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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Open Source Database Designs logo
Open Source Database Designs
✓ verifiedFreemium

Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.

27K visits/mo
The New GitBook logo
The New GitBook
✓ verifiedFreemium

Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.

653K visits/mo2.9K saves
Quills.ai logo
Quills.ai
✓ verifiedPaid

Lets non-technical teams query company databases and files in plain English and get auto-generated SQL and charts.

2.5K visits/mo847 saves
Pricing

No public pricing

No public pricing

Free trial available

No public pricing

Free trial available

Core features
  • Library of sample database designs
  • Visual database designer / diagram tool
  • AI database generator
  • Modify and optimize existing schemas
  • SQL script export
  • Dialect converters (MySQL/PostgreSQL/MSSQL)
  • Publish structured documentation sites
  • Git sync for docs-as-code workflows
  • AI setup agent to build and import docs
  • GitBook MCP server for AI access
  • Enterprise controls
  • Free tier to start
  • Natural-language chat interface over connected databases and files
  • Automatic SQL query generation from plain-English requests
  • Direct SQL entry for technical users
  • Support for CSV, Excel, PDF, DOC, and DOCX uploads
  • Downloadable chart and table outputs
  • Slack and website chatbot embedding with UI customization
Use cases
  • Finding a starting schema for a project
  • Designing a database visually
  • Generating a schema with AI
  • Converting between SQL dialects
  • Publish product and API documentation
  • Maintain docs-as-code with Git sync
  • Make docs consumable by AI assistants
  • Import existing docs into a hosted site
  • Letting business teams self-serve data questions without SQL skills
  • Generating ad hoc SQL queries faster for analysts
  • Embedding a data Q&A chatbot into Slack for teams
  • Consolidating file and database sources into one chat interface
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