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Convert PostgreSQL to MySQL Online Free - TestMu AI (Formerly LambdaTest)

Convert PostgreSQL to MySQL in seconds. Paste Postgres DDL or queries and get clean MySQL syntax, with data types, functions, and operators mapped correctly and every change explained.

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Select Target Database:

PostgreSQL Query

MySQL Query

What is PostgreSQL to MySQL?

PostgreSQL to MySQL is the process of translating database code written in PostgreSQL into equivalent MySQL syntax. A PostgreSQL to MySQL converter rewrites the data types, functions, and operators that differ between the two databases, so a Postgres CREATE TABLE or SELECT statement runs correctly on MySQL without manual edits.

PostgreSQL and MySQL share standard SQL but diverge in their dialects. PostgreSQL uses SERIAL, a native BOOLEAN, the || concatenation operator, and double-quoted identifiers, while MySQL expects AUTO_INCREMENT, TINYINT(1), CONCAT(), and backticks. This converter handles those differences for you.

How to use the PostgreSQL to MySQL converter?

Converting a Postgres query or schema to MySQL takes only a few seconds and needs no installation. Follow these steps:

  • Paste your PostgreSQL code: Paste a Postgres query or DDL statement, such as a CREATE TABLE, into the input panel, or upload a .sql or .txt file.
  • Keep MySQL as the target: MySQL is selected as the target dialect by default, so the converter knows which syntax, data types, and functions to translate your Postgres input into.
  • Convert to MySQL: Click Convert. The tool rewrites Postgres-specific syntax, mapping SERIAL to AUTO_INCREMENT, BOOLEAN to TINYINT(1), and the || operator to CONCAT().
  • Review and copy the MySQL output: Read the explanation of each change, then copy or download the MySQL output and run it against your database to confirm it matches.

Difference between PostgreSQL and MySQL

Knowing how the two dialects differ explains what the converter changes. PostgreSQL is a feature-rich, standards-leaning database, while MySQL favors simplicity and wide hosting support. The table below sums up the differences that matter most during conversion:

AspectPostgreSQLMySQL
Auto-increment keySERIAL and BIGSERIALINT or BIGINT with AUTO_INCREMENT
Boolean typeNative BOOLEAN with TRUE and FALSETINYINT(1) using 1 and 0
String concatenationThe || operatorThe CONCAT() function
Identifier quotingDouble quotes around identifiersBackticks around identifiers
Timestamps and JSONTIMESTAMP, native arrays, and JSONBDATETIME and JSON, with no array type
PaginationLIMIT with OFFSETLIMIT with offset, count syntax

Features of the PostgreSQL to MySQL converter

As a tool, the PostgreSQL to MySQL converter offers a few capabilities that make migrating between dialects effortless. Here are the features of our converter:

  • Data Type Mapping: SERIAL becomes AUTO_INCREMENT, BOOLEAN becomes TINYINT(1), and TIMESTAMP becomes DATETIME, so column types match MySQL.
  • DDL and Query Support: CREATE TABLE statements, SELECT, INSERT, and joins are all translated, covering both your schema and your queries.
  • Operator and Function Rewrites: The || concatenation operator becomes CONCAT() and Postgres-only functions are mapped to their MySQL equivalents.
  • Identifier Handling: Double-quoted Postgres identifiers are rewritten with MySQL backticks to avoid quoting errors after migration.
  • Change Explanations: Each conversion includes a clear breakdown of what changed and why, so you understand the MySQL output.
  • No Signup Needed: The tool is free with no login, and you can upload a .sql file or paste code directly to convert it.

Use cases of the PostgreSQL to MySQL converter

Converting Postgres to MySQL is useful any time you move workloads, share schemas, or test across databases. The converter speeds up each of these workflows:

  • Database Migration: Move a schema from PostgreSQL to MySQL by converting CREATE TABLE DDL and seed queries in one place rather than rewriting them by hand.
  • Cross-Database Development: Run the same logic on a MySQL host, then pair it with the SQL Beautifier to format the converted output cleanly.
  • Data Import and Export: Prepare MySQL-ready statements, and use the CSV to SQL or JSON to SQL tools to generate inserts from raw data.
  • QA and Test Data: Build MySQL fixtures for test suites, then export results with SQL to CSV or SQL to JSON for assertions.
  • Learning the Dialects: Compare a Postgres statement with its MySQL output side by side to learn how data types and functions differ between the two databases.

This converter is maintained by TestMu AI (formerly LambdaTest), the team behind a unified testing platform, so it is shaped by the same focus on reliable data and schemas that QA engineers depend on. Your query is sent over a secure API only to generate the conversion and is not stored on our servers afterward.

Frequently Asked Questions (FAQs)

What is a PostgreSQL to MySQL converter?

A PostgreSQL to MySQL converter translates code written in PostgreSQL into equivalent MySQL syntax. It rewrites data types, functions, and operators that differ between the two databases, so a Postgres CREATE TABLE or SELECT statement runs correctly on MySQL.

Is the PostgreSQL to MySQL converter free to use?

Yes, the PostgreSQL to MySQL converter is free with no signup or login required. You can run up to 20 conversions per day. The tool is maintained by TestMu AI (formerly LambdaTest), the team behind a unified testing platform.

How does SERIAL map to MySQL?

PostgreSQL SERIAL and BIGSERIAL become INT AUTO_INCREMENT and BIGINT AUTO_INCREMENT in MySQL. Because MySQL requires an AUTO_INCREMENT column to be part of a key, the converter keeps it tied to the primary key from your Postgres definition.

How are PostgreSQL boolean values converted?

PostgreSQL has a native BOOLEAN type with TRUE and FALSE literals. MySQL stores booleans as TINYINT(1) using 1 and 0. The converter maps the BOOLEAN column to TINYINT(1) and rewrites TRUE and FALSE to 1 and 0 where needed.

Does it handle PostgreSQL data types without a MySQL equivalent?

Yes. Types like arrays and JSONB have no direct MySQL match, so the converter maps arrays to JSON or a comma-separated column and JSONB to MySQL JSON, then notes the change in the explanation so you can adjust the schema if needed.

Are quotes and string concatenation converted too?

Yes. Double-quoted PostgreSQL identifiers are rewritten with MySQL backticks, and the Postgres concatenation operator || is converted to the MySQL CONCAT() function, so string expressions behave the same after migration.

Can I convert full schemas and CREATE TABLE statements?

Yes. The converter handles DDL such as CREATE TABLE along with SELECT, INSERT, and other statements. It maps column types, default values, and constraints to MySQL so the resulting schema matches your original Postgres structure.

Is my SQL data uploaded to a server?

Your query is sent over a secure API call only to generate the conversion and is not stored on our servers. Nothing is saved after the result returns, so you can convert schemas and queries without keeping your SQL on file.

Will the converted MySQL query always run as is?

The converter handles the common syntax and type differences accurately, but very database-specific features may need a manual review. Always read the explanation and test the MySQL output against your database before using it in production.

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