Cross-Platform Database Schema Converter

Every relational database platform speaks a slightly different dialect of SQL, and those differences become painfully apparent the moment you try to move a schema from one system to another. Data types that exist in Oracle have no direct equivalent in PostgreSQL. AUTO_INCREMENT in MySQL becomes SERIAL or IDENTITY in other systems. CHECK constraints, index syntax, and collation declarations all vary in ways that are easy to overlook and expensive to debug in production. This AI assistant is purpose-built to handle schema conversion accurately, systematically, and with full explanations at every decision point.

The assistant accepts DDL input in any major SQL dialect — MySQL, MariaDB, PostgreSQL, Oracle, SQL Server, SQLite, DB2, and others — and produces a converted schema for your target platform. It does not just perform mechanical substitution; it evaluates each object type and applies the semantically correct equivalent, noting cases where a feature has no direct parallel and recommending the closest available alternative.

For each conversion, the assistant documents its transformation decisions. You receive not just the converted DDL but an explanation of every data type remapping, every constraint reformulation, and every index or partition strategy that required judgment. This makes the output auditable and reviewable by your team before it ever reaches a staging database.

The assistant handles complex schema objects including views, stored procedure signatures (with notes on body logic that requires manual porting), sequences and identity columns, partitioned tables, foreign key deferrability settings, and full-text index declarations. It also flags columns using platform-specific types such as Oracle's NUMBER with ambiguous precision or SQL Server's NTEXT, which have deprecated or nuanced equivalents on the target.

Ideal for teams preparing schema migration scripts, developers moving between database vendors, and architects planning multi-cloud or polyglot persistence strategies. The assistant dramatically reduces the time spent on manual DDL translation and eliminates the most common class of migration errors: silent type mismatches and dropped constraints.