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What is Doble Test Data Management?
Establishing standardized testing and data management protocols within an organization can be a complex and time-consuming process. To guarantee the integrity of data and to aid in the successful rollout of comprehensive projects, many businesses perform data quality assurance evaluations before embarking on initiatives such as field force automation or enterprise asset management. Doble provides an array of data-focused solutions aimed at reducing manual efforts and eliminating redundant workflows, thereby allowing for a more efficient collection, storage, and organization of asset testing data. Furthermore, Doble is prepared to deliver extensive supervisory services for managing data governance projects, fostering effective methodologies for data management. For additional support, consider contacting your Doble Representative to explore self-help tools and further educational opportunities. In addition, the Doble Database significantly strengthens data governance practices by methodically capturing data and securely backing up files within a meticulously organized network folder system. This organized framework not only protects valuable data but also ensures ease of access and efficient management. Ultimately, leveraging these solutions can empower organizations to achieve greater operational efficiency and data reliability.
What is DTM Data Generator?
The test data generation engine is designed for speed and efficiency, boasting around 70 integrated functions along with an expression processor that empowers users to produce complex test data reflecting dependencies, internal structures, and relationships. Notably, this advanced tool autonomously inspects existing database schemas to pinpoint master-detail key relationships, all without needing any action from the user. In addition, the Value Library provides a rich array of predefined datasets covering various categories, such as names, countries, cities, streets, currencies, companies, industries, and departments. Features like Variables and Named Generators make it easy to share data generation attributes among similar columns, enhancing productivity. Moreover, the intelligent schema analyzer contributes to creating more realistic data without requiring additional changes to the project, while the "data by example" function simplifies the task of enhancing data authenticity with very little effort. Ultimately, this tool is distinguished by its intuitive interface, making the process of generating high-quality test data not only efficient but also accessible for users of varying expertise. Its combination of automation and rich features sets a new standard in test data generation.
Integrations Supported
Integrations Supported
Firebird
IBM Db2
IBM Informix
InterBase
MySQL
PostgreSQL
SQL Server
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Windows
Supported Platforms
Windows
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Not specified
Company Facts
Organization Name
Doble Engineering Company
Date Founded
1920
Company Location
United States
Company Website
www.doble.com/product/test-data-management/
Company Facts
Organization Name
DTM Data Generator
Company Website
sqledit.com/dg/
Categories and Features
Test Data Management
Not specified
Categories and Features
Test Data Management
Not specified