A professional-grade browser-based SQL learning platform that generates custom databases with AI and provides intelligent query coaching. Perfect for students, developers, and data analysts looking to practice SQL with realistic datasets.
- AI-Generated Databases: Create custom, realistic databases from natural language descriptions
- Real-time Query Execution: Run SQL queries instantly using SQLite in the browser
- Smart Error Coaching: Get intelligent feedback and suggestions when queries fail
- Interactive Schema Explorer: Browse tables, columns, and data with an intuitive interface
- No Setup Required: Everything runs in your browser - no installations needed
- Responsive Design: Works seamlessly on desktop, tablet, and mobile devices
- Syntax Highlighting: Advanced SQL editor with code completion and formatting
- Sample Queries: Quick-start templates for common SQL operations
- Natural Language to SQL: Describe what you want, get a working database
- Error Diagnosis: Contextual explanations of SQL errors with fix suggestions
- Query Optimization: Hints for improving query performance and structure
- Learning Path: Progressive difficulty with guided practice scenarios
- JavaScript - Lightweight and fast
- CodeMirror - Professional code editor with SQL syntax highlighting
- Tailwind CSS - Modern, responsive UI framework
- SQL.js - Full SQLite database engine running in WebAssembly
- Cloudflare Workers - Serverless API endpoints
- Claude AI API - Advanced natural language processing
- Cloudflare Pages - Static site hosting with global CDN
- Chrome
- Firefox
- Safari
- Edge
- SQL Learning: Interactive tutorials with instant feedback
- Database Design: Practice schema creation and normalization
- Query Writing: Master SELECT, JOIN, aggregate functions, and more
- Interview Preparation: Practice common SQL interview questions
- Skill Assessment: Test your SQL knowledge with realistic scenarios
- Team Training: Share custom datasets for consistent learning experiences
- Prototype Queries: Test analysis approaches before running on production data
- Schema Exploration: Understand database structures through hands-on practice
- Performance Testing: Learn query optimization techniques
- Visit SQL Playground
- Describe your ideal database in plain English
- Generate a custom database with sample data
- Practice writing and executing SQL queries
- Learn from AI-powered feedback and coaching
"Create a database for a small retail store with customers, products, and orders"
"Generate a university database with students, courses, and enrollments"
"Build a social media platform database with users, posts, and comments"
"Design a library management system with books, authors, and borrowers"
-- Basic data exploration
SELECT * FROM customers LIMIT 10;
-- Aggregation and grouping
SELECT category, COUNT(*) as product_count, AVG(price) as avg_price
FROM products
GROUP BY category;
-- Joins and relationships
SELECT c.name, COUNT(o.id) as order_count, SUM(o.total) as total_spent
FROM customers c
LEFT JOIN orders o ON c.id = o.customer_id
GROUP BY c.id, c.name
ORDER BY total_spent DESC;Browser
├── SQL.js (SQLite WASM)
├── CodeMirror (Editor)
├── UI Components
└── API Communication
Cloudflare Workers
├── Schema Generation API
├── Error Coaching API
├── CORS Handling
└── Rate Limiting
- User describes desired database
- Natural language prompt sent to Claude AI
- AI generates complete SQL schema with sample data
- Database loaded into browser SQLite instance
- User queries executed locally with instant results
- Errors sent to coaching API for intelligent feedback
- Method: POST
- Purpose: Generate SQL database from natural language
- Payload:
{ prompt: string } - Response:
{ database: string, source: 'claude-api' | 'fallback' }
- Method: POST
- Purpose: Get coaching for SQL errors
- Payload:
{ schema: string, query: string, error: string } - Response:
{ coaching: { explanation, suggested_fix, hints } }
- E-commerce Analytics: Customer behavior and sales analysis
- Financial Reporting: Revenue, costs, and profitability metrics
- User Engagement: Social media and app usage patterns
- Inventory Management: Stock levels and supply chain optimization
- Local Processing: All queries run in your browser
- No Data Storage: Generated databases exist only in your session
- Minimal API Calls: Only schema generation and error coaching use external services
- Database Not Loading: Check browser console, try refreshing
- Queries Not Running: Verify SQLite is supported in your browser
- Coaching Unavailable: AI service may be temporarily down, basic error info still shown
- Schema Generation Fails: Fallback database will be provided
- Enable JavaScript and WebAssembly
- Allow third-party requests for AI features
- Minimum 2GB RAM recommended for large datasets
- Clone the repository
- Install Cloudflare Wrangler CLI
- Set up environment variables
- Deploy Workers for API endpoints
- Deploy static site to Pages
- Database Generation: 60 secs
- Query Execution: <100ms for typical operations
- Error Coaching: 1-3 seconds for analysis
- Page Load: <2 seconds on 3G connections
- Lazy Loading: Components load as needed
- Caching: Static assets served from global CDN
- Compression: Gzipped responses for faster transfers
- Minification: Optimized JavaScript and CSS
- Export Functionality: Download schemas and results
- Collaboration Mode: Share databases with team members
- Advanced Analytics: Query performance metrics
- Mobile App: Native iOS and Android versions
- Multi-database Support: PostgreSQL, MySQL, SQL Server
- Advanced AI Features: Query generation from natural language
- Learning Paths: Structured SQL curriculum
- Certification: Skill verification and badges
📄 License Notice
This project is not open source. It is provided for personal and educational use only.
Commercial use is prohibited. See LICENSE.txt for details.
- Himanshi Sheth – SQL Playground Dev
- HS Portfolio
- HS LinkedIn
Built with ❤️ for the SQL learning community
Status: 🚧 Active Development | Timeline: Summer 2025 Release