The Hepsia web hosting Control Panel offers a fully featured database management user interface, which will grant you complete authority over your databases. You can easily set up brand new MySQL and PostgreSQL DBs and administer them through the phpMyAdmin and phpPgAdmin software tools respectively.
An Easy-to-Use Interface
With the Database Manager GUI, you can create a brand new database in seconds - simply specify its name and that's it. You will notice a list of all your databases and their respective sizes. You will be able to modify passwords, to create backups and to even log in to the phpMyAdmin and phpPgAdmin database management tools.
Simple Database Backups
It is quite important to make routine backups of your DBs to secure your web site content and to refrain from any incidental loss of data. With the Database Manager interface, creating a database backup file is very easy. Simply press the Backup button next to the database you want to back up and you will be instantaneously taken to the File Manager from where you can download your freshly created database backup file.
MySQL and PgSQL Databases
The number of PgSQL and/or MySQL DBs that you can set up varies depending on the shared hosting package that you have ordered. While MySQL is a very popular database management system used by 1 000 000's of users all around the globe, PostgreSQL is considered a more advanced database management system and is mainly used by technically advanced webmasters. You can manage your MySQL databases via the phpMyAdmin tool, while PgSQL DBs can be managed via the phpPgAdmin 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 database table, just log in to the Hepsia Control Panel-incorporated phpMyAdmin database management tool and choose the InnoDB database engine from the list of available engines.
Hepsia's Database Manager also comprises exhaustive statistics about your DBs, including the amount of hourly requests. This will give you an idea of how much load is generated over a given time period.
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