Sql vs Mysql

sql-vs-mysql

SQL Vs MySQL: Difference Between SQL and MySQL

With an increasing number of businesses establishing an online presence, databases have become a crucial necessity for organizations of all shapes and sizes. A database is an assortment of data in a layman’s words, organized and stored in the electronic form to ensure easy access, retrieval, manipulation, and management of business data.

Databases are pivotal to a business’ success because they help store the relevant data in a centralized location. Not just that, they also facilitate the communication of critical business information like customer profiles, representative profiles, item inventory, sales transactions, marketing campaigns, and so on. Also, databases ensure data security through various authentication mechanisms like user logins and access specifiers.

In this post, we’re going to talk about relational databases, with a special focus on two popular data management tools – SQL and MySQL.

What is a Relational Database?

A relational database refers to the database type that stores an assortment of data items having pre-defined relationships. This database adopts the relational model, representing data as a set of tables with columns and rows.

In a relational database, each segment within a table contains specific data and a field that stores an attribute’s real value. Then again, the rows within a table contain an assortment of a particular article’s related values. Each column has a special identifier known as the primary key. You can access the stored data without needing to reorganize the tables.

Relational databases adhere to integrity rules to ensure that data stored in the tables always remains accurate and accessible. For instance, an integrity decide specifies that duplicate rows aren’t allowed in a table. It will prevent the event of rows containing the same data, thereby eliminating errors in the table.

SQL and MySQL are two broadly used terms in enterprise data management. While they may sound like close relatives, they’re innately unique. On the off chance that you wish to work with relational databases, big data, business intelligence, and business analytics, you must know the contrast between SQL and MySQL.

SQL vs. MySQL: What are they?

What is SQL?

Structured Query Language a.k.a., SQL is the standard language used to operate, manage, and access databases. By making minor changes in the syntax, you can add, retrieve, erase, or access data in various databases. The American National Standards Institute (ANSI) maintains that SQL is the standard language for managing a relational database management system, such as MySQL. It is claimed, hosted, maintained, and offered by Microsoft.

You can use SQL to write programs for making any modifications to a database. Besides that, you can use SQL to create and change database schemas. Probably the greatest advantage is that you can use a single command to access numerous records within a database.

What is MYSQL?

MySQL was developed way back in 1995 by MySQL AB. However, now it is owned and offered by Oracle Corporation. MySQL is an open-source relational database management system that uses SQL commands to perform specific functions/operations in a database.

MySQL is written in the C and C++ programming languages. It is compatible with almost all major platforms, including Windows, Mac OS X, Linux, and Unix-based operating systems. It is also a core element of the open-source technology stack, LAMP (Linux, Apache, MySQL, and PHP). MySQL offers a multi-user access to databases.

SQL vs. MySQL: What are the fundamental differences between SQL and MySQL?

Here are the primary differences between SQL and MySQL:

  • While SQL is a language used for operating different relational databases, MySQL boasts of being the first open-source relational database in the early 90s. 
  • SQL is a query language, whereas MySQL is a relational database that uses SQL to query a database.
  • You can use SQL to access, update, and manipulate the data stored in a database. However, MySQL is a database that stores the existing data in a database in an organized manner. 
  • SQL is used for writing queries for databases, MySQL facilitates data storing, modifying, and management in a tabular format. 
  • SQL does not have support for any connectors. However, MySQL comes with an integrated tool – MySQL workbench – for designing and building databases. 
  • SQL follows a standard format wherein the basic syntax and commands used for DBMS and RDBMS remain pretty much the same, whereas MySQL receives frequent updates. 
  • SQL supports a single storage engine, but MySQL supports multiple storage engines and also plug-in storage engines. Thus, MySQL is more flexible.
  • In SQL, the server remains independent of the database, which means that you can perform other operations on a database during a data backup session. On the other hand, in MySQL, you can perform a data backup by extract SQL statements. However, unlike SQL, in MySQL, the server blocks the database during a data backup session, minimizing data corruption chances when switching from one MySQL version to another.
  • In terms of data security, the SQL server is much more secure than the MySQL server. In SQL, external processes (like third-party apps) cannot access or manipulate the data directly. While in MySQL, one can easily manipulate or modify the database files during run time using binaries.
  • SQL is not an open-source language. Naturally, if you experience any issue, you cannot expect community support. Instead, you’ll have to rely on Microsoft SQL Server support. Contrary to this, MySQL being an open-source platform, offers rich and robust community support. 

Conclusion

To close, the SQL vs. MySQL debate is an open-finished one that does not end in an either/or argument. Although there are many differences between SQL and MySQL, they can very well supplement each other to cater to your relational database requirements. Essentially, the decision between SQL and MySQL boils down to specific needs like security, speed, scalability, and effectiveness.