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dbForge Data Generator for SQL Server

dbForge Data Generator for SQL Server

Generate meaningful, column-intelligent test data for SQL Server databases

Founded
1997
Starting Price
$0
Category
Developer Tools
Company Size
500-1000 employees
Last updated October 12, 2026

About dbForge Data Generator for SQL Server

dbForge Data Generator for SQL Server is a Windows desktop tool from Devart that fills SQL Server databases with realistic test data. It ships 15+ basic and 200+ meaningful generators (names, addresses, payment details, health and IT data) and keeps referential and domain-level integrity across tables. Generation can run from the GUI, inside SSMS, or from the command line for automated pipelines.

Pros & Cons

Pros

  • Large library of 200+ realistic generators covers most common test data needs out of the box
  • Preserves foreign keys and inter-column dependencies, so generated data stays consistent across tables
  • Command-line interface makes it usable in automated test and CI/CD workflows
  • Integrates directly into SQL Server Management Studio
  • Available as part of the dbForge SQL Tools bundle at a large discount over buying tools separately
  • 30-day full-featured trial and 30-day money-back guarantee on annual and perpetual licenses

Cons

  • Windows-only desktop software, with no web or macOS version
  • Supports SQL Server only; MySQL, Oracle, and PostgreSQL need separate Devart products
  • No free tier after the trial, and the perpetual license costs twice the annual subscription
  • Generation projects need re-saving as the schema changes, which adds friction for fast-moving databases
  • Few independent user reviews available

Key Features

200+ meaningful generators

Prebuilt generators for realistic person, location, business, payment, product, health, and IT data such as names, addresses, IBANs, credit cards, and IP addresses.

15+ basic generators

General-purpose generators including RegExp, Python, Lorem Ipsum, text file, files folder, and weighted list for custom value patterns.

Data integrity support

Keeps foreign-key relationships consistent across tables and preserves inter-column dependencies for domain-level integrity.

User-defined generators

Create, tweak, and save custom generators and share them with the rest of the team.

Full data type support

Generates values for all SQL Server column data types.

Command-line automation

Run saved generation projects from the command line to populate databases on a schedule or inside CI/CD pipelines.

SSMS integration

Works as an add-in for SQL Server Management Studio so you can generate data without leaving SSMS.

AI Assistant

Integrated assistant for natural-language-to-SQL, query optimization, SQL explanations, and error analysis.

Pricing

Free Trial
$0/30 days
  • Full-featured trial
  • All generators included
Standard Subscription
$199.95/year
  • Full-featured edition
  • 15 basic and 200+ meaningful generators
  • Data and domain integrity support
  • Command-line interface
  • Support and upgrades for the subscription term
  • Premium support available for $239.95/year
Standard Perpetual
$399.95/one-time
  • Lifetime license
  • One year of support and upgrades included
  • Support period extendable up to three years
dbForge SQL Tools bundle
$469.95/year
  • Data Generator plus 14 other SQL Server tools
  • SQL Complete, Schema Compare, Data Compare, Source Control, Unit Test, and more

Best For

Populating dev and test databases

Fill empty SQL Server schemas with realistic records so developers can build and test features without production data.

Load and performance testing

Generate large data volumes to measure query performance and index behavior before release.

Privacy-safe test environments

Replace copies of production data with synthetic personal and payment data to avoid exposing real customer information.

Automated CI/CD test data

Run saved generation projects from the command line to reset test databases on each build.

Research and demos

Create plausible datasets for academic research, training, or product demos when real data is unavailable.

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