TechValidate Research on Micro Focus Archive

Case Study: Large Enterprise Telecommunications Services Company


This case study of a large enterprise telecommunications services company is based on a February 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.

“Only with Vertica we’re able to implement a new data collection system that can handle 50X more data than the legacy system.”


  • Addressed the following pain points with the HPE Vertica Analytics Platform:
    • Slow or incomplete queries
    • The inability to analyze large volumes of data
    • Summarized or aggregated data, losing detail and insights
    • 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
    • The lack of business insight from data

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Behavior analytics
    • Network performance analyses
    • Predictive analytics
    • Machine/sensor data analysis
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Eclipse BIRT
    • Hadoop
    • Pentaho Kettle
    • Pentaho Mondrian


  • 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
    • Concurrency for hundreds or thousands of users
    • Aggressive compression
    • Native support MapReduce and Hadoop
    • High availability without hardware redundancy
    • Optimizer and execution engine
    • Workload management
    • Flexibility
    • 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
    • Greater business insight
    • A more interactive, conversational view of our data
    • 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)
    • Reduced implementation time for a new analytics warehouse
    • 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.

More Research on Micro Focus Archive