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ChartDB

ChartDB

ChartDB is a collaborative tool focused on visualizing database schemas and data modeling. It helps users quickly generate, synchronize, and share database diagrams, boosting team efficiency in database design, review, and collaboration.
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database visualization tooldatabase schema diagram generatordata modeling collaboration platformER diagram generatordatabase diagram synchronizationteam database designAI-assisted database designopen-source database tools

Features of ChartDB

Automatically generate database relationship diagrams from a graphical interface or DDL, streamlining the visualization workflow.
Generate editable ER diagrams from natural language descriptions to assist database design.
Real-time collaborative editing for multiple users, with visible cursors and actions.
Automatically sync database schemas to diagrams via CLI, Webhooks, or scheduled tasks.
Embed interactive diagrams into Notion, Confluence, or other documentation/Wiki platforms.
Cloud-based, on-demand version for quick diagram generation without database access.
Free, open-source self-hosted edition, giving you full control over data and configuration.
AI features such as automatic detection of missing foreign keys and intelligent color-coding of tables.
CI/CD integration to ensure diagrams stay up-to-date with development workflows.
Includes an interactive DBML editor, schema export, notes, and other productivity features.

Use Cases of ChartDB

In technical planning meetings or architecture reviews, quickly generate and present database diagrams.
During collaborative database design, enable real-time editing and discussion of data models.
When onboarding new teammates, help them quickly understand the existing database architecture with visual diagrams.
Coordinate across teams (data, backend, analytics) by sharing and discussing database designs.
When you need to embed database diagrams into project documents, wikis, or dashboards for direct viewing by the team.
After database structure changes, automatically synchronize visual diagrams to maintain consistency.
For developers modeling databases to assist in generating SQL scripts or migration DDL.
For individuals or small teams designing databases, to quickly generate and iterate ER diagrams.

FAQ about ChartDB

QWhat is ChartDB?

ChartDB is a collaborative tool focused on visualizing database schemas and data modeling, designed to help users quickly generate, synchronize, and share database diagrams.

QWhat are the main features of ChartDB?

Key features include database schema visualization and modeling, AI-assisted design, real-time collaboration, automatic schema synchronization, and diagram embedding and sharing.

QHow does ChartDB support team collaboration?

Supports multiple people editing the same diagram online simultaneously, with real-time collaborator cursors and actions, automatically saving all changes for review.

QWhat deployment options does ChartDB offer?

Cloud version (ChartDB Cloud) and self-hosted version (ChartDB Self-Hosted); the cloud version is browser-based, and the self-hosted edition is free and open source for local deployment.

QIs ChartDB free or paid?

ChartDB offers a Free plan, Pro, Teams, and custom options. The Free plan is for individuals with feature limits; paid plans unlock more diagrams, advanced features, and support.

QHow does ChartDB stay in sync with existing databases?

Supports syncing database schemas to charts via CLI, Webhooks, or scheduled tasks, and can be integrated into CI/CD workflows.

QHow can the AI features be used in ChartDB?

AI features such as natural-language ER diagram generation and missing foreign-key detection are available in the cloud version; in the self-hosted version, users need to configure services like OpenAI API to enable them.

QCan the charts generated by ChartDB be shared?

Yes, you can embed interactive database diagrams into Notion, Confluence, or other documentation or Wiki platforms for the team to view and benefit from real-time updates.

QWho is ChartDB suitable for?

Ideal for software developers, database administrators, architects, and technical teams involved in database design, reviews, documentation, or collaboration.

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