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How to generate large volumes of SQL Server test data

Whenever a developer tests a new or updated database, they need realistic test data to work with. Moreover, they want to get that data fast and in any required volumes. This is where dbForge Data Generator comes into play. It comprises 200+ highly customizable individual generators that produce column-intelligent dummy data - and it takes only a couple of clicks to populate your databases with it.

  • Generate dummy data for SQL Server without much effort
  • Keep your data consistent across all tables
  • Preserve inter-column data dependencies with domain-level data integrity
  • Fill your databases with generated data automatically
  • Create, tweak, and share custom generators with your team
  • Automate data generation from the command line
  • Integrate Data Generator into SQL Server Management Studio

Domain integrity-aware test data generation

When you fill databases with data produced by the Generator, you preserve their domain-level integrity and ensure overall data consistency and completeness.

Why choose Data Generator?

Integrated AI Assistant

dbForge Data Generator includes an integrated AI Assistant that will completely reinvent your experience of SQL development with the following features.

  • Context-aware query generation
  • Conversion of natural language to SQL
  • Query optimization
  • SQL explanations and troubleshooting
  • Error analysis and clarifications
  • AI chat
  • Web search

Basic generators

dbForge Data Generator comprises a collection of 15+ basic random data generators that can be individually customized to match your requirements.

  • Check Constraint
  • Constant
  • Datetime
  • Foreign Key
  • JSON
  • Regular Expression
  • Shuffled Text
  • SQL Query
  • String
  • Table or View
  • Text File
  • Weighted List

Meaningful generators

If you need something more complex, you get 200+ meaningful generators that produce realistic data for your tables.

  • IDs
  • Postal codes
  • Phone numbers
  • Birth dates
  • Countries
  • Credit card numbers
  • Emails
  • Social insurance numbers
  • First & last names
  • Product categories
  • Random numbers
  • ...and much more!

User-defined generators

If you need even greater flexibility, you can easily create, save, and share custom-tailored generators that will perfectly meet your specific data generation tasks. Moreover, you won't need to reconfigure existing generators over and over again.

Support for all column data types

Data Generator supports a massive range of column data types, including but surely not limited to the following.

  • GEOGRAPHY
  • GEOMETRY
  • HIERARCHYID
  • DATETIME2
  • DATETIMEOFFSET
  • XML

Use the vast capabilities of our tool to generate data for SQL Server with maximum precision.

Automation

If you want to have Data Generator as part of your streamlined database development process, you will definitely benefit from its automation features.

  • Save your data generation settings to reusable projects
  • Run data generation from the command line
  • Save your data population settings to command-line execution files (.bat) and run them whenever you need
  • Schedule the execution of .bat files with Windows Scheduler
  • Integrate Data Generator, along with other dbForge tools, into your database DevOps

Data Generator included in dbForge SQL Tools bundle

Start from
$189.95
per year
Get the standalone tool
Key features
  • 15+ basic generators
  • 200+ meaningful generators
  • Full support for all data types
  • SQL data integrity support
  • Domain integrity support
  • Command-line interface
Trusted by thousands of data-driven companies
Barkley
Arconic
Polaris
Jabil
HP
Lam
Microsoft
Trusted by thousands of data-driven companies
Barkley Arconic Polaris Jabil HP Lam Microsoft

We have data generators to cover everything you might need

Basic

Basic

Populate tables with various types of values using basic demo data generators such as Python, RegExp, Lorem Ipsum, Text File, Files Folder, Weighted List, and many others.
IT

IT

Populate database with realistic random data associated with information technology, including IPv4 and IPv6 addresses, as well as MAC addresses, file extensions, file names, file paths, etc.
Health

Health

Create exhaustive random data related to health care: drug names, diagnoses and procedures, drug codes, etc.
Business

Business

Emulate test data of a company's database with departments, industry sectors, IMO, SEDOL, NAICS, and ISIC Rev4.
Location

Location

Generate country-specific demo data for real localized values, such as first names (female and male), last names, addresses, streets, cities, phones (USA, Canada, UK, Germany, Australia).
Payment

Payment

Fill payment-related tables with credit card details, currencies, VATID, IBAN, SWIFT-BIC, ABA RTN codes, and more.
Person

Person

Create large volumes of personal sample data from names and emails to honorific prefixes, job titles, and social security numbers.
Product

Product

Generate dummy data for product tables with such attributes as product names, descriptions, categories, shipping methods, sizes, weights, colors, and more.

What our customers say?

+50%
productivity boost
100%
error-free updates
"dbForge Data Generator for SQL Server unblocked our research project! Indirectly, this will help real data providers understand our objectives and eventually share real data with us."
Daniel Amyot, Professor
Success story from our customer
Easy Implementation Winter 2025
Fastest Growing Products 2024
Customers LoveUs
Software Most Loved

Ready to get started?

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Get your 30-day trial

Give our random SQL data generator a go during a FREE 30-day trial and see all of its powerful and versatile capabilities in action.

Get a free trial now
Buy multiple licenses with a substantial discount

Enjoy bulk discounts

We offer flexible purchasing options to meet your budget. Also, if you need multiple licenses, you will get a bulk discount.

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Need a hand?

Need a hand?

If you need any help or have questions about our tools or purchasing options, feel free to get in touch with our team.

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Frequently asked questions

What are the specific types of basic data generators?

dbForge Data Generator for SQL Server offers the following basic data generators: Check Constraint, Constraint, Datetime, Files Folder, Foreign Key (Auto Assigned), Foreign Key (Manually Assigned), JSON, Lorem Ipsum, Python, Regular Expression, Shuffled Text, SQL Query, String, Table or View, Text File, Twaddle, Uniqueidentifier, and Weighted List.

How does the tool handle generating complex relationships between data?

One of the key features of our SQL dummy data generator is the preservation of inter-column data dependencies with domain-level data integrity.

What are the limitations of the free trial?

The free trial of a dbForge product typically lasts for 30 days (or 14 days for a few select products) and offers the said product in the highest available edition for detailed exploration.

In other words, there are no limitations other than the duration of the trial.

How does dbForge Data Generator integrate with CI/CD pipelines?

You can use Data Generator along with dbForge DevOps Automation for SQL Server to extend your DevOps approach to SQL Server databases. The solution makes it easy to integrate multiple dbForge tools into your DevOps process without compromising quality, performance, or reliability.

Does dbForge Data Generator support other database systems besides SQL Server?

Yes. dbForge Data Generator is also available for MySQL/MariaDB, Oracle Database, and PostgreSQL.

Can I generate data based on existing data patterns?

This depends on what you actually need. There is a rich variety of basic, meaningful, and user-defined generators available in our tool. Each generator is dedicated to a specific type of data and has an individual set of settings to customize your experience.

What is the performance impact of generating large datasets?

If you need to generate SQL data in large volumes, it may naturally take its toll on performance. This depends on resource utilization, namely, CPU usage, RAM usage, and disk I/O. The population of a large dataset may also take some time.