In a world where your data will outlive your storage, why limit yourself to a storage-centric approach to data management?

Komprise unlocks unstructured data for AI while optimizing data placement to cut data storage costs. Komprise gives you an independent, storage-agnostic unstructured data management solution: enterprise IT gets global data intelligence, policy-driven data orchestration, fast data mobilization, and governance across all your file and object storage, with full native access to compute at every tier and no vendor lock-in, while data teams get AI-ready data that is easy to query.

Your Data Will Outlive Your Data Storage Infrastructure

There was a time when data was mostly structured or semi-structured. Most of your enterprise data resided on disk and when you were done with it, you could push it off to tape. Data movement was primarily unidirectional, and all data processing was happening on the disk. A storage-centric approach to data management made sense in this era.

Today, organizations are dealing with massive unstructured data volumes (billions of files and objects). Data is piling up in silos across on-premises, cloud, and edge environments. It is difficult to search, slow to move, and there are many tiers of data—both offline and online. It is critical that you can leverage all of these meta-tiers and put data in the right place at the right time—not only for storage efficiency and data storage cost savings, but in order to extract more value from your data. With Komprise analytics-driven unstructured data management you get the benefits of a federated global namespace without sitting in front of the hot data path. See across silos and make better decisions with a unified data services platform delivered on demand.

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Data Storage Today:
  • More unstructured data (unsustainable growth)
  • More storage management choices
  • Tiered data is live and can be used in apps, BI, analytics, AI
  • Need “right-placing” of data continuously across storage silos

Why Not Storage-Centric Data Tiering and Data Management?

In a world where your data will outlive your data storage, why would you want a storage-centric approach to unstructured data management?

5 Requirements for Storage and Data Agnostic Data Management:
  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

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Frequently Asked Questions

Why does AI-ready data management need to be independent from storage?
Storage-native tools only see their own platform, creating blind spots across the dozens of NAS, object, and cloud systems most enterprises actually run. Their proprietary tiering formats also create vendor lock-in that blocks native access to data later, including for AI. An independent, storage-agnostic layer like Komprise Intelligent Data Management delivers global data intelligence across every silo at once, so the same platform that identifies AI-ready data also identifies cold, costly data to tier, without waiting on or being limited by any single storage vendor’s roadmap.
How does Komprise turn data on any storage platform into AI-ready data?
Enterprises use Komprise to discover, classify, curate, tier and migrate file and object data across any storage, cloud or AI environment. The Global Metadatabase indexes and enriches metadata across every platform in that environment, giving IT and data teams one searchable view instead of dozens of disconnected silos. Komprise Transparent Move Technology then moves and tiers that data while preserving it in native format, so there’s no rehydration required before it can be used. AI Data Ingestion uses this metadata and native access to deliver only the right, governed data to AI pipelines, wherever that data physically lives.
How does the full Komprise platform combine AI readiness with storage cost optimization?
Know first, move smart, take control: Deep Analytics shows what data exists and what it costs to store, Smart Data Workflows automate the reduction of ROT data and the tiering of cold data using Transparent Move Technology, and the Global Metadatabase keeps that same data discoverable and ready for AI Data Ingestion throughout. This is the policy-driven data orchestration and fast data mobilization that turns storage management into AI-ready data management: organizations cut storage, backup, and DR costs 70%+ while making the same data more valuable for AI, not less.