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Case Study: Phoenix Age

Introduction

This case study of Phoenix Age is based on a February 2013 survey of HP Vertica customers by TechValidate, a 3rd-party research service.

“Scalable, pretty fast for big data queries.”

Challenges

  • Addressed the following pain points with the HPE Vertica Analytics Platform:
    • Slow or incomplete queries
    • The inability to analyze large volumes of data
    • The lack of concurrency limits access to data
    • The need to stop queries while loading new data
    • Performance limits with current system

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Promotional testing
    • Customer analytics
    • Loyalty analysis
    • Campaign management
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Hadoop
    • Oracle
    • Tableau

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simultaneous loading and querying
    • Concurrency for hundreds or thousands of users
    • Flexibility
    • Low total cost of ownership (TCO)
    • High availability for analytics systems
  • Achieved the following with HPE Vertica software:
    • Faster analysis and reporting
    • Greater business insight
    • Improved insight into customer behaviors
    • Increased amount and complexity of data analyzed
    • High availability for analytics systems
  • Increased query performance by 100 – 500% through improvement in response time with HPE Vertica.
  • Is able to analyze 500 – 1,000% more data at one time with HPE Vertica.




About This Data

This data was sourced directly from verified users of Micro Focus 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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