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UNSTRUCTURED DATA MANAGEMENT

One catalog to see, move, and act on every file you own.


What unstructured data management covers.

Unstructured data management is the practice of finding, organizing, moving, and governing file and object data across every system that stores it. That covers documents, images, video, research output, design files, and logs on network-attached storage, object storage, cloud, and archive tiers.

Gartner puts unstructured data at 70% to 90% of organizational data (Gartner, 2026). It is spread across systems that each report on their own slice, so teams pay to store files they cannot find, classify, or safely remove. A complete solution gives you one view of all of it, and the means to act on what you see.

Diagram: file systems, object storage, cloud, and archive feed one Diskover catalog, which drives four jobs: know, reclaim, govern, and deliver.

Four jobs, one catalog.

Index in place. Enrich. Act.

INDEX IN PLACE

Diskover scans the file systems and object stores you already run, such as NFS and SMB shares and object storage. The data stays in place while the catalog is built.

ENRICH

Add business and technical context with tags, plugins, and enriched metadata, so search results and reports follow your projects, owners, and file types.

ACT

Run policies that tier, archive, move, or delete files, and route curated sets to the tools that need them. Data moves only when a workflow calls for it.

Five questions to ask any unstructured data management solution.

Scattered data points flowing into a single stream that becomes organized data paths across a world map.
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