TechValidate Research on Scale Computing HC3

HC3 Case Study

Signature Federal Credit Union


This case study of Signature Federal Credit Union is based on a January 2017 survey of HC3 customers by TechValidate, a 3rd-party research service.

“With HC3, it is easy to manage all servers on one screen, we no longer need vCenter to manage all of the VM’s.”


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

  • Realized the following operational challenges by 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)
    • We lost our Entire Virtual Blade Server Unit

Use Case

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

  • Purchased HC3 over the following vendor:
    • Nutanix
  • Has 1 IT personnel responsible for infrastructure.
  • Runs 10-24 Virtual Machines on HC3.


The surveyed company achieved the following results with HC3:

  • Rated the following HC3 capabilities in terms of how differentiated they from the competition:
    • Single vendor support: very differentiated
    • Scalability: extremely differentiated
    • Reliability: extremely differentiated
    • Ease of implementation: extremely 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
  • Reduced the time their IT staff spends managing infrastructure by 50-74% after deploying HC3.

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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