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

211 Published TechFacts

33 Published Charts

61 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

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

Case Study: Conclusive Analytics

Challenges

  • Addressed the following pain points with the HP Vertica Analytics Platform:
    • Slow or incomplete queries
    • The inability to analyze large volumes of data
    • The need to stop queries while loading new data

Use Case

  • Is implementing the following applications with HP Vertica:
    • Financial tracking
    • Behavior analytics
    • Customer analytics
    • Loyalty analysis
    • Predictive analytics
    • Campaign management
  • Currently managing 1 – 5 TB of data with HP Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Microsoft SQL Server Reporting Services
    • MicroStrategy
    • Tableau
  • Purchased HP Vertica over the following vendors:
    • Microsoft

Results

  • Values the following features in HP Vertica software the most:
    • Extreme speed and performance
    • Simplicity
    • Standard SQL interface
    • Simultaneous loading and querying
    • In-database analytics capabilities – R, C++
    • High availability for analytics systems
  • Increased query performance by 50 – 100% through improvement in response time with HP Vertica.
  • Can compress their data by 25-40% with HP Vertica.

Source:

Mark Rees, CEO, Conclusive Analytics

Research by TechValidate

Case Study: Nexus Technologies, Inc.

Challenges

  • Addressed the following pain points with the HP 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
    • 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
    • Existing data warehouse/data management infrastructure that could not handle Big Data

Use Case

  • Is implementing the following applications with HP Vertica:
    • Network performance analysis
  • Currently managing 5 – 10 TB of data with HP Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Cognos 8 BI
    • Syncsort DMExpress
    • Tableau
    • Talend Open Studio
  • Purchased HP Vertica over the following vendors:
    • Oracle
    • Oracle Exadata
    • Teradata

Results

  • Values the following features in HP Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • Standard SQL interface
    • Database designer and administration tools
    • In-database analytics capabilities – R, C++
    • Native support MapReduce and Hadoop
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
    • High availability without hardware redundancy
    • Low total cost of ownership (TCO)
    • High availability for analytics systems
  • Increased query performance by 100 – 500% through improvement in response time with HP Vertica.
  • Can compress their data by 10-25% with HP Vertica.

Testimonials

“Vertica has improved end to end business transactions. It saves time and money.”

Source:

Nexus Support, Engineer, Nexus Technologies, Inc.

Research by TechValidate

5/5 Stars

How our organization uses HP Software Vertica:

“We are utilizing HP Vertica as our Core Data Warehouse platform and a key component to our Big Data ecosystem.”

Would you recommend HP Software Vertica?

“Yes, I would recommend HP Vertica and frequently do. The engineering team is extremely responsive and the database continues to stand up to the giants in this space. It’s just a matter of time before HP Vertica is a giant among giants.”

Source:

IT Director, Global 500 Telecommunications Services Company

Research by TechValidate

From TB to PB - wide range of data managed by Vertica customers

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

1PB +
3%
500 TB – 1 PB
2%
200 – 500 TB
4%
80 – 200 TB
6%
40 – 80 TB
3%
20 – 40 TB
12%
10 – 20 TB
12%
5 – 10 TB
15%
1 – 5 TB
26%
500 GB – 1 TB
9%
0 – 500 GB
10%

Source:

TechValidate survey of 303 users of HP Software Vertica

Research by TechValidate

HP Vertica Software provides detailed data analysis

“Vertica enables historical and detailed data analysis which my company could not have done before. The query performance is impressive.
"

Source:

Application Manager, Medium Enterprise Computer Services 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.