Cross-database SQL support

Supported SQL Databases

Browse 28 supported databases for SQL generation, optimization, validation, formatting, and explanation. Connect directly to 6 engines or use schema context.
Database directory

Browse databases by engine type and workflow

Search relational, analytics, NoSQL, graph, and query-layer engines. Every result links to a dedicated SQLAI.ai page with database-specific query generation, optimization, validation, formatting, and explanation workflows.

Visible
28
Live connect
6
Schema only
22

Showing 28 databases for browse every supported engine.

Relational databases

Classic SQL engines and operational databases used for transactional workloads and application backends.

10 databases

Analytics and warehouse engines

Columnar, warehouse, and large-scale analytical engines designed for reporting and performance-heavy query workloads.

10 databases

NoSQL and semi-structured databases

Document, key-value, and wide-column systems where AI still benefits from schema context and query guidance.

3 databases

Graph and multi-model databases

Engines focused on connected data, graph traversals, and relationship-heavy query patterns.

2 databases

Query languages and federated layers

Query abstractions, APIs, and federated engines that sit between applications and underlying data sources.

3 databases

Popular Database Engines

Popular database-specific SQL pages

Use these curated pages for database-specific workflows like MySQL query generation or BigQuery optimization when you want a more focused starting point.

SQL Generator

MySQL Query Generator

Effortless draft MySQL queries for orders, subscriptions, catalog search, product reporting, and MySQL analytical use cases.

Read more

SQL Optimizer

MySQL Query Optimizer

Tune MySQL joins, composite index usage, JSON extraction, LIMIT/OFFSET pagination, and aggregation-heavy reporting SQL.

Read more

SQL Validator

MySQL Query Validator

Validate MySQL backticks, aliases, date functions, LIMIT syntax, GROUP BY rules, and MySQL-specific function usage before execution.

Read more

SQL Generator

PostgreSQL Query Generator

Draft PostgreSQL SQL for JSONB lookups, reporting CTEs, event funnels, array filters, and window-function analysis.

Read more

SQL Optimizer

PostgreSQL Query Optimizer

Tune PostgreSQL CTE-heavy plans, partial indexes, JSONB predicates, DISTINCT ON usage, lateral joins, and analytical windows.

Read more

SQL Validator

PostgreSQL Query Validator

Validate PostgreSQL casts, intervals, JSONB operators, DISTINCT ON, CTE structure, and PostgreSQL-specific syntax before execution.

Read more

SQL Generator

SQL Server (MS) Query Generator

Draft SQL Server queries for business reporting, finance summaries, OFFSET/FETCH pagination, and operational dashboards in T-SQL.

Read more

SQL Optimizer

SQL Server (MS) Query Optimizer

Tune SQL Server queries for SARGability, clustered and nonclustered index usage, TOP and OFFSET/FETCH patterns, and report performance.

Read more

SQL Validator

SQL Server (MS) Query Validator

Validate SQL Server semicolon + CTE rules, TOP syntax, brackets, aliases, and T-SQL function usage before execution.

Read more

SQL Generator

BigQuery Query Generator

Draft BigQuery SQL for partitioned fact tables, UNNEST on repeated fields, funnel analysis, monthly rollups, and warehouse reporting.

Read more

SQL Optimizer

BigQuery Query Optimizer

Tune BigQuery SQL for partition filters, clustering keys, column pruning, UNNEST placement, and lower scanned-byte cost.

Read more

SQL Validator

BigQuery Query Validator

Validate BigQuery dataset qualification, STRUCT and ARRAY syntax, UNNEST usage, and BigQuery-specific date and timestamp functions.

Read more

SQL and NoSQL database support for AI query workflows

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.