PostgreSQL to MySQL Converter - Free Online Tool 2025

Migrating from PostgreSQL to MySQL is a common need for developers and businesses seeking different performance characteristics, toolsets, or cloud support. However, a direct migration is rarely straightforward—syntax differences, data type mismatches, and feature incompatibilities can quickly turn a simple project into a time-consuming headache. Manual conversion means combing through code line-by-line, risking costly errors and downtime. AI2sql eliminates these hurdles by generating MySQL-ready queries from plain English, supporting seamless, error-free conversions for all your PostgreSQL to MySQL migration projects.

PostgreSQL to MySQL Migration Overview

Switching between PostgreSQL and MySQL is the most common open-source migration. Developers often want to leverage MySQL’s integration with legacy applications or lightweight deployments. The main challenge is reconciling differences in SQL dialect, datatypes, and built-in functions.

• PostgreSQL offers greater standards compliance and advanced SQL features

• MySQL prioritizes speed, simplicity, and broad web hosting support

Efficient migration requires identifying and converting key syntax and schema differences with precision.

Key Syntax Differences: PostgreSQL vs MySQL

Below is a summary of commonly encountered PostgreSQL and MySQL syntax divergences:

Data Type Mapping Guide

Certain PostgreSQL data types lack a direct MySQL equivalent. Here’s a reference for accurate data type mapping:

Common Conversion Challenges

When converting PostgreSQL to MySQL, teams often face:

• Syntax incompatibilities (e.g., array support, functions)

• Missing data types (PostgreSQL JSONB, HSTORE)

• Constraint and index differences

• Stored procedure rewrite needs

• Error-prone manual rewriting of large schemas and queries

AI2sql bridges these gaps, minimizing human error and accelerating PostgreSQL to MySQL migration dramatically. See the AI2sql platform for more details.

Step-by-Step Migration Process

1. Audit the Current PostgreSQL Schema

Export the schema and list of dependent objects (tables, views, triggers, functions).

2. Map Data Types and Features

Use data type mapping above to plan equivalent structures in MySQL.

3. Convert DDL and DML Statements

Rewrite CREATE TABLE, INSERT, UPDATE, and SELECT statements for MySQL’s syntax.

4. Migrate Data

Export data using tools (e.g. pg_dump) and import with LOAD DATA or other strategies tailored to MySQL.

5. Validate and Optimize

Test application-level interactions and validate data and performance. Adjust indexes and queries for MySQL’s optimizer.

AI2sql: Generate MySQL Queries from Natural Language

Skip manual migration hassles: Use AI2sql to instantly translate your PostgreSQL logic to MySQL queries. Input your natural-language need—AI2sql delivers production-ready MySQL code, eliminating syntax guesswork and reducing the risk of conversion errors. Perfect for developers, DBAs, and data engineers who value speed and accuracy.

PostgreSQL to MySQL Conversion Examples

Troubleshooting Common Conversion Errors

• Syntax errors: Double-check function usage, identifier quoting (" vs `), and reserved words.

• Data truncation: Ensure data types map correctly, especially with string/text or datetime values.

• Feature loss: PostgreSQL features like partial indexes or specific operators may require redesign.

• Constraint conversion: Not all CHECK or UNIQUE constraints map 1:1; review and implement with MySQL’s support.

Regularly test conversion output in a staging MySQL environment to catch and address issues early.

Performance Optimization Tips for MySQL

• Use appropriate indexes; PostgreSQL indexing features may not map directly—review MySQL’s index best practices.

• Update queries to leverage MySQL’s optimizer (e.g., limit subqueries, use JOINs appropriately).

• Configure MySQL’s buffer and cache settings for large data workloads previously handled by PostgreSQL.

• Test and profile queries after conversion; MySQL’s EXPLAIN may reveal new optimization opportunities.

Skip manual conversion - Generate MySQL queries instantly with AI2sql using natural language.

Why Use AI2sql for PostgreSQL to MySQL Migration?

• Supports all major SQL databases (PostgreSQL, MySQL, SQL Server, Oracle, and more)

• No syntax knowledge required—input requirements in plain English

• Error-free conversions, removing risks of manual rewrite

• Instant results—optimize and deploy to MySQL faster

• Used by 50,000+ developers worldwide

• Enterprise-grade accuracy and schema support

Explore Related Resources

• Try AI2sql MySQL Generator

• MySQL SQL Tutorial

• PostgreSQL Migration Tools

Conclusion: Modernize PostgreSQL to MySQL Conversion

Efficiently migrating from PostgreSQL to MySQL ensures your applications stay agile, compatible, and optimized for new workloads. Manual conversion is error-prone and slow—let AI2sql automate the process. Experience instant, accurate SQL query generation for any MySQL environment and eliminate the complexities of syntax mapping, data type conversion, and legacy issues. Try AI2sql Free - Generate MySQL Queries from Plain English and power your next PostgreSQL to MySQL migration with confidence.