GlossaryStorage Systems, Protocols, and ScaleUnstructured data storage

Unstructured data storage

Unstructured data storage is any system holding files rather than database records: network-attached storage, object storage, parallel file systems, and archive tiers including tape. Each records a different set of attributes about what it holds, which is why a description spanning all of them has to be built above them.

Key takeaways

  • Unstructured data lives mostly in file and object storage, plus parallel file systems and archives.
  • Most large organizations run several architectures at once.
  • One index across all of them gives a single view of the estate.

Three architectures carry most unstructured data:

  • Scale-out network-attached storage serves files to many users over NFS and SMB.
  • Object storage holds very large numbers of objects behind an HTTP interface, on premises or in the cloud.
  • Parallel file systems serve high-performance work, such as simulation and AI training, at high aggregate speed.

Most large organizations run several of them, plus archive tiers, which is why one index across all of them matters.

Each one organizes data in a different way:

  • Block storage splits data into fixed-size blocks that an operating system or database manages directly, which suits databases and virtual machines.
  • File storage organizes data as files in folders, reached over NFS or SMB, which suits shared work.
  • Object storage keeps data as objects with a key and metadata in a flat namespace, reached over an HTTP interface such as S3, which suits very large volumes.

Unstructured data mostly lives in file and object storage.

  • Few or no IT staff on site to organize or clean up data.
  • Limited network bandwidth, so sending everything to a central site is slow or costly.
  • Copies everywhere, as data is copied to drives, servers, and the cloud on its way to the center.
  • No central view, so nobody can say what each site holds until it is shipped back.

Match each kind of data to how it is used:

  • Active, shared work such as editing and research suits fast file storage.
  • Large-scale processing such as simulation and AI training often needs a parallel file system.
  • Large data that is read rarely, such as archives and backups, suits object storage or the cloud.
  • Records under strict rules may need immutable storage.

Most organizations use several of these, often split between on premises and the cloud, which is called hybrid cloud storage. That is why an inventory across all of them matters.

Diskover indexes file systems, object stores, and parallel file systems from every vendor into one catalog, on premises and in the cloud.

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Last updated: November 13, 2026.

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