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Eliminate Manual Rewrites for Procedure and Function Migration

SQLShift is an enterprise-grade migration platform for non-table database objects. It supports migration and rewrite of core business logic objects such as stored procedures and functions across Oracle, OceanBase, SQL Server, and more. Tasks that once required 10 expert days can now be completed in hours with automation, dramatically improving delivery speed and release stability.

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SQLShift product interface

How the SQLShift Workflow Works

Follow these three steps to set up a migration project, submit SQL objects for conversion, and review export-ready results for the target database.

Converted SQL Results screenshot

Create a Migration Project

Select the source and target databases to define the migration path for your project.

Intelligent Repair Guidance screenshot

Upload SQL for Conversion

Upload stored procedures, functions, and other SQL objects to the project and wait for the conversion results.

Performance Diagnosis and Optimization screenshot

Review and Export Results

Review the SQL converted into target-side syntax, then export it for execution and invocation in the target database.

Built for Complex Database Migration

SQLShift is designed to help teams handle cross-database migration with broader coverage, automated refactoring for complex SQL objects, and stronger consistency across target-side syntax and behavior.

Full Coverage for Cross-Database Migration

When migrating from Oracle or SQL Server to OceanBase or GaussDB, dialect differences force DBAs to manually reconstruct database object logic. SQLShift builds a “syntax highway” between heterogeneous databases and significantly shortens migration time:

  • Multi-source and multi-target support: automatic conversion of complex objects across routes such as Oracle to PostgreSQL/OceanBase and SQL Server to GaussDB.
  • SQL syntax expert model: dynamically learns source and target dialect rules (for example, Oracle materialized views to OceanBase equivalents) and pinpoints syntax differences.
  • Accurate heterogeneous syntax mapping: deeply parses PL/SQL, T-SQL, PL/pgSQL and other dialects for intelligent cross-database translation (for example, Oracle ROWTYPE to PostgreSQL RECORD).

Automated Refactoring for Complex Objects

When migrating advanced objects such as stored procedures, triggers, and materialized views, native tools often cannot process them directly. Manual analysis and rewrite is slow and error-prone. SQLShift combines AI with rule engines to automatically rewrite SQL and improve migration efficiency:

  • Comprehensive object coverage: automatically reconstructs stored procedures, triggers, functions, and packages into target syntax.
  • Automatic rewrite for complex logic: handles dynamic SQL (for example, EXECUTE IMMEDIATE) and cursor loops while preserving business semantics.
  • Batch parallel processing: upload hundreds of complex objects in one run and process conversion tasks in parallel.

Syntax and Semantic Consistency Assurance

Manual migration often introduces production risks through implicit type conversion (for example, Oracle NUMBER to MySQL DECIMAL) or missing exception handling logic. SQLShift uses a four-dimensional quality framework for highly reliable delivery:

  • Intelligent diff localization: compares source and target SQL, identifying implicit conversions and precision loss, reducing manual verification time by up to 70%.
  • White-box business logic analysis: visualizes logic in procedures and triggers (transaction boundaries, exception chains) for drill-down analysis.
  • AI conversion path tracing: outputs step-by-step reasoning during complex object conversion.
  • Risk prediction and smart repair: provides expert-level remediation suggestions for weakly compatible syntax (for example, SQL Server WITH (UPDLOCK)), then generates complete SQL after confirmation.

SQLShift Automatically Rewrites Complex SQL Logic

Using Oracle to OceanBase and Oracle to MySQL as examples, SQLShift supports rewrite of many complex logic patterns. A few examples are listed below:

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Tell us about your database migration plans and we will prioritize access for relevant scenarios.

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