PostgreSQL vs. PostgreSQL Data Access Components vs. SQL Server Data Access Components vs. SQLBackupAndFTP Comparison Chart

Enjoy the highest performance and unlimited possibilities when working with PostgreSQL. PostgreSQL Data Access Components (PgDAC) is a library of components that provides native connectivity to PostgreSQL from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. PgDAC is designed to help programmers develop really lightweight, faster, and cleaner PostgreSQL database applications without deploying any additional libraries. PgDAC is a complete replacement for standard PostgreSQL connectivity solutions and presents an efficient alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to PostgreSQL. It provides direct access to PostgreSQL without PostgreSQL Client. PgDAC allows developers to optimize their database applications and harness the full capabilities of PostgreSQL.

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.