Glossary Term

Unstructured data

What is unstructured data?

Information like documents, images, videos, and scientific files that doesn't conform to a predefined schema or fixed organizational format.

Most of the data organizations actually produce is unstructured: emails, media files, web logs, social media posts, scientific files in formats like FASTQ and DICOM. None of it fits into the rows-and-columns world of relational databases the way structured data does. There is no fixed schema, which makes searching, analyzing, and governing it with conventional tools genuinely hard.

By most estimates, unstructured data accounts for 80–90% of everything an enterprise stores, and the pile keeps growing—research outputs, IoT sensor streams, multimedia, collaborative documents. A large share of it turns into ROT (redundant, obsolete, and trivial) over time, sitting on expensive storage without anyone using it. Here’s where the problem gets big: most organizations simply do not have a clear, real-time picture of what they own, where it resides, or who is responsible for it. This lack of visibility becomes an existential issue when you’re managing petabytes or exabytes.

Starfish Storage tackles this with a metadata-driven approach: cataloging billions of files across mixed storage environments without interrupting day-to-day operations. The result is a comprehensive Unstructured Data Catalog that gives organizations the visibility they need to control costs, enforce policies, stay compliant, and get their data ready for workloads like AI and machine learning.