HowIt Works
Three simple steps from English to optimized SQL
Type in Plain English
Describe what data you need in natural language. No SQL syntax knowledge required. Just type like you're talking to a colleague.
AI Analyzes Your Schema
Our AI engine understands your database structure, table relationships, column types, and indexes to generate the most accurate query possible.
Get Optimized SQL
Receive a production-ready, optimized SQL query with proper JOINs, WHERE clauses, aggregations, and indexing hints tailored to your database.
See ItIn Action
Real examples of text to SQL conversion
"Show me all users who signed up last month and made at least 2 purchases"
SELECT u.name, u.email, COUNT(p.id) as purchase_count
FROM users u
JOIN purchases p ON u.id = p.user_id
WHERE u.created_at >= DATE_TRUNC('month', NOW() - INTERVAL '1 month')
GROUP BY u.id, u.name, u.email
HAVING COUNT(p.id) >= 2;"What are the top 5 products by revenue this quarter?"
SELECT p.name, SUM(oi.quantity * oi.unit_price) as revenue
FROM products p
JOIN order_items oi ON p.id = oi.product_id
JOIN orders o ON oi.order_id = o.id
WHERE o.created_at >= DATE_TRUNC('quarter', NOW())
GROUP BY p.id, p.name
ORDER BY revenue DESC
LIMIT 5;Accuracy ThatBeats Generic AI
Schema-aware AI outperforms general-purpose tools
ChatGPT / Generic AI
No schema awareness, generic outputs
GitHub Copilot
Code-focused, limited SQL optimization
UnifySQL Text to SQL
Schema-aware, dialect-specific, optimized
SupportedDatabases
Why ChooseUnifySQL Text to SQL?
10x Faster Query Writing
Skip the syntax lookup. Describe your data needs in plain English and get production-ready SQL in seconds.
Enterprise-Grade Accuracy
94% first-attempt accuracy powered by schema-aware AI that understands your specific database structure.
Dialect-Aware Generation
Generates SQL optimized for your specific database engine -- PostgreSQL, MySQL, MSSQL, and more.
Schema Intelligence
AI learns your tables, relationships, and naming conventions to produce contextually accurate queries.
Frequently Asked Questions
Everything most teams ask before getting started.
UnifySQL achieves 94% first-attempt accuracy on complex queries, significantly outperforming generic AI tools like ChatGPT (62%) and GitHub Copilot (71%). This is because UnifySQL is schema-aware -- it understands your specific database structure, relationships, and column types before generating SQL.
UnifySQL's text to SQL engine supports all major SQL dialects including PostgreSQL, MySQL, Microsoft SQL Server, MariaDB, and generates optimized syntax specific to each engine. It also supports NoSQL query generation for MongoDB and Cassandra.
Yes. UnifySQL's AI generates complex queries including multi-table JOINs, nested subqueries, CTEs (Common Table Expressions), window functions, and aggregations. The schema-aware engine automatically determines the correct join paths between tables.
UnifySQL offers a generous free tier that includes text to SQL conversions with basic schema awareness. Pro and Enterprise plans unlock unlimited conversions, advanced optimization hints, and team-shared AI context for even higher accuracy.
Unlike ChatGPT, UnifySQL connects directly to your database schema. It knows your exact table names, column types, relationships, and indexes. This context-awareness means it generates correct, optimized queries specific to your database rather than generic SQL that may not match your schema.
Once you connect your database to UnifySQL, the text to SQL feature works immediately. The AI automatically introspects your schema, learns table relationships, and begins generating accurate queries. No additional configuration or training is required.