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SQL Dialect Conversion

Migrate your SQL — automatically.

Stop rewriting stored procedures by hand. Our engine parses your T-SQL, PL/SQL, or DB2 scripts and emits syntactically correct PostgreSQL, CockroachDB, or MySQL — in seconds.

100% Automated

No manual rewriting. Paste your SQL script and receive converted, ready-to-run output in seconds.

Syntax-Aware Parser

Built on ANTLR 4. Understands stored procedures, functions, views, and dialect-specific constructs.

Semantically Correct

Translates functions, data types, and operators correctly — not just a find-and-replace.

How it works

01

Pick your dialects

Select your current database dialect as the source and your target platform.

02

Paste your SQL

Drop in a stored procedure, DDL script, or query — up to 100 lines in the demo.

03

Get converted SQL

Click Migrate and receive syntactically correct output for your target database.

Supported Conversions

From (Source)

  • T-SQL(SQL Server / Azure SQL)
  • PL/SQL(Oracle DB)
  • DB2 SQL(IBM DB2)
  • MySQL(MySQL 5–8)
  • MariaDB(MariaDB 10+)

To (Target)

  • PostgreSQL(PostgreSQL 13+)
  • CockroachDB(CockroachDB 22+)
  • T-SQL(SQL Server / Azure SQL)
  • PL/SQL(Oracle DB)

Proven in Production

Open-source projects generated by our engine

Ran our conversion tool against the OpenCart open-source shopping cart (PHP). Output: a fully functional JEE + React backend on GitHub.

Stack: React, EJB, JEE, H2, RESTful services — deployable on Wildfly or Tomcat 11.

Need full-scale migration?

The demo handles up to 100 lines. Our production service migrates entire databases — schemas, stored procedures, and data — with zero downtime.

Contact us

Engine Technologies

  • ANTLR 4 — grammar parsing
  • StringTemplate — code generation
  • Java — conversion runtime
  • JDBC — database connectivity
  • Docker / Kubernetes — deployment