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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.
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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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Wren AI Cloud
✓ verifiedFreemium
Open-source GenBI platform that turns plain-English questions into governed SQL, charts and dashboards for data teams.
43K visits/mo2.1K saves
Pricing
No public pricing
Penetration Test: EUR 4,999 per test (results in 2 days)
No public pricing
Free trial available
Free: $0/mo (20 monthly credits, 2 projects)
Essential: $179/mo (13,200 annual credits, unlimited projects)
Enterprise: $559/mo (24,000 annual credits, row/column controls)
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
- ✦Natural-language to SQL with instant charts
- ✦Semantic modeling layer (MDL)
- ✦Row-level and column-level data policies
- ✦20+ connectors (BigQuery, PostgreSQL, ClickHouse, Redshift)
- ✦Auto-generated GenBI dashboards
- ✦Embedded AI API with agent skills and memory
- ✦Cloud and self-hosted deployment
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
- →Self-serve analytics for non-technical teams
- →Building governed dashboards from a prompt
- →Embedding AI analytics into products
- →Cutting ad-hoc SQL requests to data teams
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