SQL query builder
Build a SELECT query with joins, filters, grouping, and sorting without typing every clause by hand. Everything runs in your browser and updates live as you edit.
Add columns, joins, filters, and sort rules below. The builder creates a readable SQL query and a short English summary of what it does.
Selected columns
Add one column or SQL expression per row.
Joins
Build join clauses with aliases and ON conditions.
Filters
Combine multiple WHERE clauses with AND.
Order by
Add one or more sort rules for the final result.
Summary
Plain EnglishAdd a table name to generate a SQL query.
What is a SQL query builder?
A SQL query builder helps you assemble a query from structured inputs instead of writing every clause from scratch. That is especially useful when you need to combine joins, filters, grouping, ordering, and limits quickly but still want readable SQL at the end.
It is not a replacement for knowing SQL. Instead, it speeds up the repetitive parts: remembering clause order, formatting the final query, and turning a rough idea into a clean starting point you can paste into your editor, BI tool, or database console.
When this builder is useful
- Creating a first draft of a reporting or analytics query
- Teaching teammates the structure of SELECT, JOIN, WHERE, and GROUP BY clauses
- Building aggregate queries without forgetting clause order
- Quickly turning spreadsheet logic into SQL filters and sorts
- Generating readable SQL for docs, tickets, and pull requests
How the generated SQL works
The builder starts with a table, then layers on selected columns, joins, WHERE filters, grouping, ordering, and an optional LIMIT. Values in filters are normalized into SQL-friendly literals where possible, and the final statement is formatted for readability. You still control the actual column names, aliases, and expressions, so the output stays flexible enough for real-world queries.
From query drafts to real dashboards
If you are building SQL to answer business questions, Basedash can take you further than a static draft. Describe the chart or metric you want in plain English, and Basedash writes the SQL, runs it against your connected data, and renders the visualization. It works with PostgreSQL, MySQL, BigQuery, Snowflake, and hundreds of other data sources.
FAQ
What kind of SQL can this builder generate?
This page focuses on SELECT queries. You can configure the table, selected columns, joins, filters, group by columns, order by rules, and a row limit, then generate formatted SQL instantly.
Is my query data sent to a server?
No. Everything runs entirely in your browser using JavaScript. Your table names, filters, and generated SQL never leave your device.
Can I build aggregate queries?
Yes. Add expressions like COUNT(*), SUM(amount), or AVG(score) in the selected columns list, then enter one or more group by columns to generate an aggregate query.
How are filter values handled?
The builder treats plain text values as SQL strings, keeps numbers and booleans unquoted, supports comma-separated lists for IN clauses, and skips the value field for IS NULL or IS NOT NULL filters.
Does this validate my schema?
No. It only helps you compose readable SQL text. It does not verify that your tables, aliases, columns, or join conditions exist in a real database.
Can I use aliases and expressions?
Yes. Inputs accept flexible SQL snippets like users u, SUM(o.total) AS revenue, DATE_TRUNC('month', created_at), or o.created_at so you can build realistic queries quickly.
Skip the query drafting step with AI
Connect your data and describe what you want to see. Basedash writes the SQL, runs it, and turns the result into a chart or dashboard.