The Hepsia web hosting Control Panel comprises a full-featured database management GUI, which will grant you full command over your databases. You can easily set up brand new MySQL and PostgreSQL databases and manage their settings via the phpMyAdmin and phpPgAdmin database management tools respectively.
An Easy-to-Use Interface
With the Database Manager user interface, you can set up a new database in no time - simply specify its name and that's all. You will see a list of all your databases and their corresponding sizes. You will be able to edit passwords, to create backup files and to even log in to the phpMyAdmin and phpPgAdmin tools.
Simple Database Backups
It is very essential to make frequent backups of your databases to protect your web site content and to abstain from any unexpected loss of data. With the Database Manager, creating a database backup is extremely easy. Just press the Backup button next to the database you want to back up and you will be instantaneously taken to the File Manager from where you can download your newly created database backup file.
MySQL and PgSQL Databases
The number of PgSQL and/or MySQL DBs that you can set up varies based on the shared hosting package that you have with us. While MySQL is a very famous database management system employed by 1 000 000's of users all around the world, PostgreSQL is regarded as being a more innovative database management system and is mostly utilized by technically proficient web site owners. You can manage your MySQL databases through the phpMyAdmin software tool, whereas PgSQL databases can be administered through the phpPgAdmin software tool.
InnoDB is the leading storage engine for the MySQL DBMS, which is aimed at protecting users' data and at enhancing multiuser concurrency and performance. When you need to create a new DB table, just log into the Hepsia Control Panel-integrated phpMyAdmin database administration tool and choose the InnoDB database engine from the list of available engines.
Hepsia's Database Manager also contains elaborate statistics about your databases, including the number of hourly requests. This will give you a clue about how much load is generated over a given period.
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