SQL Operators

Operators in SQL are special symbols or keywords that allow you to perform operations on data stored in a database. In simple terms, SQL operators tell the database what operation to perform.

We use them in SQL queries to compare values, perform mathematical calculations, combine conditions, search for specific patterns, and filter records.

For example, consider the following SQL query:

SELECT *
FROM Employees
WHERE Salary > 50000;

In this query, the > symbol is a comparison operator. It compares the value in the Salary column with 50000. The query returns only employees whose salary is greater than 50,000.

Why Are SQL Operators Important to Learn?


SQL operators are important to learn because they allow you to work with data in a meaningful and precise way. A database table may contain thousands or millions of records, but you usually do not want to retrieve or process every record.

Operators help you specify exactly what data you need and what operation SQL should perform. For example, one of the most common uses of operators in SQL is filtering data with conditions.

An e-commerce database may contain millions of products. You can use operators to find products that meet specific requirements:

SELECT *
FROM Products
WHERE Price < 1000;

The less than operator (<) filters the table and returns only products whose price is less than 1000. Without operators, filtering and analyzing database records would be much more difficult.

We can perform the following operations in the database by using operators in SQL:

  • Filter specific records.
  • Compare data values.
  • Perform calculations.
  • Combine multiple conditions.
  • Search for patterns in text.
  • Work with ranges of values.
  • Check for missing values.
  • Combine or compare query results.

Understanding operators is therefore an important step toward writing accurate, powerful, and practical queries.

Understanding Operators and Operands


An operator performs an action, while the values or expressions on which it performs that action are called operands. Let us do this condition:

Salary > 50000

This condition contains three important parts:

PartExampleMeaning
Left operandSalaryThe column value being checked
Operator>The comparison operation being performed
Right operand50000The constant reference value used for comparison

The greater than operator (>) checks whether the value of Salary is greater than 50000.

Types of SQL Operators


SQL provides different types of operators for performing various operations on data. They are:

  • Arithmetic operators
  • Comparison operators
  • Logical operators
  • Special operators
  • Set operators

Diagram showing types of SQL operators: arithmetic, comparison, logical, special, and set operators.

1. Arithmetic Operators

Arithmetic operators perform mathematical calculations on numeric values. In some SQL systems, arithmetic operators can also be used with interval or date/time values.

Operators: +, -, *, /, %

2. Comparison Operators

Comparison operators compare two expressions and return a Boolean result such as TRUE, FALSE, or UNKNOWN when three-valued logic applies.

Operators: =, <>, !=, <, >, <=, >=

Note: <> is the standard SQL operator for “not equal to”, while != is supported by many SQL database systems.

3. Logical Operators

Logical operators combine, negate, or modify conditions used in SQL expressions.

Operators: AND, OR, NOT

4. Special Operators

Special operators are commonly used for specific types of filtering and condition checking.

Operators: IN, BETWEEN, LIKE, IS NULL, EXISTS

5. Set Operators

Set operators combine the result sets of two or more compatible SELECT statements according to set-operation rules.

Operators: UNION, UNION ALL, INTERSECT, EXCEPT / MINUS

Important Note:

Operator availability and syntax can vary across Relational Database Management Systems (RDBMS) such as MySQL, PostgreSQL, SQL Server, and Oracle. System-specific differences are highlighted where applicable.

DEEPAK GUPTA

DEEPAK GUPTA

Deepak Gupta is the Founder of Scientech Easy, a Full Stack Developer, and a passionate coding educator with 8+ years of professional experience in Java, Python, web development, and core computer science subjects. With strong expertise in full-stack development, he provides hands-on training in programming languages and in-demand technologies at the Scientech Easy Institute, Dhanbad.

He regularly publishes in-depth tutorials, practical coding examples, and high-quality learning resources for both beginners and working professionals. Every article is carefully researched, technically reviewed, and regularly updated to ensure accuracy, clarity, and real-world relevance, helping learners build job-ready skills with confidence.