Back up SQL Server to Amazon S3 or Amazon Glacier

CloudBerry Backup for Amazon S3 Cloud is a powerful Windows program that automate backup and restore processes to Amazon S3 and Amazon Glacier cloud storage.
We are pleased to announced an availability of CloudBerry MS SQL Backup for Amazon S3. With this product the customers with no SQL Server administration experience can easily back up SQL Server databases to cloud storage. It comes with all of the features of CloudBerry Backup Server edition plus and additional functionality to back up SQL Server.
With CloudBerry Backup you can backup all databases or selected databases only, you can set up Full, Differential and Transaction log backup and schedule it to run periodically based on the pre-set templates or a customer schedule.
Run Backup SQL Server command from the toolbar.
Start the backup wizard.
Choose SQL Server instance and authentication type.
Choose the databases to back up
Specify the schedule
Select one of the predefined schedule based on provided templates
Or set up a custom schedule

On the Backup Storage tab you can see the SQL Server relevant information. If you expand the MSSQL Server instances node, you will see the list of instances and databases. On the right panel for each database you can see all the backups you have made with the product along with the backup data and size.

How to restore a database

Check out our blog post on how to restore a database from backup.
In the future if we see a demand we will automate SQL Server restore with CloudBerry Backup and you will be able to use a single one tool to do the backup and restore.

Pricing and licensing

CloudBerry MS SQL Backup for Amazon S3 costs $149,99 per server.
The customers using CloudBerry Enterprise Backup for Amazon S3 ($299,99) can get the SQL Server functionality for free. The newer version of the Enterprise Edition comes with SQL Server module.
As always we would be happy to hear your feedback and you are welcome to post a comment.
Note: this post applies to CloudBerry Backup for SQL Server 3.3 and later.
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