SQL Vs MySQL

The term SQL implies Structured Query Language, and by the ANSI (American National Standards Institute) guidelines, it helps maintain and manage databases. Therefore, the standard SQL syntax helps maintain and manage a database.

Developed at IBM, SQL helps you query a database by adding, changing, and extracting data. The language that you use is very similar to English. This post will discuss the difference between SQL Vs MySQL in more detail.

What Is SQL?

SQL or Structured Query Language is used to communicate with databases. The SQL statements perform tasks like updating or retrieving data using a database. Some familiar DBS (database management systems) include Microsoft SQL Server, Oracle, Ingres, Access, Sybase, etc.

Most database systems use SQL and possess their default additional proprietary extensions. Some of the standard SQL command that helps you use the database is "Create", "Insert", "Drop", "Select", "Update", and "Delete". The different SQL commands are DDL (to create, drop, alter, truncate), DML (to insert, update and delete), DCL (to grant and revoke), TCL (to commit, rollback, save point), and DQL (to select).

What Is MySQL?

A relational database is a database that collects and stores data items using pre-defined relationships. Such databases follow the relational model of representing data with tables of rows and columns. The individual columns in the table involve specific data with an area that stores the actual value of the attribute. The relational database offers a basic introduction to MySQL.

Now, let’s understand what is MySQL? in the following paragraphs.     

The relational DBMS (database management system) MySQL was released in 1995 by MySQL AB. It was one of the earliest RDBMS that was open-source. Although several variants of MySQL are already available, its basic syntax is written in object-oriented programming languages, C and C++.

MySQL shares compatibility with every primary OS and is the main component of LAMP (Linux, Apache, MySQL, Python, Perl, PHP) – an open-source web application software.

Differences Between SQL and MySQL

Both SQL and MySQL have their differences that offer some set of advantages or disadvantages over the other. But, you can use both to get the most from them. You should set preferences to your requirements before choosing any of them. Learn the basic syntax and how they can help you achieve your objectives.

The following points will describe the characteristics of SQL VS MySQL:

1. Nature

SQL: It is a query language (Structured Query Language). Since it's not an open-source language, you cannot avail of community support while facing a problem. Instead, you'll have to depend on support from Microsoft SQL Server.

MySQL: It is a relational database that queries a database using SQL. It involves comprehensive and reliable community support.

2. Purpose

SQL: Used primarily to operate, update or change query and database management systems. In addition, SQL is helpful for writing database queries.

MySQL: Manipulate, store, change and delete data in an organized manner in a table-like format.

3. Add-Ons

SQL: Lacks connector support.

MySQL: Carries a built-in tool called MySQL Workbench for creating, developing, and building databases.

4. Variations

SQL: Maintains a standardized and simple format and lacks daily updates. However, the commands and syntax for RDBMS and DBMS remain similar.

MySQL: Involves multiple variants and obtains frequent updates.

5. Storage Support

SQL: Supports one storage engine.

MySQL: Includes several storage engines, including flexible plug-in storage that makes it functionally elastic.

6. Security

SQL: Follows strict norms when handling data by preventing its default binaries and other processors like third-party apps from manipulating data on execution. As a result, the SQL server offers improved protection compared to the MySQL server.  

MySQL: Offers fewer security features by enabling access to third-party processors for data manipulation on extracting files through binaries.

7. Database Dependency

SQL: The SQL server is independent of the database, where you can perform database operations while in a data backup session.

MySQL: You use extract SQL statements for performing data backups, but the server blocks the database while backing up the data. It helps reduce the risks of corrupting data while changing different MySQL versions.    

8. Relational Databases

SQL: The language operates across several relational databases.

MySQL: The first relational database with an open-source architecture during the early-90s period.  

Now, let’s check the application differences of SQL Vs MySQL over the following paragraphs.  

Applications of SQL

1. DQL: SQL is useful for DQL or Data Query Language to retrieve data from a database using the SQL statement SELECT.
2. DDL: Data Definition Language or DDL defines database schema and creates and alters the database objects' structures using SQL statements like CREATE, COMMENT, ALTER, RENAME, TRUNCATE, and DROP.
3. DML: Data Manipulation Language or DML helps store, change, delete and update data within a database. It involves SQL statements like INSERT, DELETE, and UPDATE.
4. DCL: Data Control Language or DCL offers access to the stored data within a database.
5. Database Transaction Management: It Maintains database-related transactions using the basic rules of ACID properties. Some of the SQL statements are SAVEPOINT, TRANSACTION, ROLLBACK, and COMMIT.
6. Processes, Triggers, User-Defined Functions, Indexes: Use SQL statements to create indexes, triggers, cursors, and user-defined functions.

Applications Of MySQL

1. Processing Online Transactions: MySQL is useful for applications that require a transactional SQL engine. Its database can empower mission-critical applications and help websites handle massive online traffic.
2. LAMP Stack: LAMP Stack is an open-source software stack to develop customized web application features. The simple programming syntax of MySQL helps develop high-performance applications.
3. E-commerce Applications: Involves user data, transactional data, and consumer information on an eCommerce application. MySQL offers security, and it improves performance by processing high request volumes in a short time.
4. SaaS Applications: The increasing SaaS applications market requires vendors to remain updated with the application performance. MySQL uses vertical and horizontal scalability to accelerate performance. In addition, users can get improved security features on data and transactions with firewall protection, encryption, and authentication.

These are some of the uses of SQL and MySQL and SQL and MySQL differences in real-life applications.

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