List of “Difference Between” Important SQL Topics
Last Updated :
03 Jul, 2023
SQL is a programming language that allows the manipulation of data stored in a database in tables like create, edit, delete, and read. It is a domain-specific language and programming language for retrieving and managing data in relational databases. The term SQL stands for Structured Query Language. The relational database management system RDMS standard language is SQL. It is the common database language used by all RDBMS such as MySQL, MS Access, Oracle, Sybase, Informix, PostgreSQL, and SQL servers. Companies use SQL to store data in the Back-end. SQL is a language that helps computers and machines process vast amounts of complex data more efficiently and effectively. SQL benefits businesses, particularly in developing system database management services. SQL allows users to manipulate and define the data in the database. It will enable SQL modules, libraries, and pre-compliers to be embedded within other languages.
In order to prepare for interviews, SQL knowledge is crucial. Understanding the differences between various SQL topics is essential as it demonstrates your clarity in areas commonly asked about during SQL interviews. By familiarizing yourself with these distinctions, you can ensure you have a comprehensive understanding of SQL.
What is SQL?
SQL stands for Structured Query Language. It is a powerful tool used for handling and manipulating relational databases and provides a standardized way to interact with databases and perform various operations such as querying, updating, and managing data. In this article, you will explore and compare some important SQL topics, highlighting their differences and helping you understand their unique characteristics. Let’s go into these SQL concepts and enhance our knowledge of this important language.
List of “Difference Between” SQL Topics
The list of all the important difference between SQL topics is provided below:
- Difference Between SQL And MySQL
- Difference between SQL and NoSQL
- Difference between MySQL and MS SQL Server
- difference between primary key and unique key
- Difference between Primary Key and Foreign Key
- Difference between Primary key and Super key
- Where vs Having in SQL
- Difference between Where and Group By
- Difference between Having clause and Group by clause
- Difference between order by and group by clause in SQL
- Difference between = and IN operators in SQL
- SQL – Difference between != and <> Operator used for NOT EQUAL TO Operation
- Difference between Structured Query Language (SQL) and Transact-SQL (T-SQL)
- Distinct vs ORDER BY
- Difference between ALTER and UPDATE Command in SQL
- IN vs EXISTS in SQL
- Difference Between DROP and Truncate in SQL
- Difference between DELETE, DROP and TRUNCATE
- Difference between DELETE and TRUNCATE
- Difference between DELETE and DROP in SQL
- Difference Between JOIN, IN and EXISTS Clause in SQL
- Difference between COMMIT and ROLLBACK in SQL
- Difference between Couchbase and MS SQL Server
- Difference between SQL and PLSQL
- Comparisons between Oracle vs SQL Server
- Difference between SQL and T-SQL
- SQL vs MySQL
- Difference between DBMS and SQL
- Difference between SQL and HiveQL
- Differences between SQL and SQLite
- Difference between T-SQL and PL-SQL
- Difference between Simple and Complex View in SQL
- Difference between Relational database and NoSQL
- Difference between MySQL and PostgreSQL
- Difference between SQLite and PostgreSQL
- Difference between MS SQL Server and PostgreSQL
- Difference between Where and Having Clause in SQL
- Difference between Simple and Complex View in SQL
- Compare and Find Differences Between Two Tables in SQL
- SQL | ALL and ANY
- Difference Between View and Table
- Compare SQL Server Results of Two Queries
- Difference between JOIN and UNION in SQL
- Difference Between MySQL and MariaDB
- Difference between MySQL and IBM Db2
- MongoDB vs MySQL
- Difference between View and Cursor in SQL
Also Check: SQL Interview Questions
By grasping these distinctions, students can make informed decisions about selecting the most appropriate database system for their specific requirements. Additionally, familiarity with the differences in SQL implementations enables developers to optimize query performance, ensure compatibility with programming languages, and enhance overall database management efficiency. Stay informed, keep exploring, and leverage the power of SQL to unlock the full potential of your data-driven applications.
Frequently Asked Questions
Q1. What are the different types of SQL statements?
Answer:
SQL statements can be categorized into several types, including :
- Data Manipulation Language (DML) statements: SELECT, INSERT, UPDATE, DELETE.
- Data Definition Language (DDL) statements: CREATE, ALTER, DROP, TRUNCATE.
- Data Control Language (DCL) statements: GRANT, REVOKE.
- Transaction Control Language (TCL) statements: COMMIT, ROLLBACK, SAVEPOINT.
Q2. What is the difference between the WHERE and HAVING clauses in SQL?
Answer:
The main difference between WHERE and HAVING clauses in SQL is: The WHERE clause is used to filter rows based on condition SELECT, DELETE, and UPDATE statements. Wherever The HAVING clause is used to filter groups of rows based on a condition in a SELECT statement that includes the GROUP BY clause.
Q3. What is the difference between a view and a table in SQL?
Answer:
A table is a physical structure that stores data, while View is a virtual table that is derived from one or more tables, it does not store data itself but provide a dynamic representation of data based on the table.
Q.4 Difference between DBMS and RDBMS.
Answer:
DBMS applications store data as a file.
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RDBMS applications store data in a table form.
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Data can be stored in either a hierarchical form or a navigational form.
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data is stored in the tables, where the table has its identifier called the primary key.
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Normalisation is not present in DBMS.
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Normalisation is present in RDBMS.
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Does not apply any security with regard to data.
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RDBMS works on ACID (Atomicity, Consistency, Isolation, and Durability) properties.
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