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dbForge Data Generator for SQL Server

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Pricing from
$189.95 per year
Free Trial
Free version unavailable
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  1. Real estate and property management
  2. Banking and insurance
  3. Retail and wholesale

What is dbForge Data Generator for SQL Server

dbForge Data Generator for SQL Server is a Windows desktop tool for generating synthetic test data in Microsoft SQL Server databases. It targets database developers, QA engineers, and testers who need to populate schemas with realistic-looking data for functional testing, performance testing, and demos. The product focuses on rule-based data generation across related tables, including support for constraints and referential integrity. It is part of the dbForge tooling family and is designed specifically for SQL Server environments.

pros

SQL Server-focused data generation

The product is purpose-built for Microsoft SQL Server, which simplifies setup for teams standardizing on that database platform. It generates data directly into database tables rather than requiring application-level test harnesses. This makes it practical for database-centric testing workflows such as stored procedure validation and query performance checks. The SQL Server specialization can reduce configuration overhead compared with broader, cross-platform testing suites.

Rule-based, relationally consistent data

It supports generating data using configurable generators and rules that can align with column data types and expected formats. The tool is designed to populate multiple related tables while respecting relationships, which helps maintain referential integrity in test datasets. This is useful when tests depend on realistic parent/child record structures. It can reduce manual scripting needed to create coherent datasets.

Useful for load and regression tests

By producing large volumes of synthetic data, it supports performance and scalability testing scenarios where dataset size materially affects query plans and execution time. It also helps create repeatable baseline datasets for regression testing of database changes. Teams can use it to quickly refresh environments after schema updates. This addresses a common gap in testing stacks that focus on UI or API validation rather than database state.

cons

Limited to SQL Server

The product is designed for Microsoft SQL Server and does not primarily address multi-database estates. Organizations using multiple database engines may need additional tools to cover other platforms. This can increase tooling fragmentation across teams. Portability of generation configurations may be limited outside SQL Server.

Not an end-to-end test platform

It generates test data but does not replace broader testing capabilities such as test case management, user research, bug capture, or CI/CD orchestration. Teams still need separate tools for executing automated tests, collecting user feedback, and managing test runs. As a result, it typically fits as a component within a larger QA toolchain. Integration effort may be required to align data generation with automated pipelines.

Synthetic data governance considerations

While synthetic data reduces reliance on production copies, teams must still define rules to avoid inadvertently reproducing sensitive patterns or identifiers. The quality of generated data depends on how well generators and constraints reflect real-world distributions. For complex domains, configuration can take time and may require subject-matter input. Without careful setup, tests may pass on synthetic data but fail on production-like edge cases.

Plan & Pricing

Plan Price Key features & notes
Standard (Subscription) $189.95 per year Full-featured edition; 15+ basic generators; 200+ meaningful generators; command-line interface; listed on product page as "Start from $189.95 per year".
Perpetual license (Standard) Price not listed on official site — contact sales Devart states a perpetual-license option is available (perpetual grants lifetime access with a selected period of support/upgrades) but the product page/ordering page does not display a perpetual price.

Seller details

Devart
Prague, Czech Republic
1997
Private
https://www.devart.com/
https://x.com/devart
https://www.linkedin.com/company/devart/

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