Skip to content
Visual Editor

Visual SQL Builder

Easily create SQL queries (SELECT, JOIN, WHERE) through a visual interface. Build queries intuitively without writing code and generate SQL instantly.

Guide: How to use & features

  • Click "Add Table" to specify table names and columns to select.
  • Use "Add Join" to configure relationships (JOIN) between multiple tables.
  • Click "Add Condition" to visually add WHERE clauses. It automatically handles string quotes.
  • SQL is generated in real-time in the textarea below as you make changes.
  • Save the generated SQL to your clipboard using the "Copy" button.
  • The "Clear" button resets everything back to the default state.

Samples: Sample input & output

Simple SELECT Query

Input

Table: users, Columns: id, name, WHERE: id = 1

Output

SELECT users.id, users.name FROM users WHERE users.id = 1;

FAQ: Frequently Asked Questions

  • Can I join multiple tables?

    Yes, you can generate JOIN clauses and link multiple tables using the "Add Join" button.
  • Does it support complex subqueries?

    Currently, it focuses on basic SELECT, JOIN, and WHERE clause generation. For advanced subqueries or window functions, please manually adjust the generated SQL.
  • Do I need to connect a database beforehand?

    No, this tool is an editor for building SQL strings and does not connect to any actual database. It runs entirely in your browser for maximum security.
  • Which SQL dialect is supported?

    It outputs standard ANSI SQL. The generated queries are compatible with most major relational databases like MySQL, PostgreSQL, and SQL Server.

Use cases: Common use cases

  • Learning SQL

    Visually understand the relationship between SELECT, JOIN, and WHERE clauses.

  • Drafting Queries

    Quickly draft simple queries or JOIN statements during development.

Notes: Notes & limitations

  • No Database Connection

    This tool only generates SQL strings and does not connect to any actual database.

  • Limited Syntax Support

    It does not support complex syntax like subqueries, window functions, or stored procedures.

Query Configuration

Visual SQL Query Builder

Automatically generate and assemble SQL statements (SELECT, INSERT, UPDATE, DELETE) using a fully visual, point-and-click interface without typing complex commands manually.
Whether you forget the exact syntax for a complex JOIN or WHERE clause, or simply want to safely draft queries without typographical errors, this no-code SQL generator flexibly accommodates complex conditional structures with ease.

Articles for this tool

Introduction
2026-05-06

How to Build SELECT and JOIN Queries Visually with a SQL Builder

Assemble SELECT, WHERE and JOIN clauses in your browser with a visual SQL builder. Useful for learning SQL, extracting data, and drafting queries before review.

Introduction
2026-08-03

How CREATE TABLE Generation From a Visual Table Design Works | DDL Builder

A look inside DDL Builder, which turns a visually designed table into CREATE TABLE statements and an ER diagram. Covers the MySQL/PostgreSQL/SQLite type-mapping rules and the column-inference algorithm used for JSON samples.

Use Case
2026-08-06

SQL Clause Order Reference: Why WHERE Can't See Your SELECT Alias

The order you write SQL clauses is not the order the database runs them. A reference for the logical execution order (FROM → WHERE → GROUP BY → HAVING → SELECT → ORDER BY → LIMIT), why aliases fail in WHERE, when to use WHERE vs HAVING, and the MySQL/PostgreSQL differences that bite.

Use Case
2026-08-04

CREATE TABLE Reference: MySQL vs PostgreSQL vs SQLite Types & Constraints

A cross-database CREATE TABLE (DDL) reference with cheat sheets for data types, auto-increment keys (AUTO_INCREMENT / IDENTITY / rowid), foreign key ON DELETE behavior, and the CHECK constraint that MySQL silently ignores.

Use Case
2026-07-21

SQL JOIN Types: Complete Reference to INNER, LEFT, RIGHT & FULL

A reference for SQL JOIN types (INNER/LEFT/RIGHT/FULL/CROSS/SELF) with a cheat sheet and row-count walkthroughs. Covers why one-to-many joins duplicate rows, the WHERE-vs-ON NULL trap, and how to write multi-table joins.

Recent Articles

Use Case
2026-08-07

curl Options Cheat Sheet: What -X, -H and -d Actually Do

A reference for the curl options you meet in real API work: why -d already implies POST, how -d differs from --data-raw, the @ prefix that silently reads a file, single vs double quotes, and why -k and -L deserve more caution than they usually get.

Introduction
2026-08-06

Converting Between JSON Schema and Zod: How required Maps to .optional()

Inside a two-way converter that turns JSON Schema into a Zod schema and Zod code back into JSON Schema. Covers the inverted defaults between required and .optional(), the constraint mapping table, and how the Zod side is parsed without executing any code.

Use Case
2026-08-06

SQL Clause Order Reference: Why WHERE Can't See Your SELECT Alias

The order you write SQL clauses is not the order the database runs them. A reference for the logical execution order (FROM → WHERE → GROUP BY → HAVING → SELECT → ORDER BY → LIMIT), why aliases fail in WHERE, when to use WHERE vs HAVING, and the MySQL/PostgreSQL differences that bite.

Use Case
2026-08-06

Unified Diff Format Reference: Reading @@ Hunks in git diff Output

How to read the unified diff format git produces: what the four numbers in @@ -12,7 +12,9 @@ mean, why a one-character edit shows as a whole-line replacement, the whitespace and line-ending traps, \ No newline at end of file, combined @@@ diffs on merges, and rename detection via similarity index.

Use Case
2026-08-06

UTC to JST Reference: The 9-Hour Offset, Cheat Sheet & Timezone Pitfalls

Convert between UTC and JST (Japan Standard Time) with a cheat sheet. Covers what Z and +09:00 mean in ISO 8601, when JavaScript date parsing silently shifts by 9 hours, MySQL/PostgreSQL timezone behavior, and why GitHub Actions cron always runs in UTC.

Use Case
2026-08-04

CREATE TABLE Reference: MySQL vs PostgreSQL vs SQLite Types & Constraints

A cross-database CREATE TABLE (DDL) reference with cheat sheets for data types, auto-increment keys (AUTO_INCREMENT / IDENTITY / rowid), foreign key ON DELETE behavior, and the CHECK constraint that MySQL silently ignores.

Ad

Ad