StorONE gains HPE validation for unified storage stack

StorONE has secured validation of its storage software on HPE's ProLiant Gen11 servers, formalising a technology partnership that targets enterprises consolidating block, file and object storage on standardised hardware.

The StorONE platform now sits within the HPE Partner Ready for Technology Partner Programme. The move confirms that the software runs on HPE ProLiant Gen11 systems under a supported configuration.

StorONE positions its platform as a single environment for multiple storage protocols. The company said the combination with HPE hardware aims at organisations that want flash-based performance while keeping spending closer to hard disk levels.

Unified stack

The StorONE software presents block, file and object storage from one architecture. The platform includes AI-based "Smart Auto-Tiering" that moves data between storage tiers. It also includes integrated data protection functions.

StorONE said that when enterprises run the software on ProLiant Gen11 servers, they gain a foundation for workloads that demand consistent performance and data resilience. The company said this combined stack addresses current demands and future capacity growth.

The platform also integrates with HPE GreenLake. Customers can view and manage environments across on-premises and hybrid cloud deployments through the GreenLake environment.

Key features

The joint offering focuses on a set of technical and operational features. StorONE highlights data protection that writes directly to disk. The platform includes per-volume erasure coding and support for more than 100,000 immutable snapshots per volume.

The company also emphasises infrastructure flexibility. The software states support for any CPU, drive type and network card within the ProLiant framework. StorONE said this can extend hardware lifecycles and improve returns on hardware investment.

The platform consolidates block, file and object workloads in a single environment. StorONE said this reduces the need for separate storage silos and can cut administrative work.

The firm claims that AI-based Smart Auto-Tiering can reduce storage spending by up to sixty per cent. It also claims utilisation levels of up to ninety five per cent.

Customer demand

The vendor links the partnership with wider pressure on IT budgets and storage strategies as flash prices fluctuate and data volumes expand.

"HPE validation reflects what customers are demanding from modern storage," said Gal Naor, CEO of StorONE. "Flash prices are climbing, budgets are not, and enterprises need performance without being forced into all flash architectures. StorONE on HPE gives organizations a single, efficient platform that delivers flash performance with HDD economics, provides full hardware flexibility, and scales across every workload. This is the storage model the market has been waiting for."

Naor's comments underline StorONE's attempt to position its software as an alternative to all-flash arrays in environments that face cost constraints.

Architecture focus

StorONE has built its S1 storage platform as software-defined technology that runs on commodity servers and disk media. The company said it has redesigned the storage stack. It said this addresses current demands for performance, security and protection.

The software separates hardware and software choices. StorONE said the platform supports all major storage protocols and runs across on-premises, hybrid and cloud environments. It also partners with major IT hardware vendors for deployment.

The HPE validation fits within that model. StorONE gains a route into HPE's installed base and channel. HPE customers gain an additional storage software option on ProLiant servers.

StorONE said enterprises can source the combined solution through their existing HPE resellers. Customers can also approach StorONE directly for architecture design, sizing and procurement guidance.

The company plans to work with partners and resellers around the StorONE and HPE stack as organisations reassess storage platforms for data-intensive workloads and hybrid cloud models.