SQL DDL Validator

Purpose-built tool for static validation of SQL DDL statements. It analyzes syntax against dialect-specific grammars, identifies structural errors, and flags basic semantic issues within the provided snippet. This supports database engineers, data modelers, and CI pipelines by catching issues before deployment. The validator covers common dialects such as PostgreSQL, MySQL, and SQL Server and offers clear, position-based error reporting to accelerate remediation. It does not execute DDL against a live database, preserving safety in offline validation scenarios. Core benefits include faster schema reviews, consistent validation rules across teams, and a structured output suitable for automation. In advanced use, users can enable lightweight semantic checks, such as cross-statement references and reserved keyword conflicts, to further reduce migration risks. Outputs are designed for integration with validation dashboards and CI systems, providing a parsed representation of the DDL alongside error and warning lists. The approach emphasizes correctness over heuristics, delivering deterministic results for well-formed input and actionable guidance when issues are detected. Typical workflows include pre-merge validation of migrations, offline audits of schema changes, and cross-dialect compatibility checks for multi-DB deployments.