SQL vs MySQL
The world of technology is ever-changing and ever-evolving, but the need for data is constant. With the steep rise of online applications and websites, the need to manage this enormous data keeps increasing.
This is where Database Management Systems play their role by helping us to manage the huge amount of data using simple queries.
A database is a collection of data that is closely bound with the real world. It allows storage, management, and retrieval of data while ensuring security and privacy.
Every other website requires a database to deal with the traffic of data and operate on it.
A Relational Database Management System allows one to interact with the database and administer it. A relational database saves data in the basic format of columns and rows.
This format makes the data easily accessible and traversable as they are related to each other.
A couple of most famous and used RDMS systems are SQL Server and MySQL. Their ease of accessibility and simplicity makes the users choose them over the other existing systems.
To operate on these systems, there is a predefined query language known as SQL.
SQL is a language used for storing and operating on the data in the database using simple queries. It allows the implementation of programs for handling structured and related data.
It has a set of commands which are used to make the operations and to interact with the existing records.
Comparison Table Between SQL and MySQL (in Tabular Form)
|Parameters of comparison||SQL||MySQL|
|Definition||SQL is basically Structured Query Language. This language can be utilized used to manage relational databases.||MySQL is an open-source RDBMS based on SQL language. It is used to work on the data stored in the database.|
|Type||It is a query language.||It is used to build database queries as it as a database software.|
|Use||It can handle the database.||It is used to modify, delete, and store data in the database.|
|Flexibility||In SQL, you can use user-defined functions along with XML.||Unlike SQL, MySQL doesn’t support either.|
|Complexity||One needs to practice the language well to be able to use it.||One needs to download and install the software to work on it.|
|Updates||There aren’t any updates in SQL since it is a language. The commands and syntax are fixed and cannot be updated.||There are regular updates in MySQL as it is a software. The latest version of MySQL is version 8.0.|
What is SQL?
SQL stands for Structured Query Language. It a Domain Specific Language as it is specific to interacting with relational databases. As per ANSI (American National Standards Institute), if you want to work on data in the database, the standard language will be SQL.
It allows one to handle structured data, which is in the form of related entities and variables. SQL provides the functions to add, update, access, remove or delete data stored in that particular database.
SQL does not require specification on how to get to a record in the database. This makes it a natural database language.
It was released in 1986 and had the reputation of being the most widely used database language. Being a 4th generation programming language, SQL is also multi-paradigm in nature.
SQL code is not completely portable among some database systems in the original format. It follows the ISO/IES 9075 standards, but it still requires little adjustments according to the database systems.
SQL code comprises of many statements which are classified as sublanguages:
- DQL: Data Query Language
- DDL: Data Definition Language
- DML: Data Manipulation Language
- DCL: Data Control Language
DDL allows one to create and modify tasks. DML consists of commands used for inserting, updating, and deleting data. Lastly, DCL contains access control commands.
What is MySQL?
MySQL is an open-source RDBMS that was built to run queries and process data. It was launched by MySQL AB in 1995, which was later acquired by Oracle Corporation.
MySQL is available in two editions, open-source, as well as proprietary enterprise servers.
It is a cross-platform software that has stored procedures, cursors and data definition language, triggers, partitioning, indexing ACID compliance, views updatable, SSL support, and commit grouping like features.
MySQL is a free and open-source software under GPLv2 and other proprietary licenses. The software is written in C and C++ languages and supports Linux, Solaris, macOS, Windows, and FreeBSD operating systems.
It is used in conjunction with PHP and Apache Web Server with a Linux Distribution. MySQL is highly efficient in handling projects with small and huge scope. It provides multiple databases on a single server.
Main Differences Between SQL and MySQL
- SQL is a standard language used for accessing, manipulating, and retrieving data from the database systems. However, MySQL is an open-source software based on the SQL language.
- SQL is a domain-specific query language, while MySQL is the database software that allows the queries to perform operations.
- SQL is a predefined language and does not get timely updates. However, MySQL is software and thus gets frequent updates to improve the services.
- To be able to implement SQL, the user requires prior experience and knowledge about the commands. Whereas, the MySQL software requires one to download and install it.
- While SQL provides commands to manipulate data, MySQL provides space to apply SQL and process the data.
Learn More With the Help of Video
SQL and MySQL both together make a great combination to handle databases efficiently. SQL provides the commands required to operate on the data, which is related and well-structured.
While MySQL is the software that facilitates the SQL commands to be executed, thus processing the data. SQL and MySQL are widely used for their high flexibility, extensibility, and simplicity of use.
They can be used for websites as well as applications. They together provide a well manageable and secure interface to process data that matches the needs and requirements of the latest trends.
Word Cloud for Difference Between SQL and MySQL
The following is a collection of the most used terms in this article on SQL and MySQL. This should help in recalling related terms as used in this article at a later stage for you.