The Hepsia web hosting Control Panel includes a fully featured database administration interface, which will give you total command over your DBs. You can easily set up brand new MySQL and PostgreSQL DBs and manage them through the phpMyAdmin and phpPgAdmin tools respectively.
An Easy-to-Use Interface
With the Database Manager GUI, you can create a new database in no time - simply specify its name and that's all. You will notice a list of all your DBs and their corresponding sizes. You will be able to change passwords, to create database backups and to even log in to the phpMyAdmin and phpPgAdmin tools.
Simple Database Backups
It is very important to create regular backups of your databases to protect your web site content and to steer clear of any accidental loss of data. With the Database Manager interface, creating a database backup is extremely easy. Just click on the Backup icon 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 freshly created backup file.
MySQL and PgSQL Databases
The number of PgSQL and/or MySQL DBs that you can set up varies depending on the shared hosting plan that you have selected. While MySQL is a very famous database management system employed by millions of individuals around the world, PostgreSQL is looked upon as being a more advanced database management system and is mostly utilized by technically knowledgeable web site owners. You can manage your MySQL DBs through the phpMyAdmin tool, while PgSQL DBs 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 multi-user concurrency and performance. When you wish to create a new DB table, just log in to the Hepsia Control Panel-incorporated phpMyAdmin database administration tool and choose the InnoDB storage engine from the list of available engines.
Hepsia's Database Manager section also contains comprehensive stats about your DBs, including the number of hourly database queries. This will give you a clue about how much load is generated over a particular time period.
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