NetApp offers cost effective solutions for analytics environments that provide extreme performance and availability. Their solutions provide 500% better performance during data rebuilds for Hadoop and 33% cost reduction, as well as 50% faster access for NoSQL environments. NetApp technologies are certified for all leading analytics platforms so customers can deploy with confidence.

1. NetApp
for Analytics
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10GOOD
REASONS
HIGH PERFORMANCE
AND COST REDUCTION
www.netapp.com/us/solutions/big-data/
+50%
10:1
NetApp offer cost effective
solutions that provide a
combination of extreme
performance and availability
for your analytics environment
AVAILABILITY AND
PERFORMANCE
Many thousands of companies
across the world rely on NetApp
solutions to underpin their
analytics environments
500% better performance during
data rebuilds for Hadoop versus
commodity servers, whilst also
delivering 33% cost reduction
MANY REFERENCES
Significantly improve data
reconstruction times, whilst
providing 50% faster access with
consistent performance for NoSQL
environments
FASTER ACCESS
Our range of storage platforms
ensure that you can get the best
blend of performance, data
management, security and multi-
tenancy to meet your specific
requirements
OurTechnologies are certified /
validated for all of the leading
analytics platforms so you can
deploy with confidence.
CERTIFIED
10:1 Reduction in server count
when using our solutions instead
of commodity servers with internal
disks for Splunk, with increased
performance
REDUCED
SERVER COUNT
Technical Reports have been
developed to ensure that you
have a clear and concise guide to
the best practice of deploying
NetApp solutions for your
analytics environment
TECHNICAL REPORTS
A range of services are available
to advise, assess, implement and
optimize your storage environment
to ensure it's optimum setup,
health and performance
BEST BLEND FOR
YOUR REQUIREMENTS
OPTIMUM SETUP, HEALTH
AND PERFORMANCE
The NetApp FAS NFS Connector
for Hadoop enables you to run
analytics natively on NFS v3 data
without adding infrastructure,
while benefiting from enterprise-
level data management
USE EXISTING
INFRASTRUCTURE