In this PostgreSQL tutorial, I will show you the Postgres timestamp comparison to compare the timestamp values. Additionally, you will learn how to compare timestamps using different real-world examples with different operators and functions.
Postgres Timestamp Comparison
Timestamps in the PostgreSQL database represent the date and time. They play a vital role in database management when you need to record changes to the data, perform time-based analysis, or track specific events.
PostgreSQL provides a data type called timestamp to store timestamp values in the column of a table, which is a combination of date and time. Additionally, PostgreSQL offers various kinds of operators or functions to compare timestamp values.
Operators and functions for comparing timestamps are given below in the table:
| Operators Or Functions | Meaning |
| > | To check if a timestamp is less than the other |
| < | To check if a timestamp is less than another |
| >= | To check if a timestamp is greater than or equal to another |
| <= | To check if a timestamp is greater than the other |
| = | To check if two timestamps are equal |
| != | To check if two timestamps are not equal |
| – | It is an interval operator to find the difference between timestamps, such as timestamp_1 – timestamp2. |
| age() | It is a function that computes the difference between timestamps and gives the result as an interval |
| Between And | To find the range of timestamps |
Let’s see, with a practical example, how to compare timestamps using operators and functions.
Suppose you are a frontend and backend developer developing a scheduling app, and you have a task to write a query that determines if any event is in the future or has already passed. The events table is shown below.

Now, use the query below to check if the event is upcoming or has already passed.
SELECT event_name, event_time
FROM events
WHERE event_time > CURRENT_TIMESTAMP;
After executing the above query, I got the expected output as shown in the screenshot below.

The output of the above query displays the upcoming event name along with its timestamp (date and time). At line 3 within the WHERE clause, the greater than (>) operator is used to compare the timestamp value within column event_time with the CURRENT_TIMESTAMP (this retrieves the current date and time).
Take one more example, you work at a company that has a social site, and you have the task of tracking the latest changes to the user profiles. You need to find the user who has updated their profile in the last six months. The user_profiles table is shown below.

Use the below query to find the changes to the user profiles.
SELECT username, user_id, last_updated
FROM user_profiles
WHERE last_updated < CURRENT_TIMESTAMP - INTERVAL '6 months';
After executing the above query, I got the expected output as shown in the screenshot below.

The above query indicates that users Sebastian, Ezra, and Leo have updated their profiles within the last six months.
Now, look at line number 3, which compares the timestamp value of the column last_updated with six months ago from the current time. For comparing timestamps, the less than (<) operator is used.
The statement CURRENT_TIMESTAMP – INTERVAL ‘6 months’ represents the six months from the current date and time. This statement subtracts 6 months from the current timestamp and returns a new timestamp that represents the point in time exactly 6 months ago from the current time.
Approach 1: Using Age()
You are a database developer of an E-commerce website, and you have to create a query that can return the age of the products in inventory to prioritize restocking, so you will use the function age() to compute the age of the products based on the given manufacturing date of the products.
The products table is shown below.

Use the query below to calculate the age of the products.
SELECT product_name, manufacturing_date, age(manufacturing_date)
FROM products;
After executing the above query, I got the expected output as shown in the screenshot below.

In the above query, the function age() computes the age of the product based on the column manufacturing_date, as you can see in the output.
Approach 2: Using Between
Suppose you manage a retail store and have been tasked with analyzing the products restocked between July 1, 2023, and August 31, 2023. You have access to the table inventory, which is shown below.

Now, use the query below to analyze the product between July 1 and August 31, 2023.
SELECT restock_date, product_name, restock_quantity
FROM inventory
WHERE restock_date BETWEEN '2023-07-01' AND '2023-08-31';
After executing the above query, I got the expected output as shown in the screenshot below.

The above query returns the products that were restocked between July 1 and August 31, 2023, as shown in the output above.
The BETWEEN operator is used with AND to compare the timestamp value of the restock_date column. There are other operators or functions that you can use to compare timestamps according to your needs.
Best Practices
Here are the top recommendations:
- Be explicit with time zone handling: Always specify your time zone context, especially in multi-time zone applications.
- Use parameters instead of hardcoded timestamps: This enhances security and enables more effective query plan caching.
- Choose the right timestamp type upfront: Changing from TIMESTAMP to TIMESTAMPTZ. After your application is in production, it can be challenging.
- Implement appropriate indexing: For tables with millions of rows, proper timestamp indexing is non-negotiable.
- Standardize timestamp formats: Use ISO 8601 format (YYYY-MM-DD HH:MM:SS) for consistency.
Conclusion
In this PostgreSQL tutorial, you have covered how to compare timestamps in PostgreSQL with different operators and functions. Additionally, you learned how to use some of the operators and functions with real-world examples to compare timestamps.
You may also read:
- How to use PostgreSQL current_timestamp
- PostgreSQL difference between two timestamps
- PostgreSQL TO_TIMESTAMP function + Examples
I am Bijay having more than 15 years of experience in the Software Industry. During this time, I have worked on MariaDB and used it in a lot of projects. Most of our readers are from the United States, Canada, United Kingdom, Australia, New Zealand, etc.
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