Scale Out Storage Cluster

on the fly scale out cluster from EUROstor

Scale-Out Storage Cluster offer storage capacity with extremely high flexibility and availability, because they can be expanded without downtime.
And with each additional cluster node not only capacity but also bandwidth to the clients and overall performance will grow.
As data are written redundantly to all the nodes, the cluster remains available even it one or more nodes fail (depending on the level of redundancy).

All products: Scale Out Storage Cluster

Windows Storage Spaces Direct Cluster

ES-2000WSS Windows Storage Spaces metro cluster
  • hyperconverged dual node mirror or multinode scale-out cluster
  • NAS storage cluster with Hyper-V
  • also as Metro Cluster

ES-9500 Quobyte

Quobyte scaleout NAS custer
  • scale-out Cluster for NFS, SMB/CIFS, OpenStack, S3
  • servers with up to 36 3.5" or 72 2.5" slots
  • scalable to tens of thousands of nodes

ES-5000 Cloudian

Cloudian Authorised Partner
  • Unlimited scalable object storage, easily expandable without interruption even through nodes of different sizes
  • no Single Point of Failure
  • performance and access bandwidth increases with the number of nodes

PetaSAN Ceph

multi function nodes (MON/OSD/iSCSI)
  • Ceph-based iSCSI cluster that flexibly expands storage capacity
  • Integrated end-to-end solution based on proven cloud technology
  • n-way active/active iSCSI

Ambedded Ceph

Ambeddes MARS-400 Ceph Cluster
  • Eight micro-servers on 1 U
  • Scale-Out on-the-fly
  • dedicated software management ports per server

Huawei OceanStor

Unified Storage: Huawei OceanStor 2600
  • Unified Storage Systems for SSD and/or Nearline Disks
  • for FC, FCoE, iSCSI, NFS, CIFS, HTTP and FTP
  • Dual Controller RAID, scalable to 8 controllers

Huawei Dorado

Huawei Dorade fullflash Cluster
  • ScaleOut FullFlash RAID System for FC and iSCSI
  • up to 8 dual controller systems in a cluster
  • SAS (Dorado 3000) or NVMe SSDs (Dorado 5000-18000)

WekaIO

GPU Storage cluster system rear view
  • scale out storage cluster for maximum GPU utilization
  • for AI and deep learning applications with very high data throughput
  • over 10 GB/s to a single GPU client