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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 »



743 Customers Surveyed

5,786 Data Points Collected

463 Published TechFacts

46 Published Charts

89 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


HPE IDOL Customer Satisfaction Rating

Conrado Torres, an IT Specialist at TELUS Corporation, would be very likely to recommend HPE IDOL for this reason:

Very good support.

An Engineer of a medium enterprise computer software company is very likely to recommend HPE Vertica for the following reason:

For an excellent set of features and good technical support.

Case Study: Small Business Automotive & Transport Company

Introduction

This case study of a small business automotive & transport company is based on a January 2014 survey of HP Software Vertica customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“Vertica allows us to load millions of events daily in seconds, merging it with billions of existing records in a perfectly optimized fashion. We are also able to reduce runtime on our aggregation and other business intelligence solutions down to seconds from hours.

I cannot imagine how we would function if we were forced to move back to an older transactional database technology."

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 prohibitive cost of adding capacity due to licensing or hardware
    • The need to stop queries while loading new data

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Clickstream analysis
    • Network performance analysis
    • Predictive analytics
  • Currently managing 5 – 10 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Hadoop
    • MicroStrategy
  • Purchased HPE Vertica over the following vendors:
    • Microsoft

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • Standard SQL interface
    • Simultaneous loading and querying
    • Concurrency for hundreds or thousands of users
    • 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)
  • Increased query performance by > 1,000% through improvement in response time with HPE Vertica.
  • Can compress their data by > 50% with HPE Vertica.
  • Saved $100,000 – $500,000 in overall cost savings from using HPE Vertica.

BI, ETL tools used with Vertica

Which of the following Business Intelligence (BI), visualization, and ETL tools do you use in your environment?

Ab Initio
3%
Business Objects Crystal Reports
11%
Business Objects xCelsius
2%
Cognos 8 BI
8%
GoldenGate TDM
2%
Hadoop
30%
IBM Data Stage
3%
Informatica – Data Replicator
2%
Informatica – Power Center
9%
JasperSoft
5%
Microsoft Integrated Services
8%
Microsoft SQL Server Reporting Services
9%
MicroStrategy
13%
Oracle
14%
Oracle GoldenGate
3%
Pentaho Kettle
14%
Pentaho Mondrian
5%
SAS
8%
Spotfire (TIBCO)
4%
SPSS
4%
Syncsort DMExpress
2%
Tableau
37%
Talend Open Studio
11%
Homegrown (please describe in Other)
20%

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.

Vertica customers have chosen Vertica over several vendors

HPE Vertica was chosen over OR has replaced (if it did) which of the following vendors?

1010 Data
4%
Amazon Redshift
7%
EMC Greenplum
23%
Exasol
2%
Hadoop
10%
IBM Neteeza
14%
Infobright
11%
MongoDB
7%
Microsoft
21%
MySQL
25%
Oracle
28%
Oracle Exadata
13%
ParAccel
7%
SAP
4%
SybaseIQ
6%
Teradata
14%
Home grown solution
10%
None - Vertica is our primary solution
11%


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