The Hepsia web hosting Control Panel offers a fully featured database management user interface, which will grant you full control over your DBs. You can easily set up brand new MySQL and PgSQL databases and administer their content through the phpMyAdmin and phpPgAdmin database management tools respectively.
An Easy-to-Use Interface
With the Database Manager, you can set up a 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 modify passwords, to create database backup files and to even log into the phpMyAdmin and phpPgAdmin software tools.
Simple Database Backups
It is quite important to create frequent backups of your DBs to protect your web site content and to abstain from any unexpected data loss. With the Database Manager GUI, creating a database backup file is extremely easy. Just press the Backup button next to the database you wish 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 PgSQL and/or MySQL DBs that you can create differs depending on the web hosting plan that you have with us. While MySQL is a very famous database management system used by 1 000 000's of users all around the globe, PostgreSQL is looked upon as being a more advanced database management system and is mostly utilized by technically competent website owners. You can administer your MySQL databases through the phpMyAdmin tool, while PostgreSQL DBs can be administered via the phpPgAdmin tool.
InnoDB is the leading transactional storage engine for MySQL, which is aimed at securing user data and at enhancing multi-user concurrency and performance. When you wish to create a new database table, just log into the Hepsia web hosting Control Panel-integrated phpMyAdmin database administration tool and pick the InnoDB storage engine from the list of available engines.
Hepsia's Database Manager also contains exhaustive stats about your databases, including the amount of hourly requests. This will give you a clue about how much load is generated during a certain time period.
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