Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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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
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Equixly
✓ verifiedPaid
Agentic-AI platform for continuous, automated API and application penetration testing, aimed at security and dev teams.
22K visits/mo894 saves
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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
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AI Query
✓ verifiedPaid
Turns plain-English prompts into SQL and explains existing queries; handy for non-experts, though its scope is narrow.
167 visits/mo6.2K saves
Pricing
No public pricing
Penetration Test: EUR 4,999 per test (results in 2 days)
No public pricing
Free trial available
Pro: $10/mo (unlimited queries)
Pro: $100/yr (2 months free)
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)
- ✦Agentic AI penetration testing
- ✦Continuous API and attack-surface discovery
- ✦Business-logic and multi-step attack chaining
- ✦CI/CD (DevSecOps) integration
- ✦Exploitability validation and remediation guidance
- ✦Compliance mapping (OWASP, PCI-DSS, PSD2, ISO 27001)
- ✦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
- ✦English-to-SQL generation
- ✦SQL-to-English explanation
- ✦Schema definition dashboard
- ✦Support for multiple database engines
- ✦Save, share and query history
Use cases
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Continuously pentest APIs and apps
- →Replace periodic manual pentests
- →Embed security testing in CI/CD
- →Demonstrate compliance in regulated industries
- →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
- →Writing SQL without deep expertise
- →Understanding complex queries
- →Speeding up routine database work
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