A data catalog is an organized map of everything an organization stores. It records what data exists, where it lives, who owns it, when it was created or last accessed, and what it contains, making it possible to find, understand, and govern data across an entire environment.
For structured data in databases, catalogs have existed for years. The harder problem is unstructured data: the billions of files (documents, images, research outputs, instrument data) scattered across NAS systems, parallel file systems, and object stores. Traditional database catalogs can’t handle this. Unstructured data lacks schemas, sits in heterogeneous storage environments, and grows at rates that overwhelm manual classification.
An Unstructured Data Catalog addresses this by scanning file systems at scale, extracting and enriching metadata from dozens of file types, and building a searchable index across vendors and platforms. This visibility is the foundation for everything else: storage optimization, lifecycle management, compliance auditing, and AI data preparation. Without a catalog, organizations are managing data blind. With one, they know what they have and can act on it.
Starfish Storage built one of the first purpose-built Unstructured Data Catalogs, scanning billions of files across vendors like NetApp, Dell, VAST, Weka, and GPFS to build a single searchable index. It’s the foundation for storage optimization, compliance, chargeback, and AI data readiness.
Related Links
- Unstructured Data Catalogs Transform File Management | Starfish Storage
- Starfish Product: Unstructured Data Catalog | Starfish Storage
- What is a Data Catalog? | IBM
- Data Catalog | Alation
- Data Catalog Explained | Databricks
