Menu

Case Study: Symphony Advanced Media

Introduction

This case study of Symphony Advanced Media is based on a February 2016 survey of HPE Vertica customers by TechValidate, a 3rd-party research service.

“We have 3 node cluster for high availability and load balancing. We predominantly use this DB for Data analytics to judge users behavior. It’s a is single source data collection – understanding the behavior of consumers across multimedia with a representative panel of consumers, providing advertisers, media companies and market research firms, the opportunity for insights into this behavior.”

“I would personally recommend Vertica for the application which has a fixed set of report generation which rarely changes because the projections we design is query specific and having multiple projections for the same table can prove expensive in terms of storage and data loading.”

“We’ve done POC with Amazon Redshift and Oracle’s In-Memory DB but both proved to be expensive for our kind of requirement. Our DB is busy round the clock as expected because we record panelists usage via smart phones, the web, and TV. The majority of times the tables would be getting loaded while the reports are generated.”

Challenges

  • Using HPE Vertica for the following:
    • Machine/sensor data analysis (Internet of Things)
    • Behavior analytics
    • Customer analytics
    • Loyalty analytics
    • Predictive analytics
    • Campaign management
  • Replaced the following vendors with HPE Vertica:
    • HPE Vertica is our primary solution

Use Case

  • Currently manages 6TB or less of data with HPE Vertica.
  • Uses the following Business Intelligence (BI), Visualization and/or ETL tools in their environment with HPE Vertica:
    • ETL: Hadoop
    • ETL: Talend
    • BI: Tibco Spotfire/Jaspersoft
    • BI: Microstrategy
    • BI: Qlikview/QlikSense
  • Uses the following Advanced Analytics and/or Replication tools in their environment with HPE Vertica:
    • Replication: Home Grown (describe)
    • Advanced Analytics: Home grown (describe in other)

Results

  • The following are the most valuable HPE Vertica capabilities:
    • Massive scalability on industry-standard hardware
    • Simultaneous loading and querying
    • Concurrency for hundreds or thousands of users
    • Superior compression
    • In-database analytics capabilities
    • Ease of interaction with existing BI tools & ETL tools
    • High availability without hardware redundancy
    • Advanced analytics: predictive, geospatial, sentiment, etc
  • Reduced TCO by 1-25% with HPE Vertica.
  • Improved query performance by 51 – 100% with HPE Vertica.




About This Data

This data was sourced directly from verified users of HPE Software Big Data Solutions 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 HPE Software Big Data Solutions