The Hepsia web hosting Control Panel offers a full-featured database management user interface, which will give you total control over your databases. You can easily create new MySQL and PgSQL DBs and administer them through the phpMyAdmin and phpPgAdmin tools respectively.
An Easy-to-Use Interface
With the Database Manager, you can set up a new database in a matter of seconds - simply fill in its name and that's all. You will notice a list of all your DBs and their corresponding sizes. You will be able to change passwords, to create database backups and to even log into the phpMyAdmin and phpPgAdmin database administration tools.
Simple Database Backups
It is very important to make routine backups of your DBs to secure your website content and to prevent any accidental loss of data. With the Database Manager GUI, creating a database backup is very easy. Simply press the Backup button next to the database you wish to back up and you will be instantly taken to the File Manager section from where you can download your freshly created backup file.
MySQL and PgSQL Databases
The number of PgSQL and/or MySQL DBs that you can set up varies depending on the hosting plan that you have chosen. While MySQL is a very popular 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 primarily used by technically experienced webmasters. You can manage your MySQL databases through the phpMyAdmin tool, while PostgreSQL DBs can be managed via the phpPgAdmin tool.
InnoDB is the leading transactional storage engine for the MySQL DBMS, which is aimed at securing user data and at enhancing multi-user concurrency and performance. When you need to create a new database 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 engines.
Hepsia's Database Manager section also contains comprehensive statistics about your databases, including the amount of hourly database queries. This will give you a clue about how much load is generated over a given time period.
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