TechValidate Research on Vertica

Case Study: Abiba Systems


This case study of Abiba Systems is based on a February 2016 survey of Vertica customers by TechValidate, a 3rd-party research service.

“We use Vertica for Analytics and DWH.”

“Yes, we would recommend Vertica in reason of good performance and compression technique.”

“Great support and cutting edge technology.”

“My clients are impressed by its query performance and the compression technique. It helped them to do the near to real time analysis of their data.”


  • Is using Vertica for the following:
    • Machine / sensor data analysis (Internet of Things)
    • Fraud monitoring / prevention
    • Behavior analytics
    • Customer analytics
    • Predictive analytics
    • Enterprise Data Warehouse optimization
  • Replaced the following vendors with Vertica:
    • Apache Spark
    • IBM
    • Infobright
    • MySQL
    • Oracle
    • Vertica is our primary solution

Use Case

  • Currently manages 21 – 40 TB of data with Vertica.
  • Uses the following Business Intelligence (BI), Visualization and/or ETL tools in their environment with Vertica:
    • ETL: Hadoop
    • ETL: Talend
    • BI: Pentaho B
    • BI: Tableau
  • Uses the following Advanced Analytics and/or Replication tools in their environment with Vertica:
    • Advanced Analytics: Microsoft Analysis Services
    • Advanced Analytics: Pentaho Mondrian


  • The following are the most valuable Vertica capabilities:
    • Standard SQL interface
    • Simultaneous loading and querying
    • Concurrency for hundreds or thousands of users
    • Superior compression
    • Database designer and administration tools
    • In-database analytics capabilities
    • Ease of interaction with existing BI tools & ETL tools
    • Advanced analytics: predictive, geospatial, sentiment, etc
  • Reduced TCO by 26-50% with Vertica.
  • Improved query performance by 51 – 100% with 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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