List of “Difference Between” Important SQL Topics

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:

1. Difference Between SQL And MySQL
2. Difference between SQL and NoSQL
3. Difference between MySQL and MS SQL Server
4. difference between primary key and unique key
5. Difference between Primary Key and Foreign Key
6. Difference between Primary key and Super key
7. Where vs Having in SQL
8. Difference between Where and Group By
9. Difference between Having clause and Group by clause
10. Difference between order by and group by clause in SQL
11. Difference between = and IN operators in SQL
12. SQL – Difference between != and <> Operator used for NOT EQUAL TO Operation
13. Difference between Structured Query Language (SQL) and Transact-SQL (T-SQL)
14. Distinct vs ORDER BY
15. Difference between ALTER and UPDATE Command in SQL
16. IN vs EXISTS in SQL
17. Difference Between DROP and Truncate in SQL
18. Difference between DELETE, DROP and TRUNCATE
19. Difference between DELETE and TRUNCATE
20. Difference between DELETE and DROP in SQL
21. Difference Between JOIN, IN and EXISTS Clause in SQL
22. Difference between COMMIT and ROLLBACK in SQL
23. Difference between Couchbase and MS SQL Server
24. Difference between SQL and PLSQL
25. Comparisons between Oracle vs SQL Server
26. Difference between SQL and T-SQL
27. SQL vs MySQL
28. Difference between DBMS and SQL
29. Difference between SQL and HiveQL
30. Differences between SQL and SQLite
31. Difference between T-SQL and PL-SQL
32. Difference between Simple and Complex View in SQL
33. Difference between Relational database and NoSQL
34. Difference between MySQL and PostgreSQL
35. Difference between SQLite and PostgreSQL
36. Difference between MS SQL Server and PostgreSQL
37. Difference between Where and Having Clause in SQL
38. Difference between Simple and Complex View in SQL
39. Compare and Find Differences Between Two Tables in SQL
40. SQL | ALL and ANY
41. Difference Between View and Table
42. Compare SQL Server Results of Two Queries
43. Difference between JOIN and UNION in SQL
44. Difference Between MySQL and MariaDB
45. Difference between MySQL and IBM Db2
46. MongoDB vs MySQL
47. Difference between View and Cursor in SQL

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	RDBMS
DBMS applications store data as a file.	RDBMS applications store data in a table form.
Data can be stored in either a hierarchical form or a navigational form.	data is stored in the tables, where the table has its identifier called the primary key.
Normalisation is not present in DBMS.	Normalisation is present in RDBMS.
Does not apply any security with regard to data.	RDBMS works on ACID (Atomicity, Consistency, Isolation, and Durability) properties.