The Hepsia web hosting Control Panel comprises a fully featured database management user interface, which will give you complete command over your databases. You can easily create new MySQL and PgSQL DBs and manage them via the phpMyAdmin and phpPgAdmin database management tools respectively.
An Easy-to-Use Interface
With the Database Manager graphical user interface, you can create a new database in no time - just fill in its name and that's all. You will notice a list of all your databases and their respective sizes. You will be able to alter passwords, to create database backups and to even log into the phpMyAdmin and phpPgAdmin tools.
Simple Database Backups
It is very essential to create periodic backups of your databases to secure your website content and to steer clear of any unexpected data loss. With the Database Manager, creating a database backup is very easy. Just push the Backup button next to the database you want to back up and you will be momentarily taken to the File Manager section 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 with us. While MySQL is a very famous database management system utilized by 1 000 000's of users all over the world, PostgreSQL is looked upon as being a more innovative database management system and is chiefly employed by technically experienced webmasters. You can manage your MySQL DBs through the phpMyAdmin tool, whereas PostgreSQL databases can be administered via the phpPgAdmin tool.
InnoDB is the leading transactional storage engine for the MySQL DBMS, which is aimed at protecting users' data and at increasing multi-user concurrency and performance. When you wish to create a new database table, simply log in to the Hepsia web hosting Control Panel-integrated phpMyAdmin database administration tool and pick the InnoDB database engine from the list of available engines.
Hepsia's Database Manager also comprises elaborate statistics about your databases, including the amount of hourly database requests. This will give you an idea of how much load is generated during a certain time period.
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