With the ability to update existing data models by auto-generating tables and relationships from natural language inputs, users can effortlessly update their data models with new information without manual input or modification. Key Features: Generative AI for data modeling: Create ERDs from data model descriptions, user stories, or requirements using AI. Update existing data models: Automatically generate tables and relationships from natural language inputs. AI-powered description generation: Quickly generate descriptions for Procedures, Views, and Triggers. Streamlined data modeling process: Save time and effort by automating the creation and updating of ERDs. Use Cases: • Accelerate data modeling projects by generating ERDs from natural language inputs. • Easily update existing data models with new information, reducing manual input and modification. • Improve documentation by generating descriptions for Procedures, Views, and Triggers using AI. • Enhance efficiency and reduce errors in data modeling processes through automation. Embrace the power of ERBuilder 7.0, a generative AI-powered data modeling tool that streamlines the creation and updating of entity-relationship diagrams from natural language inputs, improving efficiency and documentation quality.
