{"id":107890,"date":"2025-12-02T16:07:23","date_gmt":"2025-12-02T16:07:23","guid":{"rendered":"https:\/\/www.red-gate.com\/simple-talk\/?p=107890"},"modified":"2025-12-08T15:56:57","modified_gmt":"2025-12-08T15:56:57","slug":"mysql-vs-postgresql-json-data-type","status":"publish","type":"post","link":"https:\/\/www.red-gate.com\/simple-talk\/databases\/mysql-vs-postgresql-json-data-type\/","title":{"rendered":"MySQL vs PostgreSQL: JSON Data Types"},"content":{"rendered":"\n

In this article, the latest in the MySQL vs PostgreSQL series<\/a>, we’ll compare how they each handle JSON (JavaScript Object Notation)<\/a><\/strong> data, how they store, query, and manage it, and which offers more flexibility or better performance depending on your needs.<\/strong><\/p>\n\n\n\n

MySQL<\/a> and PostgreSQL<\/a> are two of the most popular relational database systems in the world. Both are open-source, widely used in web and enterprise applications, and support structured data<\/a> in tables.<\/p>\n\n\n\n

Modern applications, however, often work with semi-structured data<\/a> that doesn\u2019t always neatly fit into tables with rows and columns. This type of data gets its name because it still has some organization but doesn\u2019t follow a strict format.<\/p>\n\n\n\n

JSON (JavaScript Object Notation)<\/a> is a popular way to store and share this kind of data. It\u2019s a text format easy for both people and computers to understand.<\/p>\n\n\n\n

Because of its simplicity, JSON is widely used in web applications, APIs<\/a>, and databases to store and transfer data efficiently. Here’s an example of what JSON data typically looks like:<\/p>\n\n\n\n

{\n\n  \"name\": \"Aisha\",\n\n  \"age\": 10,\n\n  \"email\": \"aisha@simpletalk.com\"\n\n}<\/pre><\/div>\n\n\n\n
JSON Support in Databases<\/h2>\n\n\n\n
Modern web and mobile apps often share data using JSON through APIs. Storing JSON<\/a> in a database makes it easier to handle flexible and changing data and, unlike regular tables, it can store nested information, which is useful for complex data.<\/p>\n\n\n\n
It’s also great for data that changes often or has unpredictable fields. Instead of changing the database structure, developers can just update the JSON data, making development faster and more flexible.<\/p>\n\n\n\n
As applications grow more dynamic, especially with APIs, web services and mobile apps, the need to store and process JSON data inside a database has become increasingly important.<\/p>\n\n\n\n
JSON Support in MySQL, Explained<\/h2>\n\n\n\n
MySQL introduced support<\/a> for the JSON data type in version 5.7<\/a>. Before this, JSON had to be stored as plain text, which made it harder to query or validate. The native support of the JSON data type allows developers to store structured JSON data<\/a> in a column and work with it more easily and efficiently.<\/p>\n\n\n\n
When you insert JSON into a JSON column, MySQL stores it in a special binary format, not as plain text. This format allows for faster access and better performance when querying specific parts of the JSON document.<\/p>\n\n\n\n
MySQL also allows you to create indexes<\/a> on virtual columns derived from JSON values, but you can\u2019t directly index the entire JSON object.<\/p>\n\n\n\n
When you store JSON in MySQL, the engine uses a compact binary format under the hood, but the overall disk usage ends up being very close to what you\u2019d need if you saved the same text as LONGTEXT<\/code>. Here\u2019s what to expect:<\/p>\n\n\n
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