BigID vs Veritas Data Insight comparison

BigID and Veritas Data Insight compete in data management and protection. BigID has an edge with its advanced data discovery capabilities, whereas Veritas Data Insight aligns better with enterprise requirements due to its robust data governance features.

Features: BigID excels in data discovery and classification, utilizing machine learning for identifying sensitive information. It provides a holistic view of organizational data, offering visibility across structured, unstructured, and cloud data. It also features advanced scanning capabilities adaptable to various needs. Veritas Data Insight is notable for its data governance and risk assessment, delivering detailed analytics and reports. It offers efficient classification of unstructured data and has a user risk-scoring feature to enhance data security management.

Room for Improvement: BigID could enhance its capabilities for scanning external devices, such as flash drives, and improve false positive management in data scans. In addition, strengthening data integration with other platforms can enhance its utility. Veritas Data Insight might benefit from improved scalability for larger datasets and additional flexibility in custom report generation. Its dashboard could be optimized for user experience, providing more customization options.

Ease of Deployment and Customer Service: BigID is known for its scalable deployment and effective customer support, making it user-friendly and efficient to implement. Veritas Data Insight offers robust architecture, ideal for large organizations, with extensive support options, which suits large-scale implementations.

Pricing and ROI: BigID offers a competitive initial cost with strong ROI from its data discovery features. It appears cost-effective in the short term. Veritas Data Insight entails a higher upfront investment, promising substantial long-term value with its comprehensive data management enhancements, making its ROI justifiable.