Beta Version
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Build Complex SQL Queries Visually & Easily

Smart SQL is a powerful visual query builder for developers, data analysts, and database engineers. Create complex SQL queries using a simple drag-and-drop interface. No coding. No syntax errors. No time wasted.

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Smart SQL Dashboard

Powerful Features for Developers & Data Teams

Everything you need to create clean, optimized SQL queries � faster and smarter.

Supports Major Databases

Smart SQL works with SQL Server, MySQL / MariaDB, PostgreSQL, Oracle, and SQLite .

Full Schema Explorer

Instantly explore tables, columns, data types, keys, and relationships .

Drag & Drop Query Builder

Build queries visually. Create joins, filters, groupings, subqueries and conditions without touching SQL.

Real-Time Query Monitoring

Track executed queries, measure performance, and identify slow operations instantly.

Execute Queries Instantly

Run SQL directly inside Smart SQL and view live results fast no switching tools.

Smart Column Functions

Apply SUM, COUNT, AVG, CONCAT, MAX, MIN and more with a single click no manual coding needed.

24/7 Support

Whether you�re a solo developer or a team, we�re available anytime to help you succeed.

Choose Your Plan

Pick your license and start building better SQL workflows today.

Beta Launch Plan

Free

Monthly
  • Supports Major Databases (SQL Server, MySQL/MariaDB, PostgreSQL, Oracle, SQLite)
  • Full Schema Explorer
  • Drag & Drop Query Builder
  • Execute Queries Instantly
  • Smart Column Functions (SUM, COUNT, AVG, CONCAT, MAX, MIN)
  • AI Assistant

Frequently Asked Questions

Quick answers for teams evaluating Smart SQL for daily database work.

Which databases are supported by Smart SQL?

Smart SQL supports SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, and SQLite.

Can non-experts build queries without writing SQL manually?

Yes. Smart SQL includes a visual drag-and-drop builder to create joins, filters, and grouped queries faster.

Does Smart SQL help improve query performance?

Yes. It provides query execution and monitoring workflows so teams can identify and optimize slow SQL statements.