EMS Data Generator for DB2 is a tool designed to generate test data for DB2 database tables, allowing users to simulate production environments by populating multiple tables with customizable, realistic data. It supports script editing, value range definitions, and automation through templates and a command-line utility.

Key Features

Unicode support Handles multilingual data and international character sets.

• Ensures compatibility with global datasets
• Supports non-English data generation

User-friendly wizard interface Guides users through the data generation process.

• Simplifies configuration
• Reduces learning curve

Script saving and editing Allows saving and editing of generated data as SQL scripts without immediate execution.

• Enables review and modification before applying to the database
• Supports offline script management

Multi-table and multi-database support Generates data for several tables across different databases on the same host.

• Efficient for complex environments
• Reduces repetitive tasks

Flexible data generation Supports lists, random, incremental, and multi-field generation.

• Customizes data for realistic scenarios
• Adapts to varied testing needs

SQL query integration Uses SQL query results as value sources for generation.

• Leverages existing data for test scenarios
• Enhances data relevance

Referential integrity control Automatically maintains relationships between linked tables.

• Prevents data consistency issues
• Ensures valid test datasets

Preview and configuration Previews generated data and saves session parameters to configuration files.

• Allows validation before execution
• Facilitates repeatable processes

Command-line utility Generates data using template files via console application.

• Supports automation and scripting
• Enables integration with CI/CD pipelines

Benefits

Accelerated test data creation Speeds up the process of populating DB2 databases with realistic test data.

• Reduces manual effort
• Increases testing efficiency

Improved data quality and consistency Ensures generated data adheres to referential integrity and defined constraints.

• Minimizes test failures due to invalid data
• Supports comprehensive testing scenarios

Customizable and reusable configurations Allows saving generation parameters for repeated use.

• Streamlines recurring test setups
• Enhances productivity for QA teams