The Hepsia Control Panel includes a full-featured database administration graphical user interface, which will give you absolute command over your DBs. You can effortlessly set up brand new MySQL and PostgreSQL databases and manage them through the phpMyAdmin and phpPgAdmin database management tools respectively.
An Easy-to-Use Interface
With the Database Manager, you can create a new database in no time - just specify its name and that's it. You will see a list of all your databases and their respective sizes. You will be able to change passwords, to create backups and to even log in to the phpMyAdmin and phpPgAdmin tools.
Simple Database Backups
It is quite essential to create frequent backups of your databases to secure your web site content and to prevent any unexpected loss of data. With the Database Manager GUI, creating a database backup file is extremely easy. Just click the Backup button next to the database you wish to back up and you will be instantaneously taken to the File Manager from where you can download your freshly created backup file.
MySQL and PgSQL Databases
The number of PgSQL and/or MySQL databases that you can set up varies based on the web hosting package that you have picked. While MySQL is a very famous database management system employed by 1 000 000's of individuals around the world, PostgreSQL is regarded as being a more advanced database management system and is mainly employed by technically accomplished website owners. You can manage your MySQL DBs via the phpMyAdmin tool, while PostgreSQL DBs can be managed through the phpPgAdmin tool.
InnoDB is the leading transactional storage engine for MySQL, which is aimed at protecting user data and at enhancing multiuser concurrency and performance. When you want to create a new database table, simply log in to the Hepsia Control Panel-incorporated phpMyAdmin database management tool and pick the InnoDB database engine from the list of available database engines.
Hepsia's Database Manager also includes comprehensive stats about your databases, 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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