SynthForge IO

Generate SQL Server Test Data

Generate production-ready SQL Server datasets with BULK INSERT commands, NVARCHAR Unicode columns, and full foreign key integrity, ready for SSMS.

BULK INSERTNVARCHARFK constraintsINTEGER PRIMARY KEYUnicode supportT-SQL

SQL Server SQL output preview

Here's what SynthForge IO generates for SQL Server, ready to run.

sql-server.sql
CREATE TABLE [customers] (
    [id]         INT PRIMARY KEY,
    [name]       NVARCHAR(120) NOT NULL,
    [email]      NVARCHAR(255) UNIQUE NOT NULL,
    [tier]       NVARCHAR(20) DEFAULT N'free',
    [created_at] DATETIME2 DEFAULT GETDATE()
);

CREATE TABLE [orders] (
    [id]          INT PRIMARY KEY,
    [customer_id] INT NOT NULL FOREIGN KEY REFERENCES [customers]([id]),
    [total]       DECIMAL(10,2) NOT NULL,
    [status]      NVARCHAR(20) DEFAULT N'pending',
    [placed_at]   DATETIME2 DEFAULT GETDATE()
);

-- Bulk load via BULK INSERT (fastest for SQL Server)
BULK INSERT [customers]
FROM '/tmp/customers.csv'
WITH (FORMAT = 'CSV', FIRSTROW = 2, FIELDTERMINATOR = ',');

Built for SQL Server

Every export is optimized for SQL Server's specific syntax, types, and bulk loading commands.

BULK INSERT Commands

Generated exports include BULK INSERT statements, SQL Server's fastest method for loading large CSV datasets without row-by-row overhead.

NVARCHAR Unicode Types

String columns use NVARCHAR with N-prefixed literals for full Unicode support. Long text and JSON fields use NVARCHAR(MAX).

Foreign Key Integrity

Full referential integrity with FOREIGN KEY REFERENCES constraints. All relationships are valid, and tables are created in dependency order.

Bracket-Quoted Identifiers

Table and column names use [bracket] quoting following SQL Server conventions, avoiding reserved word conflicts.

Who uses SQL Server test data?

Enterprise Dev Teams

Populate development and QA SQL Server instances with realistic datasets that mirror production schemas without exposing sensitive data.

.NET Developers

Seed Entity Framework and Dapper projects with consistent test data. SQL exports work directly with LocalDB, SQL Server Express, and Azure SQL.

BI & SSRS Report Builders

Generate fact and dimension tables with realistic distributions for testing SSRS reports, Power BI dashboards, and SSIS packages.

NVARCHAR & BULK INSERT

SynthForge IO generates idiomatic T-SQL that works in SSMS, sqlcmd, and Azure Data Studio without modifications.

NVARCHAR Unicode

All string columns use NVARCHAR with N-prefixed literals for full Unicode support, matching SQL Server best practices for international data.

NVARCHAR(MAX) for Text

Long text fields and JSON content use NVARCHAR(MAX), supporting up to 2GB of Unicode text per value, ideal for flexible schema columns.

BULK INSERT Performance

BULK INSERT loads CSV data directly into tables at maximum speed, bypassing the query processor for dramatically faster imports.

Bracket-Quoted Names

All identifiers use [bracket] quoting to avoid conflicts with T-SQL reserved words and support special characters in names.

Also available for

Frequently asked questions

What SQL Server versions does SynthForge IO support?
SynthForge IO generates T-SQL compatible with SQL Server 2016 and later, including SQL Server 2019, 2022, and Azure SQL Database. The DDL uses DATETIME2, NVARCHAR, and other modern types available across all supported versions.
Can I use BULK INSERT with the generated data?
Yes. SQL Server exports include BULK INSERT commands paired with CSV data files. BULK INSERT is SQL Server's fastest import method for large datasets. The generated format options (field terminators, first row skip) are pre-configured for the CSV output.
Does it use NVARCHAR for string columns?
Yes. All string columns use NVARCHAR with appropriate lengths (e.g., NVARCHAR(120) for names, NVARCHAR(MAX) for long text). String literals use the N prefix (N'value') for proper Unicode handling.
Can I import the data into Azure SQL Database?
Yes. The generated T-SQL is fully compatible with Azure SQL Database. For bulk loading in Azure, you can use the CSV files with Azure Data Factory, bcp utility, or OPENROWSET with Azure Blob Storage.
How does SynthForge IO handle SQL Server identifiers?
Table and column names are wrapped in [brackets] following SQL Server conventions. This avoids conflicts with reserved words and supports identifiers that contain spaces or special characters.

Start Generating SQL Server Test Data

Design your schema, configure field types, and export production-ready SQL Server SQL in seconds.