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 »



398 Customers Surveyed

3,136 Data Points Collected

208 Published TechFacts

33 Published Charts

59 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

Data-warehouse in the cloud possible only with HP Vertica

“With Vertica we have been able to offer a data warehouse in the cloud. That would not have been possible without the ability to run on commodity hardware and the ease of management.”

Source:

Chief Technology Officer, Small Business Computer Services Company

Research by TechValidate

Case Study: Choice Hotels International, 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 need to stop queries while loading new data
    • 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:
    • Promotional testing
    • Financial tracking
    • Behavior analytics
    • Clickstream analyses
    • Customer analytics
    • Loyalty analysis
    • 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:
    • Business Objects Crystal Reports
    • Microsoft SQL Server Reporting Services
    • SPSS
    • Tableau

Results

  • Values the following features in HP Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • Simultaneous loading and querying
    • Concurrency for hundreds or thousands of users
    • Aggressive compression
    • Database designer and administration tools
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
    • High availability without hardware redundancy
    • Optimizer and execution engine
    • Low total cost of ownership (TCO)
    • High availability for analytics systems
  • Achieved the following with HP Vertica software:
    • Faster analysis and reporting
    • The ability to load and analyze data concurrently
    • Greater business insight
    • A more interactive, conversational view of our data
    • Improved insight into customer behaviors
    • Increased amount and complexity of data analyzed
    • A reduction in database infrastructure costs
    • A reduction in storage costs
    • Increased concurrency for accessing analytics/BI (multiple users)
    • Reduced implementation time for a new analytics warehouse
    • Ease of adding additional database capacity
    • High availability for analytics systems
  • Increased query performance by 50 – 100% through improvement in response time with HP Vertica.
  • Is able to analyze 100 – 500% more data at one time with HP Vertica.

Testimonials

“[Vertica is] fast, small footprint, and can load anything.”

Source:

Venkatesh Kamat, Sr Data Analyst, Choice Hotels International, Inc.

Research by TechValidate

HP Vertica Analytics Platform Software addresses a wide range of pain points

Which of the following pain points are addressed by the HP Vertica Analytics Platform?

Queries run very slow or do not complete at all
66%
Inability to analyze large volumes of data
67%
Data is summarized or aggregated, losing detail and insights
33%
Lack of concurrency limits access to data
16%
Cost of adding capacity is prohibitive due to licensing or hardware
29%
Queries must be stopped while loading new data
13%
Current system has reached its performance limits
42%
Lack of business insight from data
19%
Lack of connection between current BI/analytics initiatives and needs of business
17%
Existing data warehouse/data management infrastructure cannot handle Big Data
40%
Other
13%

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

Source:

Survey of 192 users of HP Vertica

Research by TechValidate

Vertica’s scalability and its OEM-friendly pricing helped maintain reputation

“By replacing our current MySQL database with Vertica, we have achieved 20x – 500x improvement in query speed with one-fourth the storage space. Vertica’s scalability and its OEM-friendly pricing helped us maintain our reputation for delivering an excellent SAN monitoring application.”

Source:

Engineer, Medium Enterprise Computer Software 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

Case Study: Small Business Computer Software Company

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 lack of business insight from data

Use Case

  • Is implementing the following applications with HP Vertica:
    • Promotional testing
    • Financial tracking
    • Behavior analytics
    • Clickstream analyses
    • Customer analytics
    • Predictive analytics
  • Currently managing 1 – 5 TB of data with HP Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Hadoop
    • SPSS
    • Tableau

Results

  • Values the following features in HP Vertica software the most:
    • Extreme speed and performance
    • Standard SQL interface
    • Aggressive compression
    • Database designer and administration tools
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
    • Workload management
    • High availability for analytics systems
  • Achieved the following with HP Vertica software:
    • Faster analysis and reporting
    • Greater business insight
    • A more interactive, conversational view of our data
    • Improved insight into customer behaviors
    • Enhanced profitability
    • Increased amount and complexity of data analyzed
    • Reduced implementation time for a new analytics warehouse
    • High availability for analytics systems
  • Increased query performance by 100 – 500% through improvement in response time with HP Vertica.
  • Is able to analyze 100 – 500% more data at one time with HP Vertica.
  • Saved $1,000,000 – $5,000,000 in overall cost savings from using HP Vertica.

Testimonials

“We use Vertica as our data warehouse for just about everything. It has allowed us to do better financial reporting, analyze user data to improve user experience and our products, increase revenue and profitability, and build complicated models for predictive analytics.”

Source:

TechValidate Survey of a Small Business Computer Software 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.