Want to import data from JSON array to SQL Server ?
Try Withdata FileToDB, a desktop JSON array to SQL Server converter for Windows, MacOS, and Linux, Import JSON array 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.
Import data from JSON array to SQL Server
Login to SQL Server -> Choose JSON array file -> Set SQL Server table -> Import JSON array to SQL Server
Choose SQL Server and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Open a JSON array file.
Support large ( > 4GB ) JSON array file.
Here is the file’s content.
FileToDB will parse JSON array.
2. Select a SQL Server table and config fields.
3. Preview data will be in SQL Server table.
4. Import JSON array data to SQL Server.
View imported data in SQL Server table
Convert JSON array to SQL Server in command line
Save “JSON array to SQL Server” session, then you can:
- Import JSON array to SQL Server in Windows command line.
- Import JSON array to SQL Server in Linux command line.
- Import JSON array to SQL Server in macOS command line.
Set scheduled tasks for converting JSON array to SQL Server
You can schedule and automate this “JSON array to SQL Server” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to SQL Server” conversion.
- Set scheduled task for “JSON array to SQL Server” conversion.
FAQ
More about Withdata FileToDB – JSON Array to SQL Server converter
Download Withdata FileToDB
JSON Array → SQL Server reference
Type mapping
| Value kind | in JSON Array | 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 Array 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 Array | 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.
