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The Hepsia hosting Control Panel comprises a fully featured database management interface, which will grant you full control over your databases. You can easily set up new MySQL and PgSQL databases and manage their content through the phpMyAdmin and phpPgAdmin software tools respectively.
An Easy-to-Use Interface
With the Database Manager user interface, you can create a brand new database in a matter of seconds - just fill in its name and that's it. You will see a list of all your DBs and their corresponding sizes. You will be able to change passwords, to create backup files and to even log in to the phpMyAdmin and phpPgAdmin tools.
Simple Database Backups
It is quite important to create frequent backups of your DBs to secure your website content and to prevent any unexpected data loss. With the Database Manager user interface, creating a database backup is extremely easy. Simply click on the Backup icon 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 based on the shared hosting plan that you have selected. While MySQL is a very famous database management system used by 1 000 000's of users all over the globe, PostgreSQL is considered a more innovative database management system and is mainly used by technically advanced site owners. You can manage your MySQL databases via the phpMyAdmin software tool, whereas PostgreSQL databases can be managed via the phpPgAdmin tool.
InnoDB is the leading database engine for MySQL, which is aimed at securing user data and at increasing multiuser concurrency and performance. When you would like to create a new DB table, simply log into the Hepsia Control Panel-integrated phpMyAdmin database administration tool and select the InnoDB database engine from the list of available storage engines.
Hepsia's Database Manager section also contains exhaustive statistics about your databases, including the amount of hourly database requests. This will give you an idea of how much load is created during a specific time period.
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