Want to import multiple CSV files into a single Azure table?
Try Withdata FileToDB, a desktop CSV to Azure converter for Windows, MacOS, and Linux, Convert CSV 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 CSV files to online services.
- Support Windows, Linux, and macOS.
Import multiple CSV files into a single Azure table
Login to Azure -> Choose CSV files -> Set Azure table -> Import CSV files to Azure table
Choose Azure and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “CSV” file type.
then show the wizard.
1. Select a folder that constains CSV files.
Support large ( > 4GB ) CSV files.
2. Config first CSV file importing options.
3. Select a Azure table and config fields.
4. Preview data will be in Azure table.
5. Import multiple CSV files to the Azure table.
View imported data in Azure table
Import multiple CSV files to Azure in command line
Save “multiple CSV files to Azure” session, then you can:
- Import multiple CSV files to Azure in Windows command line.
- Import multiple CSV files to Azure in Linux command line.
- Import multiple CSV files to Azure in macOS command line.
Set scheduled tasks for importing multiple CSV files to Azure
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to Azure” conversion.
- Set scheduled task for “CSV to Azure” conversion.
FAQ
More about Withdata FileToDB – CSV to Azure converter
Download Withdata FileToDB
See also:
CSV → Azure SQL reference
Type mapping
| Value kind | in CSV | in Azure SQL |
|---|---|---|
| Int | 1234 | int |
| Bigint | 9007199254740993 | bigint |
| Decimal | 1234.56 | decimal(p,s) |
| Float | 1.234e+10 | float |
| Text | quoted only when it contains a comma or a quote | nvarchar(n) |
| Long text | must be quoted; line breaks inside force multi-line records | nvarchar(max) |
| Date | 2026-09-18 | date |
| Datetime | 2026-09-18 14:30:00 | datetime2 |
| Binary | not representable - base64 or hex string | varbinary(max) |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | bit |
| JSON | the whole JSON value quoted, with internal quotes doubled | nvarchar(max) |
Dialect differences
CSV 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 CSV | in Azure SQL |
|---|---|---|
| port | — | 1433 |
| identifiers | Double quotes; a literal quote is doubled ("" ) | [square brackets] |
| row limit | — | SELECT TOP n |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | datetime2, date, time |
| long text | — | nvarchar(max) |
| binary | Not supported | varbinary(max) |
| separator | Comma "," | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Flat table, optional header row | Tables of rows and columns |
| ceiling | No formal limit; row count bounded by 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.
