Visual Pivot Table Builder
Paste or upload your data, pick which fields are rows, columns, and values, choose your aggregate — and instantly see a rendered pivot table alongside the SQL query that reproduces it in your database.
What This Tool Does
Generates SQL PIVOT queries visually — enter your source table, pivot column, row label, and aggregate function, and the tool writes the correct PIVOT syntax for your target database dialect.
Who This Is For
- Data analysts who need crosstab reports but struggle with PIVOT syntax
- SQL developers who rarely write PIVOT queries and need a verified template
- Business intelligence engineers generating pivot SQL for reporting layers
- SQL learners studying the PIVOT pattern through concrete, executable examples
Example: Input: Source: sales table · Row: region · Column: quarter · Aggregate: SUM(revenue) → Output: A complete SQL PIVOT query with the correct syntax for MySQL, PostgreSQL, or SQL Server — ready to run
📚 New tutorial: How to Use the Visual Pivot Table Builder — Step-by-Step with Screenshots — three fully worked examples (sales by region, headcount by department, order status breakdown) with screenshots of every step.
Visual to SQL Workflow
Build visually, then generate production SQL:
- Static PIVOT generator — generate PIVOT SQL when column values are known
- Dynamic PIVOT — for column values discovered at runtime
- UNPIVOT — normalize wide tables back to row format
- Format the generated SQL before adding to your codebase
What Is a Pivot Table?
A pivot table rotates data from a tall, normalised format into a wide cross-tabulation. Instead of rows like East, Q1, 12400 and West, Q1, 15200, a pivot surfaces those side by side: one row for each region, one column for each quarter, with the aggregate value in each cell.
This tool does two things simultaneously: it renders the pivot table visually from your data, and it generates the SQL query that would reproduce the same result inside your database — whether that's SQL Server, PostgreSQL, MySQL, or a generic ANSI-compatible engine.
How the Fields Work
- Row Field — the field whose values group the rows. Region, Product, Department. One output row per distinct value.
- Column Field — the field whose distinct values become column headers. Quarter, Category, Status. One output column per distinct value.
- Value Field + Aggregate — the numeric field to summarise in each cell. SUM for revenue and quantities, COUNT for transaction counts, AVG for rates, MIN/MAX for ranges, COUNT DISTINCT for unique counts.
How the SQL Is Generated
SQL Server (T-SQL) has a native PIVOT operator. The output wraps your table in a CTE, applies PIVOT(AGG(value) FOR colField IN ([v1],[v2]...)) with the actual distinct column values from your data hardcoded in the IN clause.
PostgreSQL and MySQL don't have a native PIVOT operator — the tool generates equivalent conditional aggregation: one SUM(CASE WHEN col_field = 'value' THEN value_field END) expression per pivot column. This is standard ANSI SQL and runs in any database.
The SQL uses the actual distinct values found in your data, so the output is specific to your dataset and is ready to run — not a template you have to fill in.