The Hepsia web hosting Control Panel comprises a fully featured database administration GUI, which will grant you full control over your DBs. You can easily create brand new MySQL and PgSQL DBs and administer their settings via the phpMyAdmin and phpPgAdmin tools respectively.
An Easy-to-Use Interface
With the Database Manager user interface, you can create a brand new DB in seconds - just specify its name and that's all. You will see a list of all your databases and their respective sizes. You will be able to change passwords, to create backup files and to even log into the phpMyAdmin and phpPgAdmin database administration tools.
Simple Database Backups
It is very essential to create periodic backups of your databases to secure your web site content and to steer clear of any incidental data loss. With the Database Manager GUI, creating a database backup is very easy. Just click the Backup button next to the database you want to back up and you will be instantaneously taken to the File Manager 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 create varies depending on the hosting plan that you have ordered. While MySQL is a very famous database management system used by millions of users around the world, PostgreSQL is thought of as being a more innovative database management system and is mainly utilized by technically proficient web site owners. You can administer your MySQL DBs through the phpMyAdmin tool, while PgSQL DBs can be managed via the phpPgAdmin tool.
InnoDB is the leading database engine for the MySQL DBMS, which is aimed at protecting user data and at enhancing 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 choose the InnoDB storage engine from the list of available database engines.
Hepsia's Database Manager section also contains detailed stats about your databases, including the amount of hourly database queries. This will give you a clue about how much load is generated over a specific period of time.
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