The Hepsia hosting Control Panel features a full-featured database management GUI, which will grant you absolute authority over your databases. You can easily create new MySQL and PgSQL DBs and administer their settings via the phpMyAdmin and phpPgAdmin database administration tools respectively.
An Easy-to-Use Interface
With the Database Manager, you can create a brand new database in no time - simply fill in its name and that's it. You will see a list of all your DBs and their respective sizes. You will be able to modify passwords, to create database backups and to even log in to the phpMyAdmin and phpPgAdmin database administration tools.
Simple Database Backups
It is quite essential to create regular backups of your databases to secure your website content and to steer clear of any incidental loss of data. With the Database Manager GUI, creating a database backup is very easy. Simply click the Backup button next to the database you wish to back up and you will be instantly taken to the File Manager section from where you can download your newly created backup file.
MySQL and PgSQL Databases
The number of PgSQL and/or MySQL DBs that you can set up differs depending on the shared hosting plan that you have picked. While MySQL is a very famous database management system utilized by millions of users all around the globe, PostgreSQL is considered a more advanced database management system and is mostly utilized by technically advanced webmasters. You can manage your MySQL DBs through the phpMyAdmin tool, while PostgreSQL databases can be managed via the phpPgAdmin tool.
InnoDB is the leading transactional storage engine for MySQL, which is aimed at protecting user data and at increasing multiuser concurrency and performance. When you wish to create a new DB table, just log in to the Hepsia Control Panel-integrated phpMyAdmin database management tool and select the InnoDB database engine from the list of available engines.
Hepsia's Database Manager also includes exhaustive stats about your databases, including the amount of hourly queries. This will give you a clue about how much load is generated over a particular period.
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