Hepsia Database Manager
The Hepsia web hosting Control Panel offers a full-featured database administration interface, which will grant you complete control over your databases. You can easily create new MySQL and PgSQL DBs and manage their settings via the phpMyAdmin and phpPgAdmin software tools respectively.
An Easy-to-Use Interface
With the Database Manager, you can create a brand new database in a matter of seconds - just fill in its name and that's all. You will see a list of all your DBs and their corresponding sizes. You will be able to edit passwords, to create backups and to even log in to the phpMyAdmin and phpPgAdmin software tools.
Simple Database Backups
It is quite important to make regular backups of your databases to secure your website content and to steer clear of any unexpected data loss. With the Database Manager GUI, creating a database backup is extremely easy. Simply click the Backup button next to the database you wish to back up and you will be immediately taken to the File Manager section from where you can download your freshly created backup file.
MySQL and PgSQL Databases
The number of PostgreSQL and/or MySQL DBs that you can create differs based on the hosting plan that you have selected. While MySQL is a very popular database management system used by millions of individuals around the globe, PostgreSQL is considered a more innovative database management system and is mostly used by tech-savvy web site owners. You can administer your MySQL DBs through the phpMyAdmin software tool, while PgSQL databases can be managed via the phpPgAdmin software tool.
InnoDB is the leading database engine for MySQL, which is aimed at protecting user data and at enhancing multiuser concurrency and performance. When you would like to create a new DB table, simply log in to the Hepsia Control Panel-integrated phpMyAdmin database administration tool and pick the InnoDB storage engine from the list of available storage engines.
Hepsia's Database Manager section also includes detailed statistics about your DBs, including the number of hourly database requests. This will give you an idea of how much load is created during a given period of time.
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