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Best Softbuilder SB Data Generator Alternatives ranked by AI · updated Aug 2026

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SB Data Generator is a database test-data generation tool for developers and database administrators. It creates realistic, configurable records for populating relational databases during development and testing.

Developer: Softbuilder Price: N/A 🎯 soft-builder.com/sb-data-generator

Top 6 Softbuilder SB Data Generator alternatives

πŸ’‘ Pick it for polished, schema-aware test-data generation focused on SQL Server.

Redgate SQL Data Generator is a popular tool for creating large volumes of test data for SQL Server databases. While not Oracle-specific,...

Pros

  • Robust data generation capabilities
  • Supports SQL Server databases

Cons

  • Higher price point and not Oracle-specific

πŸ’‘ Pick it when you need quick, realistic mock datasets in many export formats.

Mockaroo is a data mocking tool that allows users to generate custom data sets for testing and development.

Pros

  • Highly customizable
  • Supports various data formats

Cons

  • Learning curve for complex data structures
  • Limited free tier features

Free with paid plans available

πŸ’‘ Pick it for a feature-rich SQL Server desktop workflow with extensive generator customization.

dbForge Data Generator for SQL Server populates SQL Server databases with realistic test data. It targets database developers and testers who need...

Pros

  • Deep SQL Server schema integration and dependency handling
  • Offers many built-in generators and custom value rules
  • Useful visual workflow for database developers

Cons

  • Limited to SQL Server compared with multi-database tools
  • Commercial licensing is less attractive for occasional use
  • Heavier installation than browser-based generators
4

Generatedata

Generatedata.com

πŸ’‘ Pick it for a free, open-source generator that exports mock data in common formats.

Generatedata is an open-source web application for creating customized datasets with configurable fields and data types. It serves developers and testers who...

Pros

  • Self-hostable and free for teams that prefer local control
  • Offers a simpler visual workflow than Faker
  • Exports common formats such as CSV, JSON, and SQL

Cons

  • Less powerful relationship modeling than Mockaroo
  • Requires more manual work for direct database population
  • Smaller ecosystem and less polished hosted experience than commercial tools
5 Faker logo

πŸ’‘ Pick it when developers want programmable fake data generation embedded directly in test code.

Faker is a Ruby library that generates fake data such as names, addresses, phone numbers, and more for testing and seeding databases.

πŸ’‘ Pick it for an open-source, programmable alternative in Java-based test and seeding pipelines.

DataFaker is a lightweight data generation tool with basic features.

Pros

  • Simple interface
  • No cost

Cons

  • Limited data types
  • No advanced options

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