Moving SQL from one database to another should not require starting from a blank editor.
The difficult part is that PostgreSQL, SQL Server, MySQL, MariaDB, Oracle, Snowflake, Databricks, and SQLite share a common language while implementing many details differently.
Functions change. Data types differ. Date arithmetic follows different rules. Identifiers use different quoting styles. Procedural SQL may need to be restructured.
Sqlinfy is built for that focused problem.
An explicit conversion path
Every conversion begins with two clear choices:
Source dialect
Target dialect
This matters because SQL migration is not generic text rewriting. A SQL Server to PostgreSQL conversion follows a different path from a MySQL to Snowflake conversion.
Making the path explicit reduces ambiguity and gives developers a repeatable starting point.
Readable output for human review
Converted SQL should be easy to inspect.
Developers need to understand what changed, compare the result with the source, and discuss uncertain areas during code review. Readable output makes that work faster than rebuilding the query manually.
Diagnostics keep uncertainty visible
Not every database feature has a perfect equivalent.
A vendor-specific function, unusual data type, implicit conversion, or procedural statement may require special attention. Diagnostics help identify those areas so the developer can review them before testing or deployment.
A diagnostic is not a failure. It is a useful signal that the conversion needs human judgment.
Single and batch workflows
Small tasks often begin with one query pasted into the converter.
Larger migrations may involve folders of SQL files, repeated conversion paths, and many scripts waiting for review. Batch processing helps move that work into a queue while keeping the converted output available for inspection.
The same engine on every plan
Sqlinfy does not reserve a different conversion engine for higher-priced plans.
Paid plans increase practical capacity:
• Larger scripts
• More daily conversions
• Batch processing
• Priority support
The free plan is a real way to test the conversion workflow with your own SQL.
Conversion is the first pass, not the final approval
No automated converter should replace testing.
After conversion, compare source and target results using representative data. Check row counts, calculated totals, NULL values, dates, sorting, precision, and any database-specific behavior.
The recommended workflow is:
Understand
Convert
Review
Test
Deploy
Sqlinfy is intentionally focused. Its job is to reduce repetitive SQL rewriting and give developers a structured, reviewable result for the next stage of migration.