Unstructured Data Management

What is Unstructured Data Management?

Unstructured Data Management is a category of software that has emerged to address the explosive growth of unstructured data in the enterprise and the modern reality of hybrid cloud storage. Storage and backup technology vendors are now increasingly recognizing the importance of unstructured data management as data outlives infrastructure and increasingly data mobility is needed as more data migrates to cloud data storage.

Unstructured data management must be independent and agnostic from data storage, backup, and cloud infrastructure technology platforms. There are 5 requirements:

1) Goes Beyond Storage Efficiency

2) Must be Multi-Directional

3) Doesn’t Disrupt Users and Workflows

4) Should Create New Uses for Your Data

5) Puts Your Data First

In August 2021, Komprise published the State of Unstructured Data Management Report:


Highlights of the Report:

Unstructured Data is Growing, as are its Costs

  • 65.5% of organizations spend more than 30% of their IT budgets on data storage and data management.
  • Most (62.5%) will spend more on storage in 2021 versus 2020.

Getting More Data to the Cloud is a Key Priority

  • 50% of enterprises have data stored in a mix of on-premises and cloud-based storage.
  • Top priorities for cloud data management include: migrating data to the cloud (56%) cutting storage and data costs (46%) and governance and security of data in the cloud (41%).

IT Leaders want Visibility First Before Investing in More Storage

  • Investing in analytics tools was the highest priority (45%) over buying more cloud or on-premises storage or modernizing backups.
  • One-third of enterprises acknowledge that over 50% of data is cold while 20% don’t know, suggesting a need to right-place data through its lifecycle.

Unstructured Data Management Goals & Challenges: Visibility, Cost Management and Data Lakes

  • 44.9% wish to avoid rising costs.
  • 44.5% want better visibility for planning.
  • 42% are interested in tagging data for future use and enabling data lakes.


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