TechValidate Research on Scale Computing HC3


HC3 Case Study

Large Enterprise Retail Company

Introduction

This case study of a large enterprise retail company is based on a July 2020 survey of HC3 customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

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 disaster recovery
    • Solved single vendor support of Infrastructure
    • Reduced IT operating costs
  • Purchased their HC3 system for the following reasons:
    • To execute an infrastructure refresh (replacing aging hardware)
    • For Hypervisor Licensing Renewal
    • To reduce operational costs
  • Purchased HC3 over the following vendors:
    • Hypervisor – VMware
    • Dell Servers / SAN
    • Nutanix
    • VxRail

Use Case

The key features and functionalities of HC3 that the surveyed company uses:

  • Has 6-10 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: extremely differentiated
    • Scalability: very 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
    • 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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