The Hepsia Control Panel features a full-featured database management graphical user interface, which will give you full control over your DBs. You can effortlessly set up brand new MySQL and PgSQL databases and administer them through the phpMyAdmin and phpPgAdmin tools respectively.
An Easy-to-Use Interface
With the Database Manager interface, you can create a new DB in no time - just specify its name and that's all. You will see 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 tools.
Simple Database Backups
It is very important to make regular backups of your DBs to protect your web site content and to prevent any incidental loss of data. With the Database Manager graphical user interface, creating a database backup is very easy. Simply click the Backup button next to the database you would like to back up and you will be instantly taken to the File Manager from where you can download your newly created database backup file.
MySQL and PgSQL Databases
The number of PgSQL and/or MySQL DBs that you can create differs depending on the web hosting plan that you have picked. While MySQL is a very famous database management system utilized by 1 000 000's of individuals around the world, PostgreSQL is considered a more advanced database management system and is primarily utilized by technically advanced website administrators. You can manage your MySQL DBs via the phpMyAdmin tool, whereas PostgreSQL DBs can be managed through the phpPgAdmin software tool.
InnoDB is the leading database engine for MySQL, which is aimed at protecting users' data and at increasing multi-user concurrency and performance. When you wish to create a new database table, just log into the Hepsia Control Panel-incorporated phpMyAdmin database management tool and select the InnoDB database engine from the list of available database engines.
Hepsia's Database Manager also contains comprehensive statistics 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.
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