TechValidate Research on Scale Computing HC3


HC3 Case Study

Riverwood Healthcare Center

Introduction

This case study of Riverwood Healthcare Center is based on a January 2019 survey of HC3 customers by TechValidate, a 3rd-party research service.

“It has given us the ability to build servers, without have to wait for hardware, thus moving projects forward faster.”

Challenges

The business challenges that led the profiled company to evaluate and ultimately select HC3:

  • Solved the following operational challenges after deploying HC3:
    • Enabled virtualization without complexity
    • Reduced time spent managing Infrastructure
    • Improved availability of critical workloads
    • Improved scalability of Infrastructure
    • Improved disaster recovery
  • Purchased their HC3 system for the following reasons:
    • For Infrastructure Refresh (replacing aging hardware)
    • To support business growth expectations or new business initiatives

Use Case

  • Purchased HC3 over the following vendors:
    • Hypervisor – VMware
    • Hypervisor – Microsoft Hyper-V
    • EMC
    • Nutanix
    • Simplivity
  • Has 3 IT personnel responsible for infrastructure.
  • Runs 10-24 Virtual Machines on HC3.

Results

The surveyed company achieved the following results with HC3:

  • Rated the following HC3 capabilities in terms of how they differentiated from the competition:
    • Single vendor support: differentiated
    • Scalability: differentiated
    • Reliability: differentiated
    • Ease of implementation: very differentiated
    • Ease of use: very differentiated
  • Sees the following as the biggest benefits of Scale Computing HC3:
    • Ease of use
    • Ease and speed of implementation
    • High availability of Virtual Machines
    • Reliability
    • Scalability
    • Single vendor support




About This Data

This data was sourced directly from verified users of Scale Computing HC3 by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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