Publisher
Red Gate SoftwareSubcategories
Average rating
Deze score is berekend door AI op basis van publiek beschikbare informatie.
4.4 / 5
About this software
Redgate SQL Data Generator populates SQL Server tables and whole databases with realistic test data from within SQL Server Management Studio or via the command line. It offers over 60 built-in generators, column-intelligent suggestions, foreign key support, seeded randomisation, and the ability to create custom generators with regex, SQL, or Python. Typical users include developers, testers, and database administrators who need realistic, repeatable datasets for development, testing, or performance evaluation.
Purchase
Redgate SQL Data Generator
In Stock
Delivery: 1 working day
Loading...
€290.64
Free and without obligation
Do you need more information or looking for another license?
Benefits
- Fast data population: Populate large tables quickly from the UI or command line.
- Column-intelligent generators: Automatically suggest realistic values based on column names and types.
- Foreign key support: Generate consistent related rows across multiple tables preserving referential integrity.
- Custom generators: Create and share custom generators using regex, SQL, or Python scripts.
- Repeatable outputs: Seeded random generation creates reproducible datasets for consistent testing.
Available languages
- English
Support information
- Documentation and release notes: Comprehensive product documentation and release notes are available on Redgate's documentation site.
- Community forums: Product forums host user discussions, Q&A, and Redgate responses for troubleshooting.
- Product support portal: Access technical support and submit tickets through Redgate's product support portal.
- Downloads and updates: Installers and product updates are available from the SQL Data Generator product download pages.
- Learning resources: Hub articles, how-to guides, and tutorials provide practical usage examples and tips.
Frequently asked questions
What is Redgate SQL Data Generator used for?
Used to generate realistic test data and populate SQL databases for development, testing, and demonstrations, with customizable generation rules and preservation of relational integrity.
Can it preserve database relationships and referential integrity when generating data?
Yes; generation respects foreign keys and constraints so produced datasets reflect the database schema's relational rules.
How can generated data be customized to match application scenarios?
By configuring value ranges, data patterns, and column-specific rules to reflect real-world formats, distributions, and business logic.
How is the generated data applied to a database or exported?
Generated records can be inserted into target databases or saved as scripts or data files for loading into other environments.
What are common use cases for SQL data generation in development workflows?
Populating development and test environments, creating realistic samples for functional and performance testing, and providing data for debugging and demos.