The Hepsia Control Panel comprises a fully featured database administration user interface, which will give you complete control over your DBs. You can easily set up new MySQL and PostgreSQL DBs and administer them via the phpMyAdmin and phpPgAdmin software tools respectively.
An Easy-to-Use Interface
With the Database Manager interface, you can set up a brand new database in a matter of seconds - simply specify its name and that's all. You will notice a list of all your databases and their respective sizes. You will be able to edit passwords, to create backup files and to even log into the phpMyAdmin and phpPgAdmin tools.
Simple Database Backups
It is quite essential to create periodic backups of your databases to protect your website content and to steer clear of any eventual data loss. With the Database Manager GUI, creating a database backup file is very easy. Just click the Backup button next to the database you want to back up and you will be immediately taken to the File Manager section from where you can download your newly created backup file.
MySQL and PgSQL Databases
The number of PostgreSQL and/or MySQL databases that you can set up differs depending on the website hosting package that you have selected. While MySQL is a very popular database management system utilized by 1 000 000's of users around the globe, PostgreSQL is thought of as being a more innovative database management system and is chiefly utilized by technically knowledgeable website owners. You can manage your MySQL DBs via the phpMyAdmin tool, whereas PgSQL databases can be managed via the phpPgAdmin software tool.
InnoDB is the leading database engine for the MySQL DBMS, which is aimed at protecting user data and at increasing multiuser concurrency and performance. When you want to create a new DB 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 engines.
Hepsia's Database Manager section also comprises exhaustive stats about your databases, including the amount of hourly queries. This will give you a clue about how much load is generated during a specific time period.
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