DTM Data Generator is a specialized software tool designed for developers, QA engineers, and database administrators to create realistic test data, populated tables, and database schema objects (tables, views, procedures, triggers). It is primarily used for populating test databases, performance analysis, and load testing. Key Features
Complex Data & Relationship Generation: The tool handles complex data dependencies and understands relational database structures, automatically resolving master-detail key relationships.
Intelligent Schema Analyzer: It can analyze existing database schemas to create realistic data without extensive manual configuration.
Built-in Value Libraries: Includes pre-defined data sets for fields like names, cities, countries, companies, and industries.
Built-in Functions & Expression Processor: Features over 70 built-in functions to define custom rules for data generation.
Database Support: Supports a wide range of database interfaces, including ODBC, OLE DB, and native Oracle Call Interface, along with IBM DB2, MySQL, Firebird, and SQL Server.
Data by Example: Allows users to create more realistic data by providing examples.
Saves Time: Automates the creation of large-scale test data, eliminating the need to enter data manually.
Ensures Realism: Generates meaningful and context-aware data, which is crucial for accurate performance and QA testing.
Flexible Output: Capable of generating SQL statements for various database operations and supporting multiple file formats.
Large-scale Database Testing: Ideal for generating millions of rows for performance testing.
QA/Testing Teams: Provides reliable tools for validating database integrity and performance.
Developers: Quickly generates test data during development cycles.
If you are looking for a comprehensive tool to generate test data, DTM Data Generator provides robust features tailored for database-intensive testing scenarios. Test Data Generator Overview – DTM Database Tools