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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


Benefits of using HPE Information Governance solutions

Which of the following Information Governance results, benefits, and improvements have you achieved using HPE’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%

Case Study: Ad Gear Technologies Inc.

Introduction

This case study of AdGear Technologies Inc. is based on a February 2013 survey of HP Vertica customers by TechValidate, a 3rd-party research service.

Challenges

  • Addressed the following pain points with the HPE Vertica Analytics Platform:
    • Slow or incomplete queries
    • Summarized or aggregated data, losing detail and insights
    • The prohibitive cost of adding capacity due to licensing or hardware
    • Performance limits with current system

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Customer 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:
    • Hadoop
    • Homegrown

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Standard SQL interface
    • Aggressive compression
    • High availability without hardware redundancy
    • High availability for analytics systems
  • Achieved the following with HPE Vertica software:
    • Faster analysis and reporting
    • A more interactive, conversational view of our data
    • Increased amount and complexity of data analyzed
    • Ease of adding additional database capacity
    • High availability for analytics systems
  • Increased query performance by 500 – 1,000% through improvement in response time with HPE Vertica.

Case Study: Yota

Introduction

This case study of Yota is based on a February 2013 survey of HP Vertica customers by TechValidate, a 3rd-party research service.

“Yota’s growth rate, and the transfer to 4G LTE, meant that the company needed a unified data warehouse to enable the processing and analysis of “big data” in real time. Currently, Yota’s data volume is 10TB, and every 24 hours another 30GB is added.

Parallel upload ensures that data is uploaded up to 100 times faster than before, while the speed of report creation and random access is, on average, 10 times faster compared with the previous data warehouse. Implementation of HPE Vertica was very simple, and the transition to the new storage database was so smooth that many employees did not even notice it was happening.

HPE Vertica will help to ensure that Yota’s online data processing, currently available in 35 Russian regions, will cover the majority of the Russian Federation’s 180 regions in the next two years."

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 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:
    • Network performance analyses
    • Customer analytics
    • Predictive analytics
    • Machine/sensor data analysis
  • 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
    • Tableau
    • Talend Open Studio

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • Simultaneous loading and querying
    • Aggressive compression
    • High availability without hardware redundancy
  • Achieved the following with HPE Vertica software:
    • Faster analysis and reporting
    • The ability to load and analyze data concurrently
    • A more interactive, conversational view of our data
    • Improved insight into customer behaviors
    • Increased amount and complexity of data analyzed
    • 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 $100,000 – $500,000 in overall cost savings from using HPE Vertica.

An IT Professional of a large enterprise computer services company is likely to recommend HPE Vertica for the following reason:

The database is rather easy to use; but my experience is mainly on the infrastructure side.

HPE Vertica provides real-time analysis and improves data availability

With Vertica, we were able to significantly improve the data load and query run times. This means near real time analysis and availability of data.

IT Manager, Medium Enterprise Professional Services Company

HPE Vertica Customers manage a wide range of data size from PB to GB

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

1PB +
3%
500 TB – 1 PB
2%
200 – 500 TB
3%
80 – 200 TB
7%
40 – 80 TB
3%
20 – 40 TB
12%
10 – 20 TB
10%
5 – 10 TB
14%
1 – 5 TB
26%
500 GB – 1 TB
12%
0 – 500 GB
9%


More to Explore



About HPE Software Big Data Solutions

With the HPE Haven 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