Komprise and HPE Data Management Use Cases

File Data Migration Data Analytics Cloud Data Tiering and Archiving, Cloud Replication Native Data Access
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HPE Alletra (VAST) check-purple check-purple check-purple

Transform HPE Data Management

HPE and Komprise are working together to offer solutions that are transforming enterprise data storage with powerful unstructured data management. Komprise finds and analyzes data across all storage, providing visibility into hot versus cold data and data growth patterns. Komprise TMT allows you to transparently move infrequently accessed data to cost-efficient HPE Scalable Storage—with no disruption to users or apps that may need them.

Komprise is available via HPE Complete to accelerate file data migrations to HPE GreenLake for File Storage and  Qumulo, and to cut 70%+ NAS and backup costs with zero lock-in cloud data tiering and archiving.

Komprise Intelligent Data Management software for HPE is different from other solutions: it uses no storage agents, no static stubs, stays outside the hot data path, creates no lock-in, and has no scaling limits.

Modernize your storage infrastructure using Komprise and Hewlett Packard Enterprise’s StoreEasy, Apollo 4200 Storage Servers with Qumulo, HPE GreenLake for File Storage and Scalable Object Storage with Scality RING.

Frequently Asked Questions

How does Komprise make HPE storage data AI-ready?
Enterprises running HPE storage, including HPE GreenLake for File Storage, HPE Alletra, and HPE StoreEasy, need to prepare massive volumes of unstructured data for AI without disrupting active workloads. The Komprise Global Metadatabase indexes and enriches metadata across HPE storage environments so IT and data teams can discover and curate the right datasets for AI. KAPPA data services extract embedded metadata from PDFs, images, and other files to make that data richer and easier to search, while AI Data Ingestion delivers curated, governed data directly into AI pipelines. This AI readiness comes alongside real cost savings: customers cut HPE storage and backup costs 70%+ using automated tiering with no rehydration penalty.

Learn more about Komprise Intelligent Data Management

How does Komprise optimize hybrid storage costs across HPE GreenLake, StoreEasy, and Alletra?
Komprise gives IT teams visibility into hot versus cold data across every HPE storage platform, including HPE GreenLake for File Storage, HPE StoreEasy, and HPE Alletra, all from a single pane of glass. Using Komprise Transparent Move Technology, inactive data is automatically tiered to lower-cost storage or the cloud with intelligent tiering policies, cutting HPE NAS and backup costs 70%+ with zero disruption to users or applications and no vendor lock-in. Because Komprise preserves data in native format, that same tiered data stays AI-ready and easy to curate for AI Data Ingestion whenever it’s needed.

Learn more in the HPE Reference Configuration Guide

Why do HPE customers need unstructured data management for AI initiatives?
HPE customers in data-intensive industries like life sciences and genomics and engineering and semiconductor generate massive volumes of unstructured data across hybrid HPE environments, and that data has to be both AI-ready and affordable to store. Unstructured data management gives these teams a Global Metadatabase to discover and classify data across storage silos, delivers only the right data to AI pipelines, and automatically tiers cold, inactive data off expensive primary HPE storage to cut costs 70%+. Without this layer, teams either overpay to keep everything on primary storage or risk feeding AI models unreliable, ungoverned data.

Learn more about unstructured data management