SQL Tran is a Database Code Transpilation IDE, powered by the advanced Hummingbird Parser. It streamlines SQL code translation between database dialects, offers database-wide analysis with high precision and speed, making it ideal for complex data migration projects.

Currently supported sources: SQL Server, Azure SQL, Synapse Dedicated Pool

Currently supported targets: Fabric Warehouse, Synapse Dedicated Pool

Revolutionary Parsing Technology:

- Built on bespoke semantic parser that is over 400 times faster than traditional parsers like ANTLR, enabling quick and accurate code analysis and migration.

Database-Wide Semantic Analysis:

- Performs comprehensive semantic analysis on the entire database codebase, identifying syntax errors, code issues, and broken references.

- Utilizes strongly-typed Abstract Syntax Trees (AST) for precise code interpretation, maintaining database integrity during transpilation.

Built-In Statistics and Reports

- Extensive insight into complexity of the database objects and project progress

Target Schema Creation:

- Facilitates the creation and seamless updating of target databases within the IDE, simplifying the project workflow.

Built-In Testing Framework:

- Leverages sophisticated semantic analysis to quickly generate thousands of test cases for your business logic, significantly reducing the risk and complexity of data migration projects.

- Automates test generation based on parameter usage analysis

Translation Accuracy:

- Achieves very high accuracy translating tables, views, procedures, and functions across different SQL dialects, making it highly reliable for diverse database environments.

Comprehensive Object Coverage:

- Processes every object within your database, including tables, views, procedures, functions, and triggers, ensuring nothing is overlooked during migration.

Performance and Scalability:

- Hummingbird parser at the core of SQL Tran is capable of parsing millions of lines of code per second, drastically reducing project times and costs.

Staging and Production Database Connections

- Staging databases unlock object creation in the target staging database, as well as testing framework

- Generated code in the staging database contains rich commentary

- Generated code in the production database is free of auto-generated comments

SQL Tran promises to make SQL code migration faster, more efficient, and less risky.