Preamble
PostgreSQL Comparison Operators are used in the WHERE sentence to determine which entries to choose. Here is a list of comparison statements that you can use in PostgreSQL :
|
Comparison operators
|
Description
|
|---|---|
|
=
|
Equally
|
|
<>
|
Does not matter
|
|
!=
|
Does not matter
|
|
>
|
More than
|
|
>=
|
More or equal
|
|
<
|
Less than
|
|
<=
|
Less or equal
|
|
IN ()
|
Corresponds to the value in the list
|
|
NOT
|
Denies condition
|
|
BETWEEN
|
Within range (inclusive)
|
|
IS NULL
|
value NULL
|
|
NOT NULL
|
Not NULL value
|
|
LIKE
|
Comparison with % and _ pattern
|
|
EXISTS
|
Condition fulfilled if the subquery returns at least one line
|
Consider comparison operators that you can use in PostgreSQL.
Example – operator =
In PostgreSQL, you can use the = operator to check for equality in a query.
For example, you can use an = operator:
SELECT *
FROM empls
WHERE first_name = 'Frog';
In this example, the SELECT statement above returns all rows from the employee table, where first_name equals Frog.
Example – operator =
There are two ways to check inequality in PostgreSQL. You can use the <> or != operator.
For example, we can check for inequality using the <> operator in the following way :
In this example, the SELECT operator above returns all rows from the employee table, where first_name equals Frog.
An example is the – operator
There are two ways to check inequality in PostgreSQL. You can use the <> or != operator.
For example, we can check for inequality using the <> operator in the following way :
SELECT *
FROM empls
WHERE first_name <> 'Frog';
In this example, the SELECT statement returns all rows from the employee table where first_name does not equally Frog.
Or you can also write this query using the != operator as shown below :
SELECT *
FROM empls
WHERE first_name != 'Frog';
Both these requests will return the same results.
Example – operator =
You can use the > operator in PostgreSQL to check the expression for more than that.
SELECT *
FROM products
WHERE product_id > 50;
In this example, the SELECT operator will return all rows from the products table where product_id is over 50. a product_id equal to 50 will not be included in the result set.
Example – the <= operator
In PostgreSQL, you can use the >= operator to check whether the expression is larger or equal.
SELECT *
FROM products
WHERE product_id >= 50;
In this example, the SELECT operator will return all rows from the products table where product_id is greater than or equal to 50. In this case, a product_id equal to 50 will be included in the result set.
The example is the operator <
You can use the < statement in PostgreSQL to check the expressionless.
SELECT *
FROM inventory
WHERE inventory_id < 25;
In this example, the SELECT operator will return all rows from the inventory table where inventory_id is less than 25. An inventory_id value of 25 will not be included in the result set.
Example – operator <
In PostgreSQL, you can use the <= operator to test an expression that is less than or equal.
SELECT *
FROM inventory
WHERE inventory_id <= 25;
In this example, the SELECT operator will return all rows from the inventory table where inventory_id is less than or equal to 25. In this case, n inventory_id value 25 will be included in the result set.
PostgreSQL: Comparison Operators | Course
About Enteros
IT organizations routinely spend days and weeks troubleshooting production database performance issues across multitudes of critical business systems. Fast and reliable resolution of database performance problems by Enteros enables businesses to generate and save millions of direct revenue, minimize waste of employees’ productivity, reduce the number of licenses, servers, and cloud resources and maximize the productivity of the application, database, and IT operations teams.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
How to Optimize Fashion Sector Growth with Enteros Database Management, AI SQL, Root Cause Analysis, and AIOps Platform
- 23 April 2026
- Database Performance Management
Introduction The fashion sector is evolving rapidly in the era of digital transformation. From fast fashion and global eCommerce platforms to personalized shopping experiences and real-time inventory systems, fashion brands are becoming increasingly data-driven. Today’s fashion companies must manage vast product catalogs, dynamic pricing strategies, omnichannel sales, and ever-changing customer preferences—all while maintaining speed, agility, … Continue reading “How to Optimize Fashion Sector Growth with Enteros Database Management, AI SQL, Root Cause Analysis, and AIOps Platform”
How to Drive Financial Sector Performance with Enteros Database Management Platform and Cloud FinOps Efficiency
Introduction The financial sector is undergoing a massive digital transformation. From real-time payments and mobile banking to AI-driven fraud detection and personalized financial services, institutions are leveraging advanced technologies to stay competitive. However, this transformation brings increasing complexity in managing IT infrastructure, ensuring high system performance, and controlling cloud costs. Financial institutions must operate in … Continue reading “How to Drive Financial Sector Performance with Enteros Database Management Platform and Cloud FinOps Efficiency”
How to Optimize Healthcare Sector Growth Performance with Enteros Database Software, Cost Estimation, Cost Attribution, and RevOps Efficiency
- 22 April 2026
- Database Performance Management
Introduction The healthcare sector is rapidly evolving, driven by digital transformation, data-driven care delivery, telemedicine, and advanced analytics. Hospitals, clinics, and healthcare systems are increasingly dependent on robust IT infrastructures to manage patient data, streamline operations, and deliver high-quality care. However, this transformation introduces a fundamental challenge:how to scale healthcare services efficiently while maintaining system … Continue reading “How to Optimize Healthcare Sector Growth Performance with Enteros Database Software, Cost Estimation, Cost Attribution, and RevOps Efficiency”
How to Optimize eCommerce Growth with Enteros Database Management Platform, AIOps, Performance Management, and Cloud FinOps
Introduction The eCommerce sector has become one of the fastest-growing industries in the digital economy. With the rise of online shopping, mobile commerce, and global marketplaces, businesses are under constant pressure to deliver seamless, personalized, and high-performance digital experiences. However, scaling eCommerce operations is not just about increasing traffic or expanding product catalogs. It requires … Continue reading “How to Optimize eCommerce Growth with Enteros Database Management Platform, AIOps, Performance Management, and Cloud FinOps”