DataDict.io
Le dictionnaire de données moderne pour équipes tech
About DataDict.io
Introduction to DataDict.io
DataDict.io is a SaaS application for creating, documenting, and sharing clear, readable data dictionaries. It is designed to replace fragmented or hard-to-maintain spreadsheets with a structured, visual interface tailored to technical teams.
The product is currently in MVP (V0.1). It focuses on core functionality: defining entities and fields, specifying data types and constraints, sharing documentation via a public link, and exporting to Markdown or PDF for use in documentation and presentations.
Key Takeaways
- End-to-end creation of data dictionaries for databases and schemas
- Visual definition of entities, fields, data types, and constraints
- Public link sharing; viewers do not need an account
- Multi-format export: Markdown and PDF
- Support for common data types (e.g., VARCHAR, INT, BOOLEAN, JSON, UUID)
- Advanced constraints: primary keys, indexes, uniqueness, default values
- Instant saving for frictionless collaboration
- MVP (V0.1) status focused on essential features
How DataDict.io Works
Users create a project and model their data structure by defining entities (tables) and fields. For each field, they can set the data type and constraints such as primary keys, indexes, uniqueness, and default values. The interface provides a visual, structured view to keep schemas readable and consistent.
Changes are saved instantly, reducing the risk of version conflicts and minimizing manual synchronization. When documentation is ready, it can be shared via a public link for quick stakeholder access or exported as Markdown for developer documentation and PDF for reviews or presentations.
Core Benefits and Applications
- Centralized data documentation: Consolidates schema information into a single source of truth for engineering, data, and analytics teams.
- Faster onboarding: New team members can understand database structures without navigating multiple spreadsheets or ad hoc notes.
- Consistency and governance: Standardizes naming, types, and constraints to reduce ambiguity across services and teams.
- Documentation portability: Markdown export fits existing codebase or wiki workflows; PDF supports offline reviews and sign-offs.
- Collaboration with minimal overhead: Public read-only links allow stakeholders to consult documentation without account creation.
Current Capabilities
| Area | Details |
|---|---|
| Modeling | Define entities (tables), fields, and relationships via a visual interface |
| Data types | VARCHAR, INT, BOOLEAN, JSON, UUID, and other common types |
| Constraints | Primary keys, indexes, uniqueness, default values |
| Collaboration | Instant save to reduce friction; share via public link (viewing without account) |
| Export | Markdown for documentation; PDF for presentations |
| Access | Public read-only sharing link |
| Status | MVP (V0.1) focusing on core documentation needs |