ChartDB
Freemium

What is ChartDB?

ChartDB is a powerful database schema visualization and design tool that enables developers and teams to instantly create Entity-Relationship (ER) diagrams directly from their database. With a single query, ChartDB retrieves the entire database schema and generates a clean, editable diagram in secondsβ€”all without requiring direct database access. This makes it ideal for both cloud and on-premises databases, ensuring security and ease of use.

Key features include instant import, which allows users to visualize their database schema with just one query, and simple export of DDL scripts in multiple SQL dialects for seamless schema migration. ChartDB also offers real-time collaboration, enabling team members to view, edit, and comment on diagrams simultaneously, enhancing productivity and communication. The tool provides beautiful, embeddable documentation that can be customized and scaled for any schema, making it perfect for sharing with stakeholders or embedding in wikis.

ChartDB is trusted by engineers at top companies and has over 19,000 stars on GitHub, reflecting its reliability and community support. It offers both a free cloud-hosted version and a self-hosted option for organizations that require complete control over their data and setup. The self-hosted version is ideal for security-conscious teams or those needing customization.

Use cases include database design and planning, schema documentation, team collaboration on data models, and migration planning. Technical details: ChartDB supports all major databases (PostgreSQL, MySQL, SQL Server, etc.) and generates diagrams that are fully editable. It also includes an AI-powered diagram generator that transforms natural language prompts into optimized ER diagrams. With ChartDB, you can keep your diagrams in sync with your live database, track changes, and maintain version history. Whether you're a solo developer or part of a large team, ChartDB simplifies database visualization and design, saving time and reducing errors.

Who is it for?

database developers, software engineers, data architects, DevOps teams, technical writers, product managers, open, source contributors

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