Translate SQL. Don't break it.

SQL Tran maps dependencies, translates with semantic awareness, and generates tests to verify behavior. Start with an assessment to see the supported path, the remaining gaps, and the work required for your codebase. A deterministic core does the translation; optional AI assistance stays under your control.

From the team behind Full Convert and Omni Loader.

20+ years 7,000+ teams ISO 27001 SOC 2 Type II in progress

How SQL Tran eliminates uncertainty

Cross-platform SQL translation is harder than it looks. Most tools translate syntax and hope for the best. SQL Tran understands what your code actually does, then proves it still does it.

The Real Problems

Code is rewritten by hand, by different people, with different levels of expertise. The result is inconsistent.
Testing is incomplete, partial, or skipped entirely.
Syntax is translated. Behavior changes. Nobody notices until production.
The tools you tried are shallow, regex-based, and frequently wrong.
Hidden dependencies across thousands of objects nobody has the time to map.

Why SQL Tran Is Different

High-accuracy translation

Built on semantics, not regex. SQL Tran understands what your code does, how platforms differ, and what the equivalent target code needs to look like.

Deep static analysis

The static analyzer maps every reference, surfaces every hidden dependency, and feeds the translator and the test generator with the context they need.

Behavioral emulation

Some source features have no direct equivalent on the target. SQL Tran emulates the behavior, preserves the intent, and flags anything that needs your eye.

Testing framework

Generates comprehensive tests automatically. On the Professional plan and higher, it produces hundreds of tests with high coverage. The translation is not done until the tests pass.

Translating SQL code

How is SQL Tran different?

SQL Tran is the unique tool that truly understands your SQL code and translates it with precision.

Step 1 - Parse + Analyze
Parse and understand every SQL object and dependency.
Step 2 - Translate
Convert SQL with full semantic awareness.
Step 3 - Emulate
Bridge gaps where target platforms differ.
Step 4 - Validate
Prove correctness with automated testing.
App screenshot
SQL CODE TRANSLATION SCENARIOS

Migrations available now

These are the source-to-target combinations exposed by the current SQL Tran project wizard. Start an assessment for your database and version to see what SQL Tran can translate, emulate, test, and flag for review. Preview paths are marked explicitly.

Available

Oracle to PostgreSQL

Translate Oracle schemas and PL/SQL into PostgreSQL, then generate tests that compare source and target behavior.

Explore the scenario →
Preview

Oracle to Fabric Warehouse

Move Oracle database code toward Microsoft Fabric Warehouse with semantic translation and explicit limitation reporting.

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Preview

Oracle to Fabric Lakehouse

Split an Oracle workload into Spark SQL for relational objects and Python/PySpark for procedural code in Fabric Lakehouse.

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Preview

Oracle to Databricks

Split an Oracle workload into Spark SQL for data objects and Python/PySpark for procedural logic on Databricks.

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Preview

Oracle to Google Cloud Spanner

Translate Oracle schemas to GoogleSQL and move procedural logic into a selectable application language for Spanner.

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Available

SQL Server to Fabric Warehouse

Translate SQL Server schema and T-SQL into the Microsoft Fabric Warehouse dialect, with target limitations surfaced during assessment.

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Available

SQL Server to Azure Synapse Analytics

Refactor SQL Server schema and T-SQL for the Azure Synapse dedicated SQL pool surface.

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Preview

SQL Server to PostgreSQL

Translate SQL Server schema and T-SQL into PostgreSQL and PL/pgSQL, with differences surfaced before deployment.

Explore the scenario →
Available

Azure SQL Database to Fabric Warehouse

Modernize Azure SQL Database code for Fabric Warehouse while keeping the migration inside the Microsoft data platform.

Explore the scenario →
Available

Azure SQL Database to Azure Synapse Analytics

Refactor Azure SQL Database workloads for an Azure Synapse dedicated SQL pool.

Explore the scenario →
Preview

Azure SQL Database to PostgreSQL

Translate Azure SQL Database schema and T-SQL into PostgreSQL and PL/pgSQL.

Explore the scenario →
Available

Azure Synapse Analytics to Fabric Warehouse

Move a Synapse dedicated SQL pool to Fabric Warehouse with focused compatibility analysis and T-SQL refactoring.

Explore the scenario →
FAQ

Frequently asked
questions

Still have questions?

Our team is here to help! Whether you have questions about our products, need assistance with implementation, or want to discuss your specific use case, we’re just a message away.

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