SQL Tran Docs
  • Overview
    • About
    • Getting started
    • Object lifecycle
    • Why is there no AI inside?
    • Performance considerations
    • Security considerations
    • Assessment
    • Unlocking projects
    • Interface walk-through
    • Translation scenarios
    • Prerequisites for Azure Marketplace deployment
  • Emulation Scenarios
    • Emulation in SQL Tran
    • SQL Server to Fabric Warehouse
      • Data types
      • Case sensitivity
      • Cursors
        • Basic cursor loop
        • Cursor types
        • Fetch direction modes
        • Cursors in control flow
        • Nested cursors
        • Data modification cursors
        • Multiple cursors
        • Subqueries and filtering
      • Named procedure parameters
      • Result set limiting
      • MERGE statements
      • Computed columns
      • External tables
      • Materialized views
      • Identity columns
      • Unsupported system objects
    • Synapse Analytics to Fabric Warehouse
      • Emulations
      • Limitations
    • SQL Server to Synapse Analytics
    • Oracle to PostgreSQL
  • Project wizard
    • Source database
    • Target database
    • Wrapping up
  • Projects
    • Project list
    • Overview
    • Workspace
    • Reports
    • Tests
    • Scratch pad
    • Settings
      • Project name
      • Mapping
      • Database connections
    • Navigation
    • Object complexity
    • Static analysis
    • Translation errors
    • Exporting and importing projects
  • Workspace
    • Object tree
    • Data lineage
    • Code
    • Actions
      • Overriding source
      • Overriding target
      • Ignoring objects
  • Tests
    • Workflow
    • Configure SQL Tran
    • Connecting to databases
      • Fabric Warehouse
      • Synapse Dedicated SQL Pool
      • Azure SQL Database, Azure SQL Managed Instance, Microsoft SQL Server
    • Tables
    • Views
    • Procedures
    • Functions
    • Triggers
    • Performance tests
  • Scripter
    • About
    • Supported databases
    • SQL Server
    • Azure SQL
    • Synapse Dedicated Pool
    • Oracle
    • PostgreSQL
    • MySQL
Powered by GitBook
On this page
  1. Overview

About

NextGetting started

Last updated 5 months ago

SQL Tran is a cutting-edge SQL code translator capable of converting even the most complex database business logic into a different SQL dialect, or even into PySpark.

It utilizes our proprietary ultra-high-performance Hummingbird parser, over 500x faster than ANTLR. Overall performance of the whole translation engine is at several orders of magnitude greater than competing tools. SQL Tran can translate millions of lines of SQL code per minute, and can handle the largest codebases.

The built-in static analysis engine tracks object references across the entire database code, enabling precise and reliable transformations, and provides full data lineage for instant impact analysis. This allows SQL Tran to instantly identify issues in the database code, such as broken references and features with no equivalent in the target.

SQL Tran - a state of the art SQL code translator!