Users can effortlessly update their data models with new information without manual input or modification by leveraging the ability to auto-generate tables and relationships from natural language inputs.

Key Features:

• The use of generative AI allows for the creation of ERDs from data model descriptions, user stories, or requirements.
• Automatic generation of tables and relationships from natural language inputs enables seamless updates to existing data models.
• AI-powered description generation enables quick generation of descriptions for Procedures, Views, and Triggers.
• The data modeling process is streamlined through automation, saving time and effort.

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.