How to Choose an SQL Dialect for Your Project
SQL dialects share core syntax but differ in quoting, types, and functions. Picking one early avoids painful migrations. This guide compares the main options and helps you generate SQL that matches your database.
How Do MySQL, PostgreSQL, and SQL Server Differ?
MySQL is lightweight and ubiquitous, PostgreSQL has the richest types and features, and SQL Server is enterprise-oriented. They differ in identifier quoting (backticks vs double quotes vs brackets) and in some functions.
What Should You Consider When Choosing?
Consider scale, hosting, team familiarity, and required features. If you need advanced JSON, full-text, or strong type safety, PostgreSQL wins. For simple LAMP-style apps, MySQL is a fine default.
Why Does Identifier Quoting Matter?
Column names with spaces or reserved words must be quoted, and each dialect quotes differently. Getting this wrong produces valid-looking SQL that fails at the database.
How Do You Generate SQL for the Dialect You Picked?
Once you choose, generate statements that match it. Convert CSV into the correct dialect with the CSV to SQL converter, which adapts quoting keys, string style, and identifier wrapping per target.