Want to import multiple JSON files into a single SQL Server table?
Try Withdata FileToDB, a desktop JSON to SQL Server converter for Windows, MacOS, and Linux, Import JSON to SQL Server, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Convert locally and privately, avoid uploading large or private JSON file(s) to online services.
- Support Windows, Linux, and macOS.
Import multiple JSON files into a single SQL Server table
Login to SQL Server -> Choose JSON files -> Set SQL Server table -> Import JSON files to SQL Server table
Choose SQL Server and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
Support large ( > 4GB ) JSON file.
2. Config first JSON file importing options.
3. Select a SQL Server table and config fields.
4. Preview data will be in SQL Server table.
5. Import multiple JSON files to the SQL Server table.
View imported data in SQL Server table
Convert JSON files to SQL Server in command line
Save “JSON to SQL Server” session, then you can:
- Import multiple JSON to a single SQL Server table in Windows command line.
- Import multiple JSON to a single SQL Server table in Linux command line.
- Import multiple JSON to a single SQL Server table in macOS command line.
Set scheduled tasks for converting JSON files to SQL Server
You can schedule and automate this “JSON to SQL Server” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to SQL Server” conversion.
- Set scheduled task for “JSON to SQL Server” conversion.
FAQ
More about Withdata FileToDB – JSON to SQL Server converter
Download Withdata FileToDB
See also:
JSON → SQL Server reference
Type mapping
| Value kind | in JSON | in SQL Server |
|---|---|---|
| Int | 1234 (number) | int |
| Bigint | 9007199254740993 | bigint |
| Decimal | 1234.56 (number) | decimal(p,s) |
| Float | 1.234e10 (number) | float |
| Text | "text" (string) | nvarchar(n) |
| Long text | "multi-line\ntext" (escaped newline inside a string) | nvarchar(max) |
| Date | "2026-09-18" (string) | date |
| Datetime | "2026-09-18T14:30:00Z" (string) | datetime2 |
| Binary | "base64:..." (string) | varbinary(max) |
| Boolean | true / false (boolean) | bit |
| JSON | nested object or array, kept as structure | nvarchar(max) |
Dialect differences
JSON is a file format and SQL Server is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.
| Property | in JSON | in SQL Server |
|---|---|---|
| port | — | 1433 |
| identifiers | Double quotes; backslash escapes | [square brackets] |
| row limit | — | SELECT TOP n |
| dates | No date type: dates arrive as strings and the reader must p... | datetime, datetime2, date, time |
| long text | — | nvarchar(max) |
| binary | Not supported natively - base64 inside a string | varbinary(max) |
| separator | Braces and commas | — |
| encoding | UTF-8 by definition | — |
| typing | string, number, boolean, null, object, array - no date type | — |
| shape | Nested objects and arrays | Tables of rows and columns |
| ceiling | Whole document is usually parsed into memory | — |
Command line
| Side | Command |
|---|---|
| SQL Server | bcp |
| SQL Server (load) | bcp, or BULK INSERT |
Convert your data online, free
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.
