Want to bulk import JSON files into Azure tables at one time?
Try Withdata FileToDB, a desktop JSON to Azure converter for Windows, MacOS, and Linux, Batch import JSON to Azure, 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.
Bulk import JSON files into Azure tables
Login to Azure -> Choose JSON files -> Set Azure tables -> Import JSON files to Azure tables
Choose Azure and logon.
Click “Wizard – N Files To N Tables” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
2. Config first JSON file importing options.
3. Set “Import Type”.
4. Map Azure tables to JSON files.
5. Summary. Set “Convert Rows” and “Skip Rows” if need.
6. Import JSON files to Azure tables, 1 file to 1 table, one by one.
View imported data in Azure table
Bulk import JSON files into Azure tables in command line
Save “bulk JSON files to Azure tables” session, then you can:
- Bulk import JSON files into Azure tables in Windows command line.
- Bulk import JSON files into Azure tables in Linux command line.
- Bulk import JSON files into Azure tables in macOS command line.
Set scheduled tasks for bulk importing JSON files into Azure tables
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to Azure” conversion.
- Set scheduled task for “JSON to Azure” conversion.
FAQ
More about Withdata FileToDB – JSON to Azure converter
Download Withdata FileToDB
See also:
JSON → Azure SQL reference
Type mapping
| Value kind | in JSON | in Azure SQL |
|---|---|---|
| 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 Azure SQL 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 Azure SQL |
|---|---|---|
| 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... | 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 |
|---|---|
| Azure SQL | bcp |
| Azure SQL (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.
