Preamble
PostgreSQL BETWEEN condition is used to obtain values in the range in SELECT, INSERT, UPDATE, or DELETE operator.
The syntax for BETWEEN condition in PostgreSQL
expression BETWEEN value1_id AND value2_id;
Parameters and arguments of the condition
- expression – Column or calculation.
- value1_id and value2_id – These values create an inclusive range with which the expression is compared.
Note:
- PostgreSQL condition BETWEEN will return records where expression is in the value1 and value2 ranges (inclusive).
Example BETWEEN condition with numbers
Consider some examples of PostgreSQL BETWEEN conditions using numeric values. In the following example, the BETWEEN condition is used to obtain values within a numeric range.
For example:
SELECT *
FROM empls
WHERE empl_id BETWEEN 500 AND 600;
In this example, all rows from the employee_id table will be returned, where employee_id is between 500 and 600 (inclusive). This is equivalent to the next SELECT operator :
SELECT *
FROM empls
WHERE empl_id >= 500
AND empl_id <= 600;
Example BETWEEN condition with dates
Now let’s see how you will use the PostgreSQL condition BETWEEN with dates.
In the following example, the BETWEEN condition is used to obtain values within a date range.
For example:
SELECT *
FROM empls
WHERE start_date BETWEEN '2019-04-01' AND '2019-04-30';
In this example, the BETWEEN condition will return all entries from the table where start_date is from April 1, 2019 to April 30, 2019 (inclusive). This would be equivalent to the next SELECT query:
SELECT *
FROM empls
WHERE start_date >= '01.04.2019'
AND start_date <= '30.04.2019';
Example of a condition using the NOT operator
PostgreSQL condition BETWEEN can also be combined with NOT operator. Here is an example of how you could combine a BETWEEN condition with the NOT operator.
For example:
SELECT *
FROM empls
WHERE empl_id NOT BETWEEN 700 AND 799;
This PostgreSQL example BETWEEN would return all rows from the employee table where employee_id is not between 700 and 799 inclusive. This would be equivalent to the next SELECT operator:
SELECT *
FROM empls
WHERE empl_id < 700
OR empl_id > 799;
PostgreSQL Tutorial for Beginners PostgreSQL BETWEEN Condition
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 Modern Financial Institutions Improve Data Infrastructure with Intelligent Database Analytics
- 6 May 2026
- Database Performance Management
The financial services industry has rapidly evolved into a highly digital and data-driven ecosystem. Modern financial institutions—including banks, fintech companies, and payment providers—depend heavily on data infrastructure to power services such as digital banking, mobile payments, fraud detection, algorithmic trading, and customer analytics. Every interaction within these platforms generates data that must be processed, analyzed, … Continue reading “How Modern Financial Institutions Improve Data Infrastructure with Intelligent Database Analytics”
How to Transform Media Sector Performance with Enteros Cost Estimation, Cost Attribution, and RevOps Efficiency
Introduction The media sector is experiencing a rapid transformation driven by digital platforms, streaming services, real-time content delivery, and data-driven audience engagement. From OTT platforms and digital publishing to live broadcasting and advertising ecosystems, media organizations must operate at scale while delivering high-quality, personalized experiences. However, this evolution comes with significant challenges. Massive volumes of … Continue reading “How to Transform Media Sector Performance with Enteros Cost Estimation, Cost Attribution, and RevOps Efficiency”
Building Resilient Financial Data Platforms with AI-Driven Database Analytics
Financial institutions are experiencing an unprecedented wave of digital transformation. From mobile banking and digital wallets to real-time payments and algorithmic trading, modern financial services rely heavily on high-performing and resilient data platforms. At the heart of these platforms lies the database infrastructure that powers transactions, customer interactions, and data-driven decision-making. However, as financial platforms … Continue reading “Building Resilient Financial Data Platforms with AI-Driven Database Analytics”
How to Drive Manufacturing Sector Growth with Enteros Database Software, AIOps, Cloud FinOps, and RevOps Alignment
Introduction The manufacturing sector is undergoing a profound transformation fueled by Industry 4.0, smart factories, IoT-enabled production lines, and data-driven decision-making. Modern manufacturers are no longer just focused on production—they are building intelligent ecosystems that integrate operations, supply chains, and customer experiences. However, as manufacturing becomes increasingly digitized, organizations face growing challenges. Massive volumes of … Continue reading “How to Drive Manufacturing Sector Growth with Enteros Database Software, AIOps, Cloud FinOps, and RevOps Alignment”