Collection of Vertica User Stats, Charts and TechFacts

Check out the breadth and depth of customer usecases, the pain points addressed by Vertica, the range of benefits achieved with the solution



Vertica customers use a wide range of BI, visualization and ETL tools

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

Ab Initio
4%
Business Objects Crystal Reports
10%
Cognos 8 BI
10%
Hadoop
28%
IBM Data Stage
4%
Informatica – Power Center
9%
JasperSoft
5%
Microsoft Integrated Services
9%
Microsoft SQL Server Reporting Services
10%
MicroStrategy
12%
Oracle
16%
Pentaho Kettle
13%
Pentaho Mondrian
5%
SAS
9%
Spotfire (TIBCO)
5%
SPSS
6%
Tableau
34%
Talend Open Studio
11%
Homegrown
21%

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

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

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%

Vertica provides analytics for a wide range of applications

Which of the following applications are you implementing with Vertica?

Promotional testing
10%
Claims analyses
9%
Patient records analyses
7%
Clinical data analyses
11%
Fraud monitoring/prevention
13%
Financial tracking
21%
Tick data back-testing
2%
Behavior analytics
35%
Clickstream analyses
27%
Network performance analyses
14%
Cyber security monitoring/prevention
4%
Customer analytics
58%
Compliance testing
3%
Loyalty analysis
16%
Predictive analytics
32%
Campaign management
22%
Machine/sensor data analysis
16%

Most Valued feature in Vertica – Extreme Speed and Performance

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

Extreme speed and performance
80%
Massive scalability on industry-standard hardware
45%
Simplicity
38%
Standard SQL interface
69%
Simultaneous loading and querying
40%
Concurrency for hundreds or thousands of users
9%
Aggressive compression
48%
Database Designer and Administration Tools
17%
In-database analytics capabilities – R, C++
17%
Native support MapReduce and Hadoop
11%
Ease of interaction with existing BI tools through connectors and ODBC/JDBC
35%
High availability without hardware redundancy
31%
Optimizer and Execution Engine
22%
Workload management
10%
Flexibility
11%
Low Total Cost of Ownership (TCO)
27%
High availability for analytics systems
32%

Vertica Analytics Platform Software addresses a wide range of pain points

Which of the following pain points are addressed by the 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%

Vertica customers have achieved a wide range of benefits

Which of the following benefits have you achieved by using Vertica?

Faster analysis and reporting
84%
Ability to load and analyze data concurrently
41%
Greater business insight
34%
Greater financial insight
10%
A more interactive, conversational view of our data
25%
Improved insight into customer behaviors
24%
Enhanced profitability
8%
Increased amount and complexity of data analyzed
47%
Reduction in database infrastructure costs
26%
Reduction in storage costs
20%
Increased concurrency for accessing analytics/BI (multiple users)
17%
Reduced implementation time for a new analytics warehouse
15%
Ease of adding additional database capacity
20%
Advanced analytics with in-database C++ or R
7%
High availability for analytics systems
31%

Greater than $10 Million in savings with HPE Vertica

A medium enterprise media & entertainment company saved more than $10,000,000 in overall cost savings from using HPE Vertica.

Significant cost savings with HPE Vertica

65% of surveyed IT organizations have achieved $100,000 – $500,000 or more in overall cost savings from using HPE Vertica.

Nearly all Vertica customers improved query performance with the solution

97% of surveyed IT organizations increased query performance by 10 – 50% or more through improved response time with HPE Vertica.

Significant increase in data analyzed with HPE Vertica Software

84% of surveyed IT organizations are able to analyze 50 – 100% or more of their data at one time with HPE Vertica.

HPE Vertica improves query performance by more than 1000% for a S&P 500 consumer products

A S&P 500 consumer products company increased query performance by more than 1,000% through improved response time with HPE Vertica.

HPE Vertica improves query performance by more than 1000% for a small business transportat

A small business transportation services company increased query performance by more than 1,000% through improved response time with HPE Vertica.

Large telco services company sees significant cost savings with HPE Vertica

A large enterprise telecommunications services company saved $500,000 – $1,000,000 in overall cost savings from using HPE Vertica.

S&P 500 consumer products company sees significant cost savings with HPE Vertica

A S&P 500 consumer products company saved $500,000 – $1,000,000 in overall cost savings from using HPE Vertica.

Computer services company sees significant cost savings with HPE Vertica

A small business computer services company saved $500,000 – $1,000,000 in overall cost savings from using HPE Vertica.

28% of surveyed IT organizations who use HPE Vertica Analytics Platform, also use Hadoop in their environment.

54% of surveyed IT organizations are currently managing 5 – 10 TB or more of data with HPE Vertica software.

34% of surveyed organizations who use HPE Vertica Analytics Platform, also use Tableau as their Business Intelligence (BI), visualization, and ETL tool in their environment.