Broadcom Test Data Manager and DATPROF are products in the test data management category. DATPROF is often viewed as the leading choice due to its advanced feature set and efficiency, though Broadcom Test Data Manager offers strong support and cost advantages.
Features: Broadcom Test Data Manager provides comprehensive data generation, centralized data management, and enhanced masking capabilities. DATPROF stands out with easy integration, efficient data subsetting, and high automation, focusing on streamlining data processes and automation.
Room for Improvement: Broadcom Test Data Manager could enhance ease of use for complex environments and improve integration capabilities with newer databases. Additional feature enhancements for non-relational data support would be beneficial. Expanding the self-service capabilities to reduce reliance on support could also enhance its offering. DATPROF could benefit from providing more detailed documentation and expanding its customer support structure. Simplifying complex feature configurations for quicker adoption would be advantageous and ensuring seamless data model updates over various platforms could further boost its utility.
Ease of Deployment and Customer Service: Broadcom Test Data Manager offers a scalable deployment model and dedicated support channels, suitable for complex environments requiring robust assistance. DATPROF offers a straightforward deployment process, focusing on lightweight installation and accessible customer service, appealing to those needing ease and speed.
Pricing and ROI: Broadcom Test Data Manager is recognized for its competitive pricing, delivering significant ROI through comprehensive functionalities at a reasonable cost. DATPROF, meanwhile, entails a higher initial investment, which is often justified by its efficient performance and ability to deliver a faster return on investment through time and resource savings.
Product | Market Share (%) |
---|---|
Broadcom Test Data Manager | 16.2% |
DATPROF | 6.4% |
Other | 77.4% |
Company Size | Count |
---|---|
Small Business | 3 |
Midsize Enterprise | 2 |
Large Enterprise | 30 |
Company Size | Count |
---|---|
Small Business | 2 |
Large Enterprise | 8 |
Broadcom Test Data Manager enables effective test data processes with tools for synthetic data generation, data masking, and data subsetting. It enhances automation and ensures data privacy and compliance, catering to diverse testing environments.
Broadcom Test Data Manager provides centralized data management with flexible functionalities like cubing and test matching, simplifying the creation and handling of test data. It supports both relational and non-relational data, optimizing test processes for effective results. Users find its intuitive UI and self-service portal time-saving. However, enhancements in programmatic capabilities, non-relational data handling, automation, and integration speed are needed. A unified web-based interface, better API usability, and expanded data source support could improve user experience. Mainframe functionality, data reservation, and web-based UI transitions also require focus for stability and scalability improvements.
What are its key features?Broadcom Test Data Manager is widely used in industries like healthcare and finance for data masking and test management. It aids in creating synthetic data, managing subsetting, and anonymizing information, particularly valuable in handling regulated data. Its alignment with DevOps and comprehensive data capabilities are key in supporting secure, efficient testing workflows.
DATPROF offers test data management solutions known for subsetting, easy maintenance, intelligent data modeling, and data protection features, suitable for businesses requiring efficient data handling and compliance across operations.
DATPROF is renowned for capabilities including collaboration without heavy supplier reliance, synthetic data generation, and data masking across applications. Its features allow flexible customization, integration with systems, and scalable masking. Users benefit from its intuitive design and efficient data management while seeking improvements in orchestration features, enhancing discovery-to-masking integration, and expanding APIs. Addressing requirements like template reusability, empty database functionality, and mainframe platform compatibility are focus areas. Suggestions for better synthetic data generation and mainframe alliances highlight future growth potential.
What are DATPROF's most valuable features?In industries requiring stringent data protection such as finance and healthcare, DATPROF is crucial for managing test databases, meeting CI/CD targets, and ensuring GDPR compliance. Teams leverage DATPROF for transitioning to cloud environments, masking sensitive data, and creating synthetic data, thereby supporting diverse IT environments.
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