What problem does it solve?
Manually designing relational databases requires creating ER diagrams, writing DDL scripts, generating entity code, applying normalization rules, and planning schema migrations, which is time-consuming, error-prone, and often leads to performance bottlenecks or inconsistent schema designs.
Core Features & Use Cases
- Full Schema Artifact Generation: Creates Mermaid ERDs, MySQL DDL scripts, and MyBatis-Plus Java entity code directly from natural language business requirements.
- Normalization & Optimization Checks: Analyzes table designs against 1NF to BCNF normalization rules, recommends index strategies based on query patterns, and flags common design pitfalls.
- Zero-Downtime Migration Planning: Generates expand-contract migration scripts to safely modify schema without interrupting running services.
- Use Case: For example, when building an e-commerce order management system, you can input your business entities (users, products, orders, order items) and their relationships to get a complete, optimized database design in seconds.
Quick Start
Describe your business scenario including core entities, relationships, and common query patterns to receive a complete MySQL database design with ERD, DDL, and Java entity code.