

Find out in this report how the two Data Masking solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
| Product | Mindshare (%) |
|---|---|
| Broadcom Test Data Manager | 6.7% |
| DataMasque | 1.0% |
| Other | 92.3% |


| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 30 |
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.
DataMasque offers robust data masking, maintaining referential integrity while ensuring security and compliance. Its features support realistic dataset testing without exposing sensitive data, integrating seamlessly across databases.
DataMasque is designed to protect PII and PHI by masking sensitive information across interconnected databases and cloud platforms. This ensures applications, reporting, and integrations are not impacted by structural inconsistencies. Its adaptable rule set and auto-generation of masking rules aid in swift deployment, enhancing data security frameworks and accelerating release cycles. DataMasque also provides strong technical support and continues to enhance its capabilities with ongoing improvements. Users find value in its existing functionality while looking forward to further usability enhancements, including expanded capabilities for unstructured data and improved post-masking validation.
What Are DataMasque's Main Features?DataMasque is implemented across technology, healthcare, finance, and retail industries to safeguard sensitive data without disrupting operations. It assures that development, testing, and analytics use environments that mirror live systems closely, which is critical for sectors handling large volumes of personal data.
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