Data Model Design Tool

Purpose-built for data architecture teams, the tool captures entities as tables, attributes as columns, keys as identifiers, and relationships as foreign keys. It supports cardinalities (one-to-one, one-to-many, many-to-many) and constraint definitions; the system enforces 1NF–3NF concepts and suggests normalization fixes. Conceptually, users model a domain truth by incrementally adding entities, linking them with relationships, and annotating attributes with data types, nullable flags, and defaults. The core value is reproducible schema design: a canonical model that can be exported as SQL DDL for deployment and as JSON Schema for API payloads. The tool is beneficial for database engineers, software architects, and data analysts who need fast iteration of schema ideas and clear documentation. Unique value lies in automated consistency checks, dialect-aware DDL generation, and metadata export that aligns database structure with domain semantics. Use cases include e-commerce catalog design, CRM data model, and analytics star-schema planning; it supports both small teams and larger organizations by storing revisioned models and generating shareable artifacts. Core features include entity/attribute editors, primary/foreign key management, relationship cardinalities, simple validation, normalization guidance, and export options; outputs are human-readable diagrams, SQL DDL scripts, and JSON schemas. The approach remains model-first: capture domain concepts, derive technical artifacts, and evolve the model with versioning and collaboration hooks.