OpenText Data Privacy and Protection Foundation Voltage and BMC Compuware Topaz Enterprise Data compete in data management and privacy solutions. BMC Compuware Topaz is viewed as a superior product due to its enhanced features, despite OpenText appearing favored for pricing and support.
Features: OpenText Voltage features robust data encryption, comprehensive privacy compliance tools, and strong security measures. BMC Compuware Topaz offers powerful data analytics, integration with mainframe systems, and real-time performance monitoring, providing better insights into enterprise data operations.
Ease of Deployment and Customer Service: OpenText Voltage has a straightforward deployment model and efficient customer support, facilitating smooth onboarding. BMC Compuware Topaz may involve complex deployment due to legacy system integration but offers specialized customer service for mainframe-related challenges.
Pricing and ROI: OpenText Voltage tends to be more competitively priced, appealing to budget-conscious organizations, and offers favorable ROI through effective privacy protection. BMC Compuware Topaz has a higher initial cost but is justified by its comprehensive data analytics and performance management tools, resulting in significant ROI.
Topaz for Enterprise Data is part of the Topaz suite of mainframe development and testing tools. It enables developers and data architects to discover, visualize and work with both mainframe and non-mainframe data in a common, intuitive manner. Topaz for Enterprise Data enables developers to: Visually manage vast quantities of data objects using the Data Relationship Visualizer Visually understand and tune complex related data extracts to create optimal test data with the Extract Visualizer Edit multiple datatypes with a single Enterprise Data Editor Easily compare data Search for data values in one or more files Process related subsets of data with minimal database expertise Maintain relationally intact data based on referential integrity (RI) or application relationships (AR) Extract relevant data using easy-to-use selection criteria or key values Load data into new or existing objects and apply necessary data transformation rules Execute a list of specifications as a group Leverage Test Data Privacy to mask sensitive data to protect individuals’identities and business-confidential data
OpenText Data Privacy and Protection Foundation (Voltage) offers advanced tools to secure sensitive data, catering to organizations focused on data integrity and privacy.
This comprehensive platform provides data-centric security by integrating encryption and tokenization methodologies. Addressing data privacy and protection needs with sophisticated features, it helps maintain compliance with rigorous industry standards. By supporting a modular approach, Voltage can be tailored to specific industry use cases, ensuring seamless alignment with client requirements.
What are the standout features of OpenText Data Privacy and Protection Foundation (Voltage)?Industries such as financial services and healthcare implement OpenText Data Privacy and Protection Foundation (Voltage) to protect sensitive customer information. This is achieved by seamlessly integrating encryption and tokenization into their existing frameworks, enhancing data security, and ensuring compliance with sector standards. By focusing on critical data assets, organizations can effectively reduce risk and enhance incident response strategies.
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