In this post, we'll go over datatypes and syntaxes, as well as samples of some of the most commonly used data and time-related SQL functions, as well as timestamps and time zones.


Some data types in every database assist in the storage and manipulation of values relating to date and time, or both at the same time.

We also have six different data types in PostgreSQL for storing and manipulating dates and times in the database.

Many functionalities assist us in retrieving and managing them correctly and efficiently in accordance with use-case requirements and aims.

MySQL shows the DATETIME value in the following format when you query data from a DATETIME column:YYYY-MM-DD HH:MM:SS.


The next data type in PostgreSQL is TIMESTAMP, which can store both TIME and DATE values.

It does not, however, support time zone information.

And it means that when we change our database server's time zone, the timestamp value is saved in the database and cannot be changed again.

Without the use of a time zone, the TIMESTAMP data type is used.

SQL Difference Between TIMESTMP And DATETIME Datatype

Here , we discussed the main contrasts in timestamp & datetime datatype:-

DATETIME has a supported range of '1000-01-01 00:00:00' to '9999-12-31 23:59:59'. The TIMESTAMP value can be anywhere between 1970-01-01 00:00:01 UTC and 2038-01-19 03:14:07 UTC.
Prior to MySQL 5.6.4, DATETIME used 8 bytes to record the data (+3 bytes for fractional seconds). The data is stored in 4 bytes (+3 bytes for fractional seconds) by TIMESTAMP.
DATETIME does not convert anything. When you enter a TIMESTAMP value into a table, MySQL transforms it to UTC for storage from your connection's time zone.
DATETIME does not change. TIMESTAMP is not in sync with the current time zone.
DATETIME data isn't indexable. Data with a TIMESTAMP can be indexed.
DATETIME queries will not be cached. TIMESTAMP queries will be cached.
DATETIME require additional bytes for fractional seconds precision. For fractional seconds precision, TIMESTAMP requires extra bytes.
If you want to store temporal values that are beyond 2038, you should use DATETIME TIMESTAMP cannot be used to hold temporal values.