The Dryv platform represents the next generation of enterprise data management (EDM) platforms, leveraging modern advances in artificial intelligence and machine learning to deliver a unified experience for identifying, organizing, analyzing, and safeguarding the risk contained within enterprise-wide content.
A single & unified platform
The openness and broad holistic capabilities of the Dryv platform eliminate the need for organizations to maintain multiple, siloed content repositories and business applications. Any set of classification and governance policies that reside within one system can be deployed across any number of platforms or systems—whether in the cloud or on-premises.
However, if some unique operation or function is required, other applications can also be readily integrated to the platform via its Software Development Kit (SDK).
Unmatched speed & scale
As a core development principal, the platform was built for the enterprise—architected from the ground-up to manage petabytes of content equating to billions of files at exceptional speed and scale.
For example, many vendors can leverage up to 16 parallel thread-writes—process or interrogate 16 files at once. The Dryv platform has regularly exceeded 3,000+ and within highly optimized environments can move and manage 60+ terabytes of content per day.
Significant breadth & depth
In addition to the wide breadth of system connector options and openness, the platform’s depth of integration enables significantly more functional capability than existing vendors. The platform can both read and write commands to any connected system.
DryvIQ has continually placed focus on enhancing unstructured data control and management capabilities to increase customer value.
Automation at enterprise scale
Most current enterprise data management and information governance solution approaches rely on end-users at some level to determine the sensitive nature of the content, then take the resulting necessary action(s) as defined by corporate policy.
The Dryv platform automates both assessment and action—dramatically reducing risk, safeguarding assets, and lowering costs—while eliminating manual efforts from the process.
unstructured data growth rate per year within enterprises