What is SQL Notes?
SQL Notes is an AI-native data design tool that combines the visual power of Miro with the intelligent assistance of Cursor, tailored specifically for databases. It automatically reverse-engineers your existing SQL code to trace data relationships, dependencies, and JOINs, providing instant insights into your data architecture without requiring migrations or framework changes. The tool features an interactive whiteboard where you can combine data diagrams, wikis, and flowcharts on a single canvas. You can drag-select any nodes or tables and chat directly with AI to ask questions, refactor schemas, or co-design solutions in context, eliminating the need to switch between applications.
Key features include AI-native collaboration, lineage and JOINs reverse-engineering, and Markdown-supported documentation. Benefits include accelerated system design, improved technical documentation, and informed decision-making on trade-offs like normalization vs. denormalization. Use cases span software engineers designing ER diagrams, data engineers reverse-engineering SQL interdependencies, and teams drafting system designs from simple ideas. Technical details: the tool supports drag-and-drop node selection, real-time AI chat, and seamless integration with existing SQL codebases. It offers a 7-day free trial with no credit card required, making it accessible for individuals and teams. SQL Notes transforms how you design, document, and collaborate on data systems, turning rough thoughts into polished design docs, PRDs, and data specs while providing feedback on best practices. It is ideal for evaluating design trade-offs and receiving coaching on architecture and data models, empowering engineers to become elite in their craft.
Use Cases
Key Features
AI native collaboration reverse engineer SQL code trace data relationships interactive whiteboard drag select nodes chat with AI Markdown documentation schema refactoring system design acceleration trade off analysisWho is it for?
software engineers, data engineers, database administrators, data architects, product managers, technical writers
