SQLAI.ai supports popular relational and non-relational engines so you can generate SQL from natural language, validate syntax, format queries, optimize performance, and explain query logic in one workflow.

Popular supported databases include MySQL, PostgreSQL, SQL Server (MS), Oracle PL/SQL, BigQuery, SQL (native), MariaDB, SQLite, Snowflake, DB2. Use search above to find a specific engine and open its dedicated page.

What you can do with supported databases

Generate SQL queries from text prompts with schema-aware context.
Optimize SQL for speed with rewrite suggestions and index-aware improvements.
Validate SQL syntax and fix common query errors before execution.
Format SQL for readability and explain complex SQL in plain language.

Use SQLAI tools across database engines

Each supported database can be used with SQLAI.ai tools for generation, optimization, validation, formatting, and explanation.

SQL Generator SQL Optimizer SQL Validator SQL Formatter SQL Explainer

Supported Databases

Generate and improve SQL across 28 database engines. Connect directly to 6 engines or use static schema context for the rest.

SQL and NoSQL database support for AI query workflows

What you can do with supported databases

Use SQLAI tools across database engines

Ship SQL faster with AI