The Hepsia web hosting Control Panel includes a full-featured database management interface, which will grant you total command over your DBs. You can effortlessly set up new MySQL and PgSQL databases and manage them via the phpMyAdmin and phpPgAdmin software tools respectively.
An Easy-to-Use Interface
With the Database Manager GUI, you can set up a brand new DB in a matter of seconds - simply specify its name and that's all. You will see a list of all your databases and their respective sizes. You will be able to alter passwords, to create backup files and to even log in to the phpMyAdmin and phpPgAdmin software tools.
Simple Database Backups
It is very essential to make frequent backups of your DBs to secure your web site content and to refrain from any eventual data loss. With the Database Manager, creating a database backup file is very easy. Just press the Backup button next to the database you want to back up and you will be instantly taken to the File Manager from where you can download your newly created backup file.
MySQL and PgSQL Databases
The number of PostgreSQL and/or MySQL DBs that you can set up varies based on the shared hosting plan that you have selected. While MySQL is a very popular database management system utilized by 1 000 000's of users around the world, PostgreSQL is looked upon as being a more advanced database management system and is primarily used by technically capable website administrators. You can administer your MySQL databases via the phpMyAdmin software tool, while PgSQL DBs can be administered via the phpPgAdmin software tool.
InnoDB is the leading storage engine for the MySQL DBMS, which is aimed at securing users' data and at enhancing multiuser concurrency and performance. When you want to create a new DB table, simply log into the Hepsia Control Panel-incorporated phpMyAdmin database management tool and pick the InnoDB storage engine from the list of available engines.
Hepsia's Database Manager section also comprises elaborate stats about your DBs, including the number of hourly database requests. This will give you an idea of how much load is generated during a specific period of time.
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