Databases

Import CSV data directly into SQL Server.

CSVbox maps spreadsheet columns to your SQL Server table schema, validates every row for type and format, and writes clean records. No SSIS, no BULK INSERT scripts, no custom ETL.

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Validated data only
Column mapping included
SOC 2 Type II + GDPR

SQL Server teams traditionally handle CSV imports with BULK INSERT, SSIS packages, or PowerShell scripts. These work for internal ETL pipelines but are not suitable for user-facing import flows where non-technical users upload spreadsheets with messy headers and inconsistent date formats.

CSVbox puts a polished import UI in front of your SQL Server tables. Users see a guided upload flow with column mapping and inline error correction. Only validated, properly typed rows reach your tables.

How It Works

1
Connect SQL Server
Add a SQL Server destination in the CSVbox dashboard. Provide your server address, database name, username, and password. Connections use TLS.
2
Select your table
Choose the target table. CSVbox reads column definitions, types, and constraints.
3
Map columns and choose write mode
Map schema fields to SQL Server columns. Select Insert (append) or Upsert (MERGE on a unique key column).
4
Embed and ship
Add the CSVbox widget to your app. Users upload files; validated rows land in your SQL Server table.

Time to first import: ~15 minutes.

SQL Server Type Handling

SQL Server Type	CSVbox Handling
VARCHAR / NVARCHAR	String, trimmed, length-checked
INT / BIGINT	Integer parsed; rejects decimals
DECIMAL / FLOAT	Numeric parsed; precision preserved
BIT	true/false, yes/no, 1/0 all handled
DATE / DATETIME	Multiple date formats normalized
UNIQUEIDENTIFIER	Validates GUID format
NULL	Empty cells become NULL or default