DbSchema vs. SQL Server Management Studio (SSMS) vs. SQLBackupAndFTP vs. dbForge Schema Compare for PostgreSQL Comparison Chart

DbSchema is for visual designing the schema in a team, deploy and document the schema. Other integrated features like data explorer, visual query editor, data generator, etc., makes DbSchema an every-day tool for everybody who interacts with databases. DbSchema supports all relational and No-SQL databases, including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, Google and more. DbSchema is reverse-engineering the database schema from the database and visualize it as diagrams. You will interact with the database using diagrams and visual tools. DbSchema model is using its copy of schema structure, independent from the database. This allows the schema deployment on multiple databases, save the design model to file, store it in GIT and design the schema in a team, design the schema without database connectivity, compare different versions of the schema and generate SQL migration scripts.

No more complicated configuration, just a single form to automate backups: select databases, backup (full, diff, tran log), encrypt, compress, send to a folder, FTP or cloud service. SQLBackupAndFTP is a software that backups SQL Server, MySQL, and PostgreSQL Server databases, performs regular full, differential, and transaction log backups, runs file/folder backup, zips and encrypts the backups, stores them on a network or on an FTP server or in the cloud (Amazon S3 and others - we're constantly adding more), removes old backups, and sends an e-mail confirmation on the job's success or failure. SQLBackupAndFTP is ideal for any SQL Server, MySQL, PostgreSQL, Azure SQL, or Amazon RDS SQL database where backups should be sent to FTP, SFTP, FTPS, NAS, local or network folder, Google Drive, Dropbox, OneDrive, Box, Amazon S3 (and any S3-Compatible storage), Azure Storage, Backblaze B2, Yandex.Disk. It is especially useful for any SQL Server versions, including Azure SQL and Amazon RDS SQL.