Datascale

Datascale is an AI-native data design tool that combines data diagrams, wikis, and flowcharts on one canvas. It enables drag-select of nodes and tables, and chat with AI directly on the board to refactor and co-design in context without switching tools. It visualizes SQL-based relationships and dependencies to help engineers plan, design, and document data architectures.

Datascale helps teams map out data dependencies from SQL code and surface downstream impact. It reads your code and diagrams it into something navigable, enabling users to understand the data landscape and collaborate on improvements.

Datascale supports drafting plans, improving technical docs, and evaluating design trade-offs. It offers feedback on architecture, data models, and communication to guide best practices in data design.

Datascale provides pricing information, platform availability, and integration options on its pages, including plans with monthly and yearly options and a 7-day free trial. It also notes that it runs on multiple devices and supports AI-assisted collaboration.

Use cases

• Software engineers plan, refactor, and co-design in context with ER diagrams and data flows.
• Data engineers reverse-engineer SQL interdependencies to see data flows.