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  1. MySQL Data Types - W3Schools

    The data type of a column defines what value the column can hold: integer, character, money, date and time, binary, and so on.

  2. MySQL :: MySQL 8.4 Reference Manual :: 13 Data Types

    MySQL supports SQL data types in several categories: numeric types, date and time types, string (character and byte) types, spatial types, and the JSON data type.

  3. MySQL Data Types

    This tutorial shows you various MySQL data types so that you can apply them effectively in designing your database tables.

  4. MySQL Data Types: Full List with Examples (2025) - Devart Blog

    Sep 17, 2021 · In this tutorial, we collect the FULL LIST of MySQL Data Types in 2025 ( String, Numeric, Dates, Spatial, JSON) Check for examples and useful tips!

  5. MySQL Data Types Explained | phoenixNAP KB

    Feb 5, 2024 · Knowing which different data types exist ensures each column gets an appropriate type assigned, leading to an optimized and error-free database. In this tutorial, you will learn …

  6. MySQL data types - A complete collection

    Discover storage size, description, permissible values and examples for all numeric, string, date and time MySQL data types with advanced calculators.

  7. MySQL Data Types | What Are Different Data Types In MySQL

    Apr 1, 2025 · Learn about different MySQL Data Types i.e. Numeric, String, Date data type, JSON, Boolean, etc. with examples.

  8. Chapter 13 Data Types - Oracle

    MySQL supports SQL data types in several categories: numeric types, date and time types, string (character and byte) types, spatial types, and the JSON data type.

  9. Understanding MySQL Data Types: A Complete Guide for Beginners

    Aug 20, 2025 · Today, we dive into the world of MySQL data types. You will learn what they are, how they work, and when should they be used. Start learning now!

  10. MySQL Data Types Explained – Complete Guide with Examples

    Jun 6, 2025 · Explore all MySQL data types including numeric, string, date, and spatial types. Learn how to use each one with examples and best practices for efficient database design.