud, Rackspace and OpenStack.

With CloudBerry Backup for MS SQL Server the users are able to choose what databases to back up and whether to use full, differential or transaction log backup. Each of the backup options can be set with different schedule, by configuring a custom schedule or using a template. The functionality is easy to use and does not require MS SQL Server administration knowledge to perform database backup.


CloudBerry Backup for MS SQL Server is already available and costs $149.99 for a single license. For more information and to download the evaluation copy, please visit our website at:

About CloudBerry Backup:

CloudBerry Backup is a powerful cloud backup and recovery software designed to automate encrypted and compressed data backup to one of o ver 15 most popular public cloud storage services and to make any disaster recovery plan simple, reliable, and affordable.

About CloudBerry Lab:

CloudBerry Lab was established in 2008 by a group of experienced IT professionals with the mission to help organizations in adopting cloud computing technologies by closing the gap between cloud vendor propositions and consumer needs through development of innovative low-costs solutions. CloudBerry Lab is an Amazon Web Services Advanced Technology Partner.

For more information please contact:
Alexander Negrash,
Marketing Manager at CloudBerry Lab