TechValidate Research on Vertica

These pages present data that TechValidate has sourced via direct research with verified customers and users of Vertica. TechValidate stands behind the authenticity of all published data. Learn more »



638 Customers Surveyed

5,165 Data Points Collected

360 Published TechFacts

22 Published Charts

55 Published Case Studies



Featured Research Collections for Vertica

Curated collections and slideshows of TechValidate research data on Vertica.



Selected Research Highlights


Vertica has reduced report delivery load for my team. We can spend more time on data quality improvement.

Chamaiporn Suthamwong, Information Analysis Systems Division Head, Gosoft Thailand

Vertica significantly compresses your data freeing up data storage space

By what percentage (%) are you able to compress your data by using Vertica?
For example, if you compressed 1PB of data to 500TB, the compression is 50%.

Greater than 50%
34%
40-50%
23%
25-40%
23%
10-25%
16%
1-10%
4%

Vertica significantly compresses your data freeing up data storage space

By what percentage (%) are you able to compress your data by using Vertica?
For example, if you compressed 1PB of data to 500TB, the compression is 50%.

Greater than 50%
35%
40-50%
23%
25-40%
24%
10-25%
15%
1-10%
4%

Case Study: Easy Data

Introduction

This case study of EasyData is based on a February 2014 survey of HP Software Vertica customers by TechValidate, a 3rd-party research service.

“Customers of my company EasyData are the Telecommunication operators and financial institutions. Their main demands are: to get all the data “just in time,” not to have limits on the amount of data and storage time, to pay for their data support at a reasonable price, and to be confident in the reliability and performance of storage systems. Vertica provides all of this."

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:
    • Fraud monitoring/prevention
    • Financial tracking
    • Behavior analytics
    • Network performance analysis
    • Customer analytics
    • Machine/sensor data analysis
  • Currently managing 20 – 40 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Business Objects Crystal Reports
    • Oracle GoldenGate
    • Tableau
    • Talend Open Studio
    • GETL
  • Purchased HPE Vertica over the following vendors:
    • Microsoft
    • SybaseIQ

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
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
    • High availability without hardware redundancy
    • Optimizer and execution engine
    • Workload management
    • Flexibility
    • Low total cost of ownership (TCO)
    • High availability for analytics systems
  • Increased query performance by 100 – 500% through improvement in response time with HPE Vertica.
  • Can compress their data by 40-50% with HPE Vertica.
  • Saved $100,000 – $500,000 in overall cost savings from using HPE Vertica.

An Engineer of a medium enterprise computer software company is very likely to recommend HPE Vertica for the following reason:

For an excellent set of features and good technical support.

Case Study: Medium Enterprise Telecommunications Services Company

Introduction

This case study of a medium enterprise telecommunications services company is based on a January 2014 survey of HP Software Vertica customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“Vertica is a powerful, easy and stable solution.”

Challenges

  • Addressed the following pain points with the HPE Vertica Analytics Platform:
    • The inability to analyze large volumes of data
    • Summarized or aggregated data, losing detail and insights
    • Performance limits with current system

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Promotional testing
    • Financial tracking
    • Network performance analysis
    • Customer analytics
    • Machine/sensor data analysis
  • Currently managing 20 – 40 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Business Objects Crystal Reports
    • Informatica – Data Replicator
    • MicroStrategy
    • Oracle GoldenGate
    • Tableau
    • Talend Open Studio
  • Purchased HPE Vertica over the following vendors:
    • EMC Greenplum
    • IBM Neteeza
    • SybaseIQ

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • High availability without hardware redundancy
    • Flexibility
    • Low total cost of ownership (TCO)
    • High availability for analytics systems
  • Increased query performance by 50 – 100% through improvement in response time with HPE Vertica.
  • Can compress their data by 10-25% with HPE Vertica.
  • Saved $1,000,000 – $5,000,000 in overall cost savings from using HPE Vertica.


More to Explore



About Vertica

With the MicroFocus Vertica Analytics platform, MicroFocus innovates in software, services and big data infrastructure to make data tangible for businesses, right now.

Vertica Website