TechValidate Research on Micro Focus Archive


Case Study: Medium Enterprise Telecommunications Services Company

Introduction

This case study of a medium enterprise telecommunications services company is based on a March 2013 survey of HP Vertica customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“The ability to continuously load data and query at the same time with Vertica has allowed our applications to provide improved availability and access to big data.”

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 prohibitive cost of adding capacity due to licensing or hardware
    • The need to stop queries while loading new data
    • Performance limits with current system
    • Existing data warehouse/data management infrastructure that could not handle Big Data

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Behavior analytics
    • Customer analytics
    • Predictive analytics
  • Currently managing 80 – 200 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Oracle
    • Oracle OBIEE

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • Standard SQL interface
    • Simultaneous loading and querying
    • Aggressive compression
    • In-database analytics capabilities – R, C++
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
    • High availability without hardware redundancy
    • Optimizer and execution engine
    • Workload management
    • Low total cost of ownership (TCO)
    • High availability for analytics systems
  • Achieved the following with HPE Vertica software:
    • Faster analysis and reporting
    • The ability to load and analyze data concurrently
    • Improved insight into customer behaviors
    • Increased amount and complexity of data analyzed
    • A reduction in database infrastructure costs
    • A reduction in storage costs
    • Increased concurrency for accessing analytics/BI (multiple users)
    • Ease of adding additional database capacity
    • High availability for analytics systems
  • Increased query performance by 100 – 500% through improvement in response time with HPE Vertica.
  • Is able to analyze 100 – 500% more data at one time with HPE Vertica.
  • Saved $500,000 – $1,000,000 in overall cost savings from using HPE Vertica.




About This Data

This data was sourced directly from verified users of Micro Focus Archive 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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