TechValidate Research on Micro Focus Vertica

Case Study: Conclusive Analytics


This case study of Conclusive Analytics is based on a March 2013 survey of HP Vertica customers by TechValidate, a 3rd-party research service.

“We have consistently improved our ad hoc, “what-if” (anything to anything) queries from 30 minutes in MSSQL to 10-45 seconds in Vertica on a TB of data."


  • Addressed the following pain points with the HPE Vertica Analytics Platform:
    • Slow or incomplete queries
    • The inability to analyze large volumes of 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:
    • Promotional testing
    • Financial tracking
    • Behavior analytics
    • Customer analytics
    • Loyalty analysis
    • Predictive analytics
  • Currently managing 1 – 5 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Microsoft SQL Server Reporting Services
    • MicroStrategy
    • SAS
    • SPSS
    • Tableau
    • Talend Open Studio


  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • Standard SQL interface
    • Aggressive compression
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
  • Achieved the following with HPE Vertica software:
    • Faster analysis and reporting
    • Improved insight into customer behaviors
  • Increased query performance by 500 – 1,000% 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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