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Description

Safeguarding against potential mishaps is crucial, whether it's due to data center fires, erroneous database queries, or cyber attacks from malicious individuals. We understand that mistakes can occur, such as unintentional dropped queries, and that's why we offer a solution that allows you to reverse these errors and restore your database in just two minutes. You can concentrate on developing your software while we take care of your data management through automated backups. The setup is quick and straightforward, requiring only the copy and paste of a command-line installation that takes less than two minutes to complete. You can customize the frequency of your backups to be hourly, daily, weekly, or monthly, with all data securely stored in the cloud. Say goodbye to the anxiety of data loss, as our one-click recovery process enables you to retrieve backups from the database server effortlessly. Additionally, you have the option to integrate your own storage solutions, such as Amazon S3, Dropbox, or Google Drive, for backup file storage, or you can opt to use our database servers for a nominal fee, ensuring your data is always secure and accessible. With our service, you can rest easy knowing that your data is protected and recoverable at a moment's notice.

Description

There is no need to configure anything. All you need to do to automate backups is to select databases, backup full, diff, and tran log, encrypt, compress, and send to a folder via FTP or the cloud. SQLBackupAndFTP is software that backs up SQL Server, MySQL, PostgreSQL Server databases. It also performs regular full, differential and transaction log backups. SQLBackupAndFTP can be used for any SQL Server, MySQL or PostgreSQL, Azure SQL or Amazon RDS SQL database. Backups can be sent to FTP or SFTP, NAS or local folder, Google Drive or Dropbox, OneDrive or Box, Amazon S3 (and all S3-Compatible storage), Azure Storage and Backblaze B2, Yandex.Disk. It is particularly useful for all SQL Server versions, including Azure SQL or Amazon RDS SQL.