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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DesignCode UI
✓ verifiedPaid
Premium Figma and Framer UI kit with hundreds of components, variants and icons for building polished, themeable sites.
5.0K visits/mo
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EverSQL
✓ verifiedFree
AI-powered SQL optimizer for PostgreSQL and MySQL that auto-rewrites and indexes queries; now free as part of Aiven.
6.5K visits/mo
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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
Pricing
All-Access: $49 one-time (300+ components)
Pro: $120/year
No public pricing
No public pricing
No public pricing
Core features
- ✦300+ Figma UI components
- ✦2,000+ Figma variants
- ✦2,116 icons
- ✦Framer-ready components and templates
- ✦Deep theming (glass, line, flat styles)
- ✦Adaptive layouts with variables
- ✦Automatic SQL query optimization
- ✦Query rewriting and indexing suggestions
- ✦Non-intrusive performance sensor
- ✦Ongoing performance insights
- ✦Database cost-reduction recommendations
- ✦PostgreSQL and MySQL support
- ✦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)
- ✦AI-Powered Conversations
- ✦Multi-Database Support
- ✦Query Optimization & Suggestions
- ✦Self-Hosted & Open Source
- ✦Query Execution & Transaction Management
- ✦Smart Schema Management
Use cases
- →Build a website or app UI in Figma
- →Hand off Figma designs to Framer
- →Speed up prototyping with prebuilt components
- →Optimizing slow SQL queries
- →Monitoring database performance
- →Reducing database CPU and storage costs
- →Getting indexing recommendations
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Debug application issues by querying relevant data
- →Check database state during development
- →Validate database migrations and schema changes
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