Hepsia Database Manager
The Hepsia Control Panel offers a full-featured database management GUI, which will grant you total command over your DBs. You can easily set up new MySQL and PostgreSQL DBs and manage their content via the phpMyAdmin and phpPgAdmin tools respectively.
An Easy-to-Use Interface
With the Database Manager interface, you can set up a brand new DB in a matter of seconds - simply 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 edit passwords, to create backups and to even log in to the phpMyAdmin and phpPgAdmin database administration tools.
Simple Database Backups
It is very important to create frequent backups of your DBs to protect your website content and to avoid any incidental data loss. With the Database Manager, creating a database backup is extremely easy. Just click the Backup button next to the database you want to back up and you will be instantly taken to the File Manager section from where you can download your newly created database backup file.
MySQL and PgSQL Databases
The number of PostgreSQL and/or MySQL databases that you can create varies depending on the hosting package that you have selected. While MySQL is a very popular database management system utilized by 1 000 000's of individuals all over the globe, PostgreSQL is considered a more advanced database management system and is mainly used by tech-savvy website owners. You can administer your MySQL DBs via the phpMyAdmin tool, whereas PgSQL DBs can be administered through the phpPgAdmin tool.
InnoDB Support
InnoDB is the leading storage engine for MySQL, which is aimed at protecting user data and at increasing multi-user concurrency and performance. When you need to create a new database table, just log into the Hepsia Control Panel-incorporated phpMyAdmin database management tool and select the InnoDB storage engine from the list of available engines.
More Features
Hepsia's Database Manager also contains thorough stats about your databases, including the number of hourly database queries. This will give you an idea of how much load is created during a specific period of time.
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