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 to Modernize Financial Infrastructure with Enteros AIOps Platform and Cloud FinOps Intelligence
- 12 March 2026
- Database Performance Management
Introduction The financial sector is undergoing a profound digital transformation. Banks, fintech platforms, payment networks, insurance providers, and investment firms increasingly rely on digital infrastructure to deliver services at scale. From real-time payments and digital banking to fraud detection and AI-driven financial analytics, modern financial institutions operate within highly complex data ecosystems. At the core … Continue reading “How to Modernize Financial Infrastructure with Enteros AIOps Platform and Cloud FinOps Intelligence”
How Healthcare Platforms Improve Cost Attribution with Enteros Database Management, GenAI, and Agentic AI
Introduction The healthcare industry is rapidly transforming through digital innovation. Hospitals, healthcare networks, pharmaceutical companies, and health technology platforms increasingly rely on advanced digital infrastructure to deliver efficient, data-driven care. Electronic health records, telemedicine platforms, medical imaging systems, insurance processing tools, and healthcare analytics platforms all depend on large-scale data environments. Behind these digital systems … Continue reading “How Healthcare Platforms Improve Cost Attribution with Enteros Database Management, GenAI, and Agentic AI”
What Drives Growth in Technology Platforms: Enteros AI SQL, Database Management, and Performance Metrics
- 11 March 2026
- Database Performance Management
Introduction Technology platforms have become the backbone of the modern digital economy. From SaaS products and cloud-native applications to AI-powered analytics and global digital marketplaces, technology enterprises rely on robust infrastructure to deliver reliable, scalable services to millions of users. At the center of these digital ecosystems lies one of the most critical components of … Continue reading “What Drives Growth in Technology Platforms: Enteros AI SQL, Database Management, and Performance Metrics”
How to Modernize Fashion Data Platforms with Enteros Database Management and Generative AI
Introduction The global fashion industry has transformed dramatically in the digital era. Once driven primarily by seasonal collections and physical retail, fashion brands today rely heavily on digital platforms, e-commerce marketplaces, data analytics, and AI-powered customer experiences. From trend forecasting and inventory management to real-time customer engagement, modern fashion businesses are powered by complex data … Continue reading “How to Modernize Fashion Data Platforms with Enteros Database Management and Generative AI”