TechValidate Research on Citrix NetScaler

Citrix NetScaler Case Study

Texas Tech University Health Sciences Center El Paso


This case study of Texas Tech University Health Sciences Center El Paso is based on a September 2016 survey of Citrix NetScaler customers by TechValidate, a 3rd-party research service.

“All needs are met.”

“Citrix NetScaler leads the market in innovation and vision with capabilities that give us a competitive advantage.”


The business challenges that led the profiled organization to evaluate and ultimately select Citrix NetScaler:

  • Primary reason for considering a replacement option:
    • Had technical challenges with their existing solution
  • Reasons for selecting NetScaler:
    • For its integration with other Citrix products
    • For better management and application analytics across multiple instances
  • Considered the following for their application delivery infrastructure needs:
    • Flexible and versatile deployment options (physical, virtual, multi-tenant or containers)
    • API interoperability and programmability
    • SD-WAN integration and support

Use Case

The key features and functionalities of Citrix NetScaler that the surveyed organization uses:

  • Uses NetScaler in the following ways:
    • Secure remote access to XenApp, XenDesktop or XenMobile
    • General server load balancing
    • Optimize the performance of our web applications
    • Increase availability of our core applications with geographic server load balancing and failover
    • Secure our web infrastructure against external threats and attacks
  • Chose NetScaler over the following competitor:
    • F5


The surveyed organization achieved the following results with Citrix NetScaler:

  • Competitive solutions considered before choosing NetScaler:
    • Cisco
    • F5
  • Payback period for investing in NetScaler is more than 24 months.

About This Data

This data was sourced directly from verified users of Citrix NetScaler 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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