Export multiple similar SQL Server tables to one JSON file

Want to export data from multiple similar SQL Server tables to one JSON file?

Try Withdata DBToFile, a SQL Server to JSON converter for Windows, Linux, and macOS, Export SQL Server data to JSON, Easy and Fast.

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Export multiple similar SQL Server tables to a single JSON file

Login to SQL Server -> Select SQL Server tables -> Set JSON file options -> Export SQL Server to JSON

Choose SQL Server and logon.

Export multiple similar SQL Server tables to one JSON File - Choose SQL Server and logon

Click “Export Similar Tables” at task dialog.

Export multiple similar SQL Server tables to 1 JSON File - task window

Select JSON file type.

Export multiple similar SQL Server tables to a single JSON File  - select JSON file type

1. Select similar SQL Server tables.

Unload multiple similar SQL Server tables to 1 JSON File  - select table

2. Set JSON file options.

Extract multiple similar SQL Server tables to 1 JSON File  - enter file name

3. Set rows options.

Convert multiple similar SQL Server tables to 1 JSON File  - summary

4. Export multiple similar SQL Server tables to a single JSON file.

Dump multiple similar SQL Server tables to 1 JSON File  - export

After exporting, you can view output JSON file.

Export multiple similar SQL Server tables to a single JSON File  - view JSON file


More about SQL Server to JSON converter

See also:

SQL Server → JSON reference

Type mapping

Value kindin SQL Serverin JSON
Intint1234 (number)
Bigintbigint9007199254740993
Decimaldecimal(p,s)1234.56 (number)
Floatfloat1.234e10 (number)
Textnvarchar(n)"text" (string)
Long textnvarchar(max)"multi-line\ntext" (escaped newline inside a string)
Datedate"2026-09-18" (string)
Datetimedatetime2"2026-09-18T14:30:00Z" (string)
Binaryvarbinary(max)"base64:..." (string)
Booleanbittrue / false (boolean)
JSONnvarchar(max)nested object or array, kept as structure

Dialect differences

SQL Server is a database server and JSON is a file format, so the gap is wider than a dialect difference – the rows below are where values and structure stop lining up.

Propertyin SQL Serverin JSON
port1433—
identifiers[square brackets]Double quotes; backslash escapes
row limitSELECT TOP n—
datesdatetime, datetime2, date, timeNo date type: dates arrive as strings and the reader must p...
long textnvarchar(max)—
binaryvarbinary(max)Not supported natively - base64 inside a string
separator—Braces and commas
encoding—UTF-8 by definition
typing—string, number, boolean, null, object, array - no date type
shapeTables of rows and columnsNested objects and arrays
ceiling—Whole document is usually parsed into memory

Command line

SideCommand
SQL Serverbcp
SQL Server (load)bcp, or BULK INSERT

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