Database is a systematic collection of data. Databases support storage and manipulation of data. Databases make data management easy. Let's discuss few examples. An online telephone directory would definitely use database to store data pertaining to people, phone numbers, other contact details, etc. Your electricity service provider is obviously using a database to manage billing , client related issues, to handle fault data, etc. Let's also consider the facebook. It needs to store, manipulate and present data related to members, their friends, member activities, messages, advertisements and lot more.
MySQL is a database management system that is used by WordPress to store and retrieve all your blog information. Think of it this way. If your database is a filing cabinet that WordPress uses to organize and store all the important data from your website posts, pages, images, etc), then MySQL is the company that created this special type of filing cabinet. MySQL is an open source relational database management system. It runs as a server and allows multiple users to manage and create numerous databases. It is a central component in the LAMP stack of open source web application software that is used to create websites. LAMP stands for Linux, Apache, MySQL, and PHP. Most WordPress installations use the LAMP stack because it is open source and works seamlessly with WordPress.
PostgreSQL is an enterprise-class open source database management system. It supports both SQL for relational and JSON for non-relational queries. It is backed by an experienced community of developers who have made tremendous contribution to make it highly reliable DBMS system. PostgreSQL supports advanced data types and advance performance optimization, features only available in the expensive commercial database, like Oracle and SQL Server. You will find PostgreSQL also known as Postgres. This is an object-relational database management system And it uses SQL Structured query language) as its main query language. DBMS is a combination of applications, different utilities, and libraries. Over the years, there are no.of database management systems out there. The object-relational database specifies large shared databases.
MySQL is globally renowned for being the most secure and reliable database management system used in popular web applications like WordPress, Drupal, Joomla, Facebook and Twitter. The data security and support for transactional processing that accompany the recent version of MySQL, can greatly benefit any business especially if it is a eCommerce business that involves frequent money transfers.
MySQL offers unmatched scalability to facilitate the management of deeply embedded apps using a smaller footprint even in massive warehouses that stack terabytes of data. On-demand flexibility is the star feature of MySQL. This open source solution allows complete customization to eCommerce businesses with unique database server requirements.
MySQL features a distinct storage-engine framework that facilitates system administrators to configure the MySQL database server for a flawless performance. Whether it is an eCommerce website that receives a million queries every single day or a high-speed transactional processing system, MySQL is designed to meet even the most demanding applications while ensuring optimum speed, full-text indexes and unique memory caches for enhanced performance.
MySQL comes with the assurance of 24X7 uptime and offers a wide range of high availability solutions like specialized cluster servers and master/slave replication configurations.
By migrating current database apps to MySQL, enterprises are enjoying significant cost savings on new projects. The dependability and ease of management that accompany MySQL save your troubleshooting time which is otherwise wasted in fixing downtime issues and performance problems.
Partitioning isn’t a new feature — it’s been around for several years — but the partitioning overhead detracted from performance. While PostgreSQL 11 introduced some performance improvements for partitioning, PostgreSQL 12 delivers a polished implementation. For users moving from other databases with thousands of partitions, PostgreSQL 12 now delivers performance benefits by delivering capabilities that can efficiently process thousands of partitions simultaneously.
B-Tree functionality is one of the most complicated feature additions made to PostgreSQL in recent years. The benefit of using B-Trees is to reduce the number of disk blocks accessed. Considering B-Tree technologies date back to the 1970s, it’s difficult to improve upon tried-and-true functions that have existed for decades.
This update, which has been in development for several years, is meant to address an issue that has generated complaints over the years: the edge case of correlated columns in a query.
Another feature that’s been overdue for a proper implementation is common table expressions (WITH query inlining). Common table expressions act as an optimization barrier, the query in the common table expression is executed first then PostgreSQL will execute anything after that in the query.