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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 »



401 Customers Surveyed

3,146 Data Points Collected

211 Published TechFacts

33 Published Charts

61 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


Research by TechValidate

Vertica's top features as rated by the users

Which of the following features in HPE Vertica software do you value the most?

Extreme speed and performance
80%
Massive scalability on industry-standard hardware
48%
Simplicity
38%
Standard SQL interface
70%
Simultaneous loading and querying
40%
Concurrency for hundreds or thousands of users
9%
Aggressive compression
40%
Database Designer and Administration Tools
16%
In-database analytics capabilities – R, C++
16%
Native support MapReduce and Hadoop
9%
Ease of interaction with existing BI tools through connectors and ODBC/JDBC
34%
High availability without hardware redundancy
30%
Optimizer and Execution Engine
21%
Workload management
10%
Flexibility
13%
Low Total Cost of Ownership (TCO)
28%
High availability for analytics systems
31%
Other
4%

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

Source:

Survey of 305 users of HPE Software Vertica

Research by TechValidate

Case Study: Conclusive Analytics

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 need to stop queries while loading new data

Use Case

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

Results

  • Values the following features in HPE 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 HPE Vertica.
  • Can compress their data by 25-40% with HPE Vertica.

Source:

Mark Rees, CEO, Conclusive Analytics

Research by TechValidate

HPE Vertica Software rocks

“Vertica’s query engine rocks.”

Source:

Engineer, Medium Enterprise Consumer Services Company

Research by TechValidate

HPE Vertica Software enables us to understand customer behaviors

“With Vertica we are able to understand customer behaviors in near-real time and adapt accordingly.”

Source:

IT Director, Global 500 Professional Services Company

Research by TechValidate

Case Study: Global 500 Telecommunications Services Company

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.

Testimonials

“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.”

Source:

TechValidate Survey of a Global 500 Telecommunications Services Company

Research by TechValidate

Majority of Vertica users are able to analyze 100-500% more data at one time than before

How much more data are you able to analyze at one time with HPE Vertica (i.e. longer timeframes, more complexity, additional data sources)?

Over 1,000%
13%
500 – 1,000%
23%
100 – 500%
34%
50 – 100%
13%
10 – 50%
12%
0 – 10%
5%

Source:

Survey of 121 users of HPE Software Vertica



More to Explore



About HPE 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.

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