TechValidate Research on HP Software Big Data Solutions

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



401 Customers Surveyed

3,146 Data Points Collected

208 Published TechFacts

33 Published Charts

59 Published Case Studies



Featured Research Collections for HP Software Big Data Solutions

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



Selected Research Highlights


Research by TechValidate

Case Study: Small Business Computer Software Company

Challenges

  • Addressed the following pain points with the HP Vertica Analytics Platform:
    • Slow or incomplete queries
    • Performance limits with current system

Use Case

  • Is implementing the following applications with HP Vertica:
    • Cyber security monitoring/prevention
  • Currently managing 1 – 5 TB of data with HP Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Homegrown
    • Proprietary Report tools built in Crystal and HighCharts
  • Purchased HP Vertica over the following vendors:
    • EMC Greenplum
    • Hadoop
    • Oracle
    • Oracle Exadata

Results

  • Values the following features in HP Vertica software the most:
    • Extreme speed and performance
    • Standard SQL interface
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
  • Increased query performance by 100 – 500% through improvement in response time with HP Vertica.
  • Can compress their data by > 50% with HP Vertica.

Testimonials

“We need to quickly access logs from disparate security devices, usually across multiple customers. These are accessed via a real-time portal, so response time is critical. Vertica has been able to achieve these goals, where previously a real-time portal was not viable in production.”

Source:

TechValidate Survey of a Small Business Computer Software Company

Research by TechValidate

Majority of Vertica users saved $100-500K or more from using the solution

Please estimate the overall cost savings from using HP Vertica achieved through - improved analytics and reporting productivity, reduced server and storage requirements, and ease of implementation.

Over $10,000,000: 2%
$5,000,000 - $10,000,000: 0%
$1,000,000 - $5,000,000: 6%
$500,000 - $1,000,000: 22%
$100,000 - $500,000: 35%
$0 - $100,000: 35%

Source:

Survey of 54 users of HP Software Vertica

Research by TechValidate

Benefits of using HP Information Governance solutions

Which of the following Information Governance results, benefits, and improvements have you achieved using HP’s solutions?

Reduced operational and legal costs
23%
Expanded scalability to support skyrocketing information growth
23%
Increased performance
38%
Improved end user experience through efficient and transparent access to information
54%
Improved litigation readiness
31%
Quickly respond to internal or regulatory requests
38%
Mitigate risk of penalties or sanctions
23%
Other
15%

Note: this is a multiple-choice question – response percentages may not add up to 100.

Source:

TechValidate survey of 13 users of HP Information Governance solution

Research by TechValidate

“Our previous solution would fail often resulting in multiple days of downtime to recover. Vertica has been fast, stable and highly available. When we have had a problem we have been able to recover quickly.”

Source:

IT Vice President, Medium Enterprise Computer Software Company

Research by TechValidate

HP Vertica improves data handling by more than 1000% for a small media & entertainment company

A small business media & entertainment company is able to analyze over 1,000% more data at one time with HP Vertica.

Source:

Business Professional, Small Business Media & Entertainment Company

Research by TechValidate

Case Study: Small Business Computer Software Company

Challenges

  • Addressed the following pain points with the HP Vertica Analytics Platform:
    • 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
    • The lack of business insight from data
    • The lack of connection between current BI/analytics initiatives and needs of business

Use Case

  • Is implementing the following applications with HP Vertica:
    • Claims analysis
    • Behavior analytics
    • Network performance analysis
    • Customer analytics
    • Machine/sensor data analysis
  • Currently managing 20 – 40 TB of data with HP Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Oracle
  • Purchased HP Vertica over the following vendors:
    • Oracle
    • SybaseIQ

Results

  • Values the following features in HP Vertica software the most:
    • Extreme speed and performance
    • Standard SQL interface
    • High availability for analytics systems
  • Increased query performance by 100 – 500% through improvement in response time with HP Vertica.
  • Can compress their data by > 50% with HP Vertica.
  • Saved $0 – $100,000 in overall cost savings from using HP Vertica.

Testimonials

“Vertica allows us to handle millions of records per day – both for loading and processing and also for fast analyzing.”

Source:

TechValidate Survey of a Small Business Computer Software Company



More to Explore



About HP Software Big Data Solutions

The HP Big Data Solutions support many user-defined capabilities: functions, transforms, aggregates, and loading. This support brings the power and flexibility of procedural code to data—whether it’s structured, semi-structured, or unstructured— leveraging a parallel computing environment. The customer can load and transform data from a variety of sources, perform rich statistical analytics, and visualize the results using industry-standard tools. With HP Big Data Solutions, one can expect real-time results for better business decisions.