Uniform data collection, low cost data storage and reporting across the enterprise.
Enterprise Archiving, Data Lake, Application Retirement, Test Data Management and Data Masking.
Become a data-driven enterprise with an enterprise data lake and advanced analytics.
Featuring the 2016 Gartner Magic Quadrant
Dawn of Big Data Applications
Archive inactive enterprise data to improve application performance, reduce infrastructure costs, and achieve compliance goals.
Reduce the complexity and processing burden to stage enterprise data warehouse and analytics applications, and provide highly efficient, bulk storage for enterprise data.
Manage data growth by archiving less frequently accessed data to improve application performance and reduce infrastructure costs.
Reduce operations and infrastructure costs by retiring legacy applications and still provide access to legacy data for compliance and legal requirements.
Automate the creation of "right-sized" database subsets and clones for test and development environments to reduce storage requirements and speed test cycles.
Discover and mask sensitive data to ensure data security, compliance, and mitigate the risk of a data breach.