TechValidate Research on Vertica

Case Study: S&P 500 Computer Software Company


This case study of a S&P 500 computer software company is based on a February 2016 survey of HPE Vertica customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“We use Vertica to provide access to Healthcare data through a variety of tools and technologies. We rely on Vertica’s speed and scale to enable us to load hundreds of TBs of data while providing continuous high-speed access to the data.”

“We have had a lot of success with HPE products and have received very good support from the account team.”

“I would recommend Vertica for its speed and scale.”

“Vertica has enabled us to answer questions that were not possible to answer with some of our legacy RDBMS platforms. Vertica also increases the efficiency with which our end users can browse data and gain valuable insights.”


  • Uses HPE Vertica for the following:
    • Claims analytics
    • Patient records analytics
    • Clinical data analytics
    • Predictive analytics
  • Replaced the following vendors with HPE Vertica:
    • SAP
    • Teradata

Use Case

  • Currently manages 201 – 500 TB of data with HPE Vertica.
  • Uses the following Business Intelligence (BI), Visualization and/or ETL tools in their environment with HPE Vertica:
    • ETL: Hadoop
    • BI: Business Objects (Inc Crystal Reports)
    • BI: Tableau


  • The following are the most valuable HPE Vertica capabilities:
    • Massive scalability on industry-standard hardware
    • Standard SQL interface
    • Simultaneous loading and querying
    • Concurrency for hundreds or thousands of users
    • Superior compression
    • Ease of interaction with existing BI tools & ETL tools
  • Reduced TCO by 51-100% with HPE Vertica.
  • Improved query performance by 501 – 1,000% with HPE Vertica.

About This Data

This data was sourced directly from verified users of Vertica 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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