The Hepsia Control Panel includes a full-featured database management GUI, which will grant you full command over your DBs. You can easily create new MySQL and PgSQL databases and administer their settings via the phpMyAdmin and phpPgAdmin software tools respectively.
An Easy-to-Use Interface
With the Database Manager graphical user interface, you can create a brand new database in seconds - just specify its name and that's all. You will see a list of all your DBs and their corresponding sizes. You will be able to edit passwords, to create backups and to even log into the phpMyAdmin and phpPgAdmin database management tools.
Simple Database Backups
It is very essential to make regular backups of your databases to protect your website content and to avoid any incidental data loss. With the Database Manager user interface, creating a database backup is very easy. Just press 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 freshly 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 web hosting plan that you have selected. While MySQL is a very famous database management system used 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 tech-savvy site owners. You can manage your MySQL databases via the phpMyAdmin tool, whereas PostgreSQL DBs can be managed through the phpPgAdmin software tool.
InnoDB is the leading storage engine for MySQL, which is aimed at protecting users' data and at enhancing multiuser concurrency and performance. When you would like to create a new DB table, simply log into the Hepsia web hosting Control Panel-incorporated phpMyAdmin database management tool and select the InnoDB database engine from the list of available storage engines.
Hepsia's Database Manager also contains detailed stats about your DBs, including the amount of hourly database queries. This will give you a clue about how much load is created over a specific period of time.
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