Why PostgreSQL required linux dedicated server hosting

October 5, 2018October 5, 2018 shrafsupportadmin 707 Views

PostgreSQL is one of the powerful open source database management system in linux dedicated server hosting. It is supported in both Linux hosting as well as windows hosting. It is supported in different operating systems like Ubuntu, Nginx and Oracle Linux. PostgreSQL capable of handling many tasks efficiently compare to other databases and also using pgAdmin we can connect the databases remotely. We can implement stored procedures very easily in the web hosting field using PostgreSQL.

In the cloud hosting field when reliability and data integrity are an absolute necessity without excuses, PostgreSQL is the best to use in the linux web hosting platform. In future there is necessary for this database migration, PostgreSQL to other database system it is very easy to handle. Postgres remote link connection also very easy compare to other database in the linux web hosting and it is achieved using dblink installation. PostgreSQL will support variety of data types like Text search type, Date/time, Binary, JSON etc. It has several interfaces available like NodeJS, JDBC, pgsql in the web hosting. The primary front end for PostgreSQL is the psql command-line program can be used to enter SQL queries directly, or execute them from a file. And linux web hosting pgAdmin package is a free and open source graphical user interface administration tool for PostgreSQL. For current scenario most of them using PostgreSQL database for many of their application in the linux dedicated hosting like Odoo based ERP software, GPRS tracking, and other Ecommerce. Very easy to install in the cpanel linux dedicated servers and it is easy to manage via cpanel in web hosting GUI interface. When ever if require upgrading to next higher version of PostgreSQL also easy. The following are the ways to improve the PostgreSQL performance.

* Disable Autocommit
* Remove Indexes
* Remove Foreign Key Constraints
* Checkpoints Logging
* Statistics
* Choose proper hardware based on the database size and users
* Memory