” In the 21st century, the database is the marketplace” – Stan Rapp
Two trending names in the world of Relational database management systems – MySQL and PostgreSQL have been rising high in the popularity charts across the globe. Both are open source in nature and continue to rank amongst the highest and widely used database management systems. They are considered perfect for managing relational data and use cases containing transactional data.
As always, there has been a heavy comparison of PostgreSQL vs MySQL Performance and other parameters, because of their reputation quotient and great results in database management. Here is a view of the popularity that they carry:
Before we begin to compare the two, let us have a look at them individually:
PostgreSQL is a powerful, open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance.
PostgreSQL has been considered an apt solution mainly for complex and high-volume data transactions. It is considered ideal while managing tough database conditions. It is extendable and allows users to define index and data types, functional languages. It gives NoSQL support and supports concurrency.
Here is a list of companies using PostgreSQL or that have leveraged the potential of PostgreSQL
MySQL is the world’s most popular open-source database. Whether you are a fast-growing web property, technology ISV, or large enterprise, MySQL can cost-effectively help you deliver high performance, scalable database applications.
MySQL has been a trustworthy and fast RDBMS and has proven its worth for many applications, especially scalable web applications. Many CMS like Drupal, Joomla, etc. depend upon MySQL and it is available almost everywhere on the web. Since it is maintained by Oracle, the quality of service is premium. It has a devoted community of members that contribute to its success.
There are many organizations, across the world, using MySQL. Here are some of them:
|Security||Offers a highly secure environment with native SSL support. Better connections for encryption of client-server communications.||Highly secure with great security features and good TLS support. Security protocols are based on access control lists for connections and queries.|
|Popularity Quotient||Developers love and prefer PostgreSQL more over MySQL||MySQL has a higher market share, questions on stack overflow and search trends than PostgreSQL|
|OS Compatibility||Windows, macOS, FreeBSD, Solaris, Red Hat Linux family, OpenBSD||Windows, Fedora, macOS, Linux, Oracle Solaris, FreeBSD, Open-source Build|
|RDBMS||PostgreSQL is an object-relational database (ORDBMS)||MySQL is a pure relational database (RDBMS)|
|Performance||Showcases good performance in conditions where there is high read and write speed||Showcases good performance in web-based apps and where there is the high read speed|
|Handling Timestamps and Date||Converts the timestamp to local time on the server and saves timestamps with time zone as a native data type||Converts the timestamp to local time on the server in UTC prior to storing the value|
|Complexity||It can manage complex queries and huge databases||It is relatively simple to manage OLAP and OLTP systems|
|Indexing Types and Scalability||Hash indexes, partial indexes, B-tree indexes, expression indexes||B-trees/R-trees indexes, hash indexes, and inverted lists|
|Coding Styles||PostgreSQL is case sensitive. It is required to convert strings and character sets to UTF-8. IF and IFNULL statements do not work fine. A CASE statement must be used.||MySQL is not case sensitive. It is not required to convert strings and character sets to UTF-8. IF and IFNULL statements work fine and can be used.|
|Modern Features||It supports features like JSON, XML, transactional DDL, table partitioning, point in time recovery, etc.||It supports features such as JSON, master-slave replication, scale-out, etc.|
|Licensing||MIT-style licensing||GNU General Public Licensing|
|Data Types||Supports advanced types – user-defined, hstore, array, etc.||SQL standardized types|
|Architecture||A multi-process, extendable ORDBMS||A single process RDBMS system|
|Community Support||Huge, open-source, and active community support with multiple resources||Vendor-supplied community support with limited free resources|
|ACID Compliance||PostgreSQL is ACID-compliant by design||MySQL supports ACID compatibility in a limited manner|
|Clustering||It has synchronous replication – 2-safe replication that uses 2 databases instances simultaneously||It has one-way asynchronous replication where a server acts as a master and other servers as slaves|
|Default values||Default values can be altered only at a system level||Default values can be overwritten at the session/statement level|
|Ease of Use||It is quite easy to use with its umpteen features that can utilize all detailed information with ease||It is easy to install and use but does have some limitations in terms of SQL and database features|
|Replication||Popular for replication, which is based on WAL files, hence much quicker and trustworthy. Supports a variety of replication||Supports replication and clustering feature, but is asynchronous and hence less reliable at time|
|Table Partitioning||Supports two types of table partitioning – by inheritance and declarative partitioning||Supports declarative table partitioning and sub partitioning|
|Supported Data Models||A popular NoSQL choice for developers with JSON competencies||Limited NoSQL competencies with JSON data types|
|GUI Administration||Can be remotely accessible with pgAdmin, Oracle’s SQL Developer, OmniDB, DBeaver||Can be remotely accessible with MySQL Workbench, OmniDB, Oracle’s SQL Developer, DBeaver|
|Support for Different Stacks||Popular with LAPP stack. LAPP is Linux, Apache, Postgres, and Php/Python||Popular with LAMP stack. LAMP is Linux Apache MySQL/MongoDB and Php/Python|
As such, which one to choose is a choice to be made depending upon requirement and infrastructure availability.
Choose PostgreSQL whenever
Choose MySQL whenever
In the end, both PostgreSQL and MySQL are great contenders for the race. It completely depends upon many factors such as budget, infrastructure, skillset, project size and type, community support, etc. when it comes to choosing between the two.
It is like choosing the better out of the best! Choose either, the project is sure to benefit.
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