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TechValidate Research on HPE Software Big Data Solutions

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



665 Customers Surveyed

5,169 Data Points Collected

403 Published TechFacts

37 Published Charts

84 Published Case Studies



Featured Research Collections for HPE Software Big Data Solutions

Curated collections and slideshows of TechValidate research data on HPE Software Big Data Solutions.



Selected Research Highlights


Case Study: Medium Enterprise Health Care Company

Introduction

This case study of a medium enterprise health care 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.

“We replaced DB2 with Vertica for reporting and achieved 800X improvement and more. Data Analysis improved more than 1000%. We were able to attract new customers leading to increased revenue.”

Challenges

  • 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 lack of concurrency limits access to data
    • The prohibitive cost of adding capacity due to licensing or hardware
    • Performance limits with current system

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Claims analyses
    • Patient records analyses
    • Clinical data analyses
    • Fraud monitoring/prevention
    • Behavior analytics
  • Currently managing 40 – 80 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Ab Initio
    • Cognos 8 BI
    • IBM Data Stage
    • SAS

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • Aggressive compression
    • Database designer and administration tools
    • In-database analytics capabilities – R, C++
    • 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
    • Greater financial insight
    • Improved insight into customer behaviors
    • Increased amount and complexity of data analyzed
    • A reduction in database infrastructure costs
    • A reduction in storage costs
    • Ease of adding additional database capacity
    • High availability for analytics systems
  • Increased query performance by > 1,000% through improvement in response time with HPE Vertica.
  • Is able to analyze > 1,000% more data at one time with HPE Vertica.
  • Saved $1,000,000 – $5,000,000 in overall cost savings from using HPE Vertica.

Case Study: Quality Health

Introduction

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

“With Vertica we have eliminated the need for aggregate tables giving us instant access to the details and allowing us to segment our data using any business dimension instead of having to build data silos for different departments.”

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
    • The prohibitive cost of adding capacity due to licensing or hardware
    • Performance limits with current system
    • The lack of business insight from data
    • 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
    • Clickstream analyses
    • Customer analytics
    • Campaign management
  • Currently managing 500 GB – 1 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Cognos 8 BI
    • Oracle GoldenGate
    • Pentaho Kettle
    • SPSS
    • Tableau

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Simplicity
    • Standard SQL interface
    • Simultaneous loading and querying
    • Database designer and administration tools
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
    • Low total cost of ownership (TCO)
  • Achieved the following with HPE Vertica software:
    • Faster analysis and reporting
    • Greater business insight
    • A more interactive, conversational view of our data
    • Increased amount and complexity of data analyzed
    • A reduction in database infrastructure costs
  • Increased query performance by 100 – 500% through improvement in response time with HPE Vertica.
  • Is able to analyze 500 – 1,000% more data at one time with HPE Vertica.

4/5 Stars

How our organization uses HPE Vertica:

We are using it for Analytics and DWH.

Would you recommend HPE Vertica?

Yes, it has good performance and compression technique.

4/5 Stars



73% of surveyed organizations who selected Oracle as the vendor for which HPE Vertica was replaced or chosen over rated HPE Vertica as 4 stars or higher.

HPE Vertica Customers manage a wide range of data size from PB to GB

What is the amount of data you are currently managing with HPE Vertica software?

1PB +
3%
500 TB – 1 PB
2%
200 – 500 TB
3%
80 – 200 TB
7%
40 – 80 TB
3%
20 – 40 TB
12%
10 – 20 TB
10%
5 – 10 TB
14%
1 – 5 TB
26%
500 GB – 1 TB
12%
0 – 500 GB
9%

Vertica is leveraged across a wide range of use cases

Which of the following applications are you implementing with HPE Vertica?

Promotional testing
15%
Claims analysis
6%
Patient records analysis
6%
Clinical data analysis
7%
Fraud monitoring/prevention
13%
Financial tracking
22%
Tick data back-testing
2%
Behavior analytics
37%
Clickstream analysis
29%
Network performance analysis
16%
Cyber security monitoring/prevention
6%
Customer analytics
57%
Compliance testing
1%
Loyalty analysis
19%
Predictive analytics
42%
Campaign management
24%
Machine/sensor data analysis
13%
Other
9%


More to Explore



About HPE Software Big Data Solutions

With the HPE Haven platform, Hewlett Packard Enterprise innovates in software, services and big data infrastructure to make data tangible for businesses, right now.

HPE Software Big Data Solutions Website   HPE Software Website