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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


We need to process enormous amount of data and Vertica looks like the best platform for our tasks.

Server Administrator, Global 500 Professional Services Company

HPE Vertica means insanely high query performance!

By what % have you increased query performance through improvement in response time with HPE Vertica? Please provide your best estimate.

Over 1,000%
10%
500 – 1,000%
24%
100 – 500%
30%
50 – 100%
17%
10 – 50%
14%
0 – 10%
5%

5/5 Stars

How our organization uses HPE Vertica:

We use HPE Vertica for our data warehouse presentation layer plus additional data source blending.

Would you recommend HPE Vertica?

Yes. It is fast and easy to use.

Case Study: Global 500 Telecommunications Services Company

Introduction

This case study of a Global 500 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.

“We have been a Vertica customer since 2008. At that time, it cost us less money to purchase Vertica and develop a new system vs a quoted cost from our software vendor. Good thing, as business requirements changed, we no longer have need for the system we developed, but still have Vertica. Further, due to the great query performance, business analysts saw new opportunities in our data. We developed an add on ot, an existing system and reaped new benefits. Vertica allowed us to be agile.”

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 prohibitive cost of adding capacity due to licensing or hardware
    • Performance limits with current system
    • The lack of business insight from data
    • The lack of connection between current BI/analytics initiatives and needs of business
    • Existing data warehouse/data management infrastructure that could not handle Big Data

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Financial tracking
    • Behavior analytics
    • Customer analytics
  • Currently managing 10 – 20 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
    • Talend Open Studio
    • Homegrown
    • SQL
  • Purchased HPE Vertica over the following vendors:
    • Oracle
    • Home grown solution
    • Vertica basically has been our solution since 2008

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Simplicity
    • Standard SQL interface
    • Simultaneous loading and querying
    • Aggressive compression
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
    • High availability without hardware redundancy
    • Optimizer and execution engine
    • Flexibility
    • Low total cost of ownership (TCO)
    • High availability for analytics systems
  • Increased query performance by > 1,000% through improvement in response time with HPE Vertica.
  • Can compress their data by > 50% with HPE Vertica.
  • Saved $1,000,000 – $5,000,000 in overall cost savings from using HPE Vertica.

HPE Vertica’s Best Capabilities

Which of the following capabilities in HPE Vertica Software do you find most valuable?

Standard SQL interface
75%
Massive scalability on industry-standard hardware
62%
Simultaneous loading and querying
55%
Superior compression
51%
In-database analytics capabilities
38%
High availability without hardware redundancy
36%
Optimizer and Execution Engine
27%
Concurrency for hundreds or thousands of users
25%
Ease of interaction with existing BI tools & ETL tools
25%
Database Designer and Administration Tools
18%
Advanced analytics: predictive, geospatial, sentiment, etc
12%
Workload management
11%
Semi structured and structured data analytics in one environment
9%
Ability to do low latency SQL queries on Hadoop
6%
Unified environment: On-prem, on Hadoop,and in the Cloud
3%

Case Study: Medium Enterprise Telecommunications Services Company

Introduction

This case study of a medium enterprise telecommunications services company is based on a March 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.

“The ability to continuously load data and query at the same time with Vertica has allowed our applications to provide improved availability and access to big data.”

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:
    • Behavior analytics
    • Customer analytics
    • Predictive analytics
  • Currently managing 80 – 200 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Oracle
    • Oracle OBIEE

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
    • Aggressive compression
    • In-database analytics capabilities – R, C++
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
    • High availability without hardware redundancy
    • Optimizer and execution engine
    • Workload management
    • 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
    • Improved insight into customer behaviors
    • Increased amount and complexity of data analyzed
    • A reduction in database infrastructure costs
    • A reduction in storage costs
    • Increased concurrency for accessing analytics/BI (multiple users)
    • Ease of adding additional database capacity
    • High availability for analytics systems
  • Increased query performance by 100 – 500% through improvement in response time with HPE Vertica.
  • Is able to analyze 100 – 500% more data at one time with HPE Vertica.
  • Saved $500,000 – $1,000,000 in overall cost savings from using HPE Vertica.


More to Explore



About HPE Software Big Data Solutions

With the HPE Vertica Analytics 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