PostgreSQL, SQL Server, MySQL, MariaDB, Oracle, SQLite
Move SQL between common relational systems used in applications, services, prototypes, and legacy estates.
Supported dialects
Convert SQL across the engines your team actually meets.
Sqlinfy supports practical conversion work across application databases, legacy systems, embedded workflows, and modern analytics platforms.
8
dialects
PostgreSQL
SQL Server
MySQL
Oracle
Snowflake
Databricks
MariaDB
SQLite
Snowflake and Databricks
Prepare queries and scripts for cloud warehouse and lakehouse workflows while keeping review points visible.
Converted SQL with diagnostics
Use the converted output as a strong first pass, then inspect diagnostics for dialect behavior that needs attention.
Dialect coverage
Built for common migration paths.
Start with the source dialect you have, choose the target dialect you need, and review the converted SQL before it ships.
Open-source relational SQL for application and data workflows.
T-SQL patterns for Microsoft-backed application stacks.
Widely used SQL for web applications and product databases.
MySQL-family SQL used across application and hosting environments.
Enterprise SQL commonly found in legacy and modernization projects.
Cloud warehouse SQL for analytics and data platform migrations.
Lakehouse-oriented SQL for modern data engineering workflows.
Lightweight SQL for local tools, prototypes, and embedded apps.
Ready to test a dialect pair?
Start Converting
Paste SQL, pick source and target, then inspect the result.
Sqlinfy is most useful when you pair fast conversion with a careful review pass.