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SQL Dialect Bridge

· Last updated：2026-08-08

Translate SQL between MySQL, PostgreSQL, SQLite, BigQuery, Snowflake, and Redshift — DDL, DML, functions and types, with UNSUPPORTED warnings

Details

What this tool helps you do

Rule-based SQL dialect translator. Covers auto-increment keys (AUTOINCREMENT↔SERIAL↔IDENTITY), row limits (LIMIT↔FETCH FIRST), string aggregation (GROUPCONCAT↔STRINGAGG↔LISTAGG), date functions (DATEDIFF↔DATEDIFF↔EXTRACT), type mapping (TEXT↔VARCHAR↔STRING) and per-dialect functions. Constructs that cannot be translated mechanically are flagged UNSUPPORTED for manual review. Pure local, deterministic, no AI.

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Written by the Elysia Tools team

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category
Development
Input types
textarea, select, checkbox
Output type
html
Sample coverage
4
API ready
Yes

Overview

SQL Dialect Bridge translates SQL between MySQL, PostgreSQL, SQLite, BigQuery, Snowflake, and Redshift. Convert DDL, DML, functions, limits, and data types with rule-based results and UNSUPPORTED warnings for syntax that needs manual review.

When to use

  • Convert SQL during a database migration between supported dialects.
  • Rewrite dialect-specific functions, types, limits, or auto-increment definitions.
  • Review a translated query for constructs that cannot be converted mechanically.

How it works

  1. 1Paste the source SQL into the input field.
  2. 2Select the source and target dialect from the supported database options.
  3. 3Choose whether to preserve the original formatting.
  4. 4Review the translated SQL and any UNSUPPORTED warnings in the HTML result.

Use cases

  • Convert MySQL table definitions and queries to PostgreSQL syntax.
  • Adapt PostgreSQL queries for BigQuery while reviewing unsupported expressions.
  • Map functions and data types when comparing or migrating supported SQL databases.

Examples

1. MySQL view to PostgreSQL

Database engineer

Background

A database engineer is moving a MySQL schema and reporting query to PostgreSQL.

Problem

The SQL uses AUTO_INCREMENT, GROUP_CONCAT with a separator, and LIMIT syntax that need PostgreSQL equivalents.

How to use

Paste the SQL, select MySQL as the source dialect, select PostgreSQL as the target dialect, and keep Preserve formatting enabled.

Source: MySQL; Target: PostgreSQL; Preserve formatting: enabled

Outcome

The result applies supported PostgreSQL mappings for the auto-increment definition, string aggregation, and row limit.

2. PostgreSQL query to BigQuery

Analytics developer

Background

An analytics developer needs to adapt a PostgreSQL query for BigQuery.

Problem

The query contains a type conversion and a row limit written with FETCH FIRST syntax.

How to use

Paste the query, choose PostgreSQL as the source dialect and BigQuery as the target dialect, then inspect the translated HTML result.

FAQ

Which SQL dialects are supported?

The tool supports MySQL, PostgreSQL, SQLite, BigQuery, Snowflake, and Redshift.

What SQL can it translate?

It translates supported DDL, DML, functions, types, row limits, string aggregation, date expressions, and auto-increment syntax.

Does it translate every SQL statement automatically?

No. Constructs without a mechanical translation are marked UNSUPPORTED for manual review.

Can I preserve the source formatting?

Yes. Enable the Preserve formatting option before translating the SQL.

Does the tool use AI?

No. It uses local, deterministic, rule-based translation.

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