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Description

Maintaining an industrial-strength database involves much more than simply executing "apt-get install postgres." It necessitates a robust infrastructure for ongoing backups, rigorous testing, constant monitoring, routine maintenance, and timely security updates. Without dedicated oversight on a daily basis, crucial details may be overlooked, leading to potential data loss and negative impacts on your business operations. Our extensive experience since 1997 equips us with the knowledge to navigate these challenges effectively. By leveraging our expertise, you can concentrate on what you excel at — managing your business effectively. Your database should operate seamlessly in the background, ready to provide and manage your data globally when required. With our Postgres as a service, we handle all the operational responsibilities associated with your database, allowing you to devote your efforts to your primary business objectives. Our operational team monitors your database around the clock, ensuring that any issues are promptly addressed. Additionally, your data remains secure with continuous offsite backups that can be restored at any moment, providing peace of mind and reliability. In this way, your business can thrive without the constant worry of database management.

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.