The Hepsia Control Panel includes a full-featured database management interface, which will grant you full authority over your databases. You can effortlessly create brand new MySQL and PgSQL DBs and administer their content via the phpMyAdmin and phpPgAdmin tools respectively.
An Easy-to-Use Interface
With the Database Manager interface, you can create a new database in seconds - just fill in its name and that's it. You will see a list of all your databases and their corresponding sizes. You will be able to modify passwords, to create database backup files and to even log in to the phpMyAdmin and phpPgAdmin software tools.
Simple Database Backups
It is very essential to create frequent backups of your databases to protect your website content and to steer clear of any eventual loss of data. With the Database Manager, creating a database backup file is very 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 from where you can download your freshly created database backup file.
MySQL and PgSQL Databases
The number of PgSQL and/or MySQL DBs that you can set up differs based on the hosting package that you have picked. While MySQL is a very famous database management system utilized by 1 000 000's of users around the globe, PostgreSQL is looked upon as being a more innovative database management system and is chiefly utilized by technically proficient site owners. You can administer your MySQL DBs via the phpMyAdmin tool, whereas PgSQL DBs can be administered via the phpPgAdmin tool.
InnoDB is the leading storage engine for the MySQL DBMS, which is aimed at securing user data and at increasing multiuser concurrency and performance. When you need to create a new DB table, simply log into the Hepsia hosting Control Panel-incorporated phpMyAdmin database administration tool and pick the InnoDB database engine from the list of available storage engines.
Hepsia's Database Manager section also contains exhaustive statistics about your DBs, including the number of hourly requests. This will give you a clue about how much load is generated over a specific time period.
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