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 »

951 Customers Surveyed

7,657 Data Points Collected

548 Published TechFacts

48 Published Charts

92 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

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%

HPE IDOL Case Study



This case study of McAfee is based on an April 2017 survey of HPE IDOL customers by TechValidate, a 3rd-party research service.

“The use of IDOL has improved our organizational performance and competitiveness.”

“HPE IDOL as a package has given us the opportunity to present good and relevant, faceted results based on different inputs from business to the customers and has made it easy for the customers to search content based on their will and wish.”


The business challenges that led the profiled company to evaluate and ultimately select HPE IDOL:

  • Challenges experienced before moving to HPE IDOL:
    • Unable to effectively and/or efficiently search and discover contextually relevant information
    • Unable to process all needed files in different formats
  • Considered the following solutions before choosing HPE IDOL:
    • Google
    • Solr / Lucene
    • Oracle Endeca

Use Case

The key features and functionalities of HPE IDOL that the surveyed company uses:

  • Using the following HPE IDOL solutions:
    • Enterprise search and knowledge management
    • Text analytics
  • Would recommend HPE IDOL solutions for the following features / functions / capabilities:
    • Robust search supporting multiple query options, such as Boolean, Conceptual, and Text
    • Unified platform for text and rich media analytics
    • Scalability with the ability to handle large amounts of documents or information
    • Ability to process information in multiple languages
    • Accessibility with the ability to search many different file types and reach many systems
    • Automation with the ability to automate manual processes with advanced functions


The surveyed company achieved the following results with HPE IDOL:

  • Achieved the following technical and business benefits after using HPE IDOL solutions:
    • Increased revenue opportunities by enabling the discovery of critical business insights
    • Increased use of knowledge base articles by making them available in searches for all users.
  • Indexes 5 to 25M documents with HPE IDOL solutions.
  • Saved more than 75% of time by using HPE IDOL solutions to search for information and gather business insights.

Case Study: Global 500 Consumer Products Company


This case study of a Global 500 consumer products company is based on a March 2016 survey of HPE Vertica customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“We use HPE Vertica in a machine to machine data. We analyze data from MRI sensors to preempt maintenance on the device.”

“We recommend Vertica for its speed, industry standard, and the capability of the HPE team.”

“Simple numbers convinced our organization to use Vertica instead of IBM in a specific situation. It’s cheaper, faster and quite simply, better.”


  • Using HPE Vertica for the following:
    • Machine/sensor data analysis (Internet of Things)
  • Replaced the following vendors with HPE Vertica:
    • IBM

Use Case

  • Currently manages 201 – 500 TB of data with HPE Vertica.
  • Uses the following Business Intelligence (BI), Visualization and/or ETL tools in their environment with HPE Vertica:
    • ETL: Hadoop
    • BI: Tableau
  • Uses the following Advanced Analytics and/or Replication tools in their environment with HPE Vertica:
    • Advanced Analytics: Home grown (describe in other)
    • NA


  • The following are the most valuable HPE Vertica capabilities:
    • Standard SQL interface
    • Ease of interaction with existing BI tools & ETL tools
    • Semi structured and structured data analytics in one environment
    • Ability to do low latency SQL queries on Hadoop
  • Reduced TCO by 26-50% with HPE Vertica.

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
Massive scalability on industry-standard hardware
Standard SQL interface
Simultaneous loading and querying
Concurrency for hundreds or thousands of users
Aggressive compression
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
Optimizer and Execution Engine
Workload management
Low Total Cost of Ownership (TCO)
High availability for analytics systems

Vertica Customer Satisfaction Rating

A System Integrator at a global 500 telecommunications services company would be very likely to recommend Vertica for this reason:

Vertica is powerful and simple.

A Senior IT Architect of a medium enterprise energy & utilities company is likely to recommend HPE Vertica for the following reason:

We use Vertica and we’re very happy with it.

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