Use cases

Move SQL between systems without losing the thread.

Sqlinfy helps teams convert queries, schema scripts, and larger SQL files when applications, analytics workflows, or client projects need to land on a new database engine.

Start Converting View Dialects
SQL convert + review
PostgreSQL
SQL Server
Snowflake
Databricks
Application migration

Port production queries into a new relational stack.

Use Sqlinfy as the first pass when moving SQL between engines such as SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, and SQLite.

Best for: app rewrites, client migrations, legacy cleanup
Analytics modernization

Prepare reporting SQL for cloud data platforms.

Translate SQL toward Snowflake or Databricks workflows while keeping platform-specific differences visible for review.

Best for: warehouse moves, BI cleanup, data team handoffs
Batch script review

Queue larger files when there is too much to paste by hand.

Batch conversion helps teams process `.sql` or `.txt` files and review output after the background job finishes.

Best for: script folders, migration spikes, repeated syntax changes
Workflow

From source SQL to reviewable target SQL.

  1. 1 Bring the source

    Paste a statement or upload a SQL file.

  2. 2 Choose dialects

    Select where the SQL starts and where it needs to run.

  3. 3 Convert and inspect

    Read the converted SQL and review diagnostics.

  4. 4 Move forward

    Copy, download, or refine the output for your project.

Ready to try it?

Start with the SQL you already have.

Run a single conversion first, then move into batch conversion when the workflow grows.

Open Converter