Collection of Vertica User Stats, Charts & TechFacts -Part 2

Check out the breadth and depth of use-cases, the pain points addressed by Vertica, the range of benefits achieved with the solution



HPE Software Vertica Customer Statement

A large enterprise media & entertainment company increased query performance by > 1,000% through improvement in response time with HPE Vertica.

HPE Software Vertica Customer Statement

A medium enterprise computer services company increased query performance by > 1,000% through improvement in response time with HPE Vertica.

A Global 500 telecommunications services company saved $1,000,000 – $5,000,000 in overall cost savings from using HPE Vertica.

University Healthsystem Consortium saved $1,000,000 – $5,000,000 in overall cost savings from using HPE Vertica.

A large enterprise insurance company saved $1,000,000 – $5,000,000 in overall cost savings from using HPE Vertica.

Customers see quick ROI with HPE Vertica

A medium enterprise health care company has saved $5,000,000 – $10,000,000 in overall cost savings from using HPE Vertica.

3 out of 4 Vertica customers have achieved at least $100-500K in ROI

66% of surveyed IT organizations $100,000 – $500,000 or more in overall cost savings from using HPE Vertica.

HPE Software Vertica Customer Statistic

41% of surveyed Vertica users use Tableau in their environment.

HPE Software Vertica Customer Statistic

33% of surveyed Vertica users use Hadoop in their environment.

HPE Software Vertica Customer Statistic

12% of surveyed IT organizations purchased HPE Vertica over Teradata.

HPE Software Vertica Customer Statistic

31% of surveyed IT organizations purchased HPE Vertica over Oracle.

HPE Software Vertica Customer Statistic

10% of surveyed IT organizations purchased HPE Vertica over IBM Neteeza.

HPE Software Vertica Customer Statistic

21% of surveyed IT organizations purchased HPE Vertica over Microsoft.

HPE Software Vertica Customer Statistic

21% of surveyed IT organizations purchased HPE Vertica over EMC Greenplum.

HPE Software Vertica Customer Statistic

24% of surveyed IT organizations purchased HPE Vertica over MySQL.

80% of surveyed IT organizations increased query performance by at least 50 – 100% or more through improvement in response time with HPE Vertica.

63% of surveyed IT organizations increased query performance by 100 – 500% or more through improvement in response time with HPE Vertica.

34% of surveyed IT organizations can compress their data by > 50% or more with HPE Vertica.

80% of surveyed IT organizations can compress their data by at least 25-40% or more with HPE Vertica.

69% of surveyed IT organizations have achieved at least $100,000 – $500,000 or more in overall cost savings from using HPE Vertica.

HPE Software Vertica Customer Statistic

80% of surveyed IT organizations can compress their data by 25-40% or more with 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
20%

Users have chosen Vertica over several vendors

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

Amazon Redshift
5%
EMC Greenplum
21%
Hadoop
8%
IBM Neteeza
10%
Infobright
9%
MongoDB
6%
Microsoft
21%
MySQL
24%
Oracle
31%
Oracle Exadata
11%
ParAccel
5%
SybaseIQ
5%
Teradata
12%
Home grown solution
10%
None - Vertica is our primary solution
12%

From TB to PB – the range of data managed by Vertica customers

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
5%
40 – 80 TB
3%
20 – 40 TB
12%
10 – 20 TB
12%
5 – 10 TB
15%
1 – 5 TB
26%
500 GB – 1 TB
10%
0 – 500 GB
9%

Challenges addressed by Vertica customers

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

Queries run very slow or do not complete at all
65%
Inability to analyze large volumes of data
66%
Data is summarized or aggregated, losing detail and insights
29%
Lack of concurrency limits access to data
18%
Cost of adding capacity is prohibitive due to licensing or hardware
31%
Queries must be stopped while loading new data
15%
Current system has reached its performance limits
43%
Lack of business insight from data
18%
Lack of connection between current BI/analytics initiatives and needs of business
16%
Existing data warehouse/data management infrastructure cannot handle Big Data
39%

Majority of Vertica users have increased query performance by at least 100-500% or more

By what % have you increased query performance through improvement in response time with Vertica?

Over 1,000%
9%
500 – 1,000%
26%
100 – 500%
31%
50 – 100%
16%
10 – 50%
15%
0 – 10%
3%

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 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%

Vertica means insanely high query performance!

By what % have you increased query performance through improvement in response time with Vertica?

Over 1,000%
10%
500 – 1,000%
24%
100 – 500%
30%
50 – 100%
17%
10 – 50%
14%
0 – 10%
5%

Users Using Vertica (Big Data solutions) Analyze A Wide Range Of Data

Which of the following applications are you implementing with Vertica?

Promotional testing
16%
Claims analysis
7%
Patient records analysis
5%
Clinical data analysis
8%
Fraud monitoring/prevention
15%
Financial tracking
21%
Tick data back-testing
2%
Behavior analytics
38%
Clickstream analysis
30%
Network performance analysis
13%
Cyber security monitoring/prevention
6%
Customer analytics
58%
Loyalty analysis
20%
Predictive analytics
41%
Campaign management
24%
Machine/sensor data analysis
12%

Vertica significantly compresses your data freeing up data storage space

By what percentage (%) are you able to compress your data by using Vertica?
For example, if you compressed 1PB of data to 500TB, the compression is 50%.

Greater than 50%
34%
40-50%
23%
25-40%
23%
10-25%
16%
1-10%
4%

Instant ROI with Vertica

Please estimate the overall cost savings from using Vertica achieved through – improved analytics and reporting productivity, reduced server and storage requirements, and ease of implementation.

Over $10,000,000
1%
$5,000,000 - $10,000,000
1%
$1,000,000 - $5,000,000
10%
$500,000 - $1,000,000
19%
$100,000 - $500,000
35%
$0 - $100,000
34%

Vertica’s top features as rated by the users

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

Extreme speed and performance
80%
Massive scalability on industry-standard hardware
48%
Simplicity
38%
Standard SQL interface
70%
Simultaneous loading and querying
40%
Concurrency for hundreds or thousands of users
9%
Aggressive compression
40%
Database Designer and Administration Tools
16%
In-database analytics capabilities – R, C++
16%
Native support MapReduce and Hadoop
9%
Ease of interaction with existing BI tools through connectors and ODBC/JDBC
34%
High availability without hardware redundancy
30%
Optimizer and Execution Engine
21%
Workload management
10%
Flexibility
13%
Low Total Cost of Ownership (TCO)
28%
High availability for analytics systems
31%