SqlBak automates database backups and provides a web service for managing backups across multiple servers. It lists support for SQL Server, PostgreSQL, MySQL, Azure SQL, Amazon RDS for SQL Server and MongoDB. Destinations include cloud storage services, FTP, SSH and local or network folders. For SQL Server, listed features include point-in-time recovery, full, differential and transaction-log backups, automatic verification, compression, health monitoring and one-click restore. The app runs as a background service on Windows or Linux servers; the download page also describes Docker and Raspberry Pi installation. SqlBak says backups are encrypted and sent directly from the server to the user's storage, while database credentials are encrypted and stored on the server. The Free plan is 0.00 USD per free for one server, two databases and one month of history. Standard is $6.00 USD per month per server and Professional is $9.00 USD per month per server. A 30-day trial of Professional features does not require a credit card to start.
Who it is for
SqlBak suits teams that need scheduled backups and centralized management across servers, using one of its listed databases and destinations. Its free plan is sized for one server and two databases; larger history limits are listed on paid plans.
What is good
- Supports six listed database types
- Offers point-in-time recovery
- Backups can go to cloud, FTP, SSH or folders
- 30-day trial requires no credit card
What to know first
- Free plan covers one server
- Free plan limits backups to two databases
- Free plan keeps one month of history
Verdict
SqlBak combines backup automation with a range of database types and storage destinations. The free tier is limited in servers, databases and history, while paid plans are priced per server.
SqlBak plans and pricing
All plansCompared on database backup software
- Free plan
- Yes
- Point-in-time recovery
- Yes
- Backup frequency
- custom
- Restore verification
- Yes
- Deployment model
- hybrid
- Supported databases
- Microsoft SQL Server, PostgreSQL, MySQL, Azure SQL, Amazon RDS for SQL Server, MongoDB
