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Principled
Technologies®
Copyright 2023 Principled Technologies, Inc. Based on “Dell APEX outperformed comparable Amazon EC2 instances on
a decision-support workload,” a Principled Technologies report, February 2023. Principled Technologies®
is a registered
trademark of Principled Technologies, Inc. All other product names are the trademarks of their respective owners.
A solution using Dell APEX Private Cloud and Dell APEX
Data Storage Services Block generated data-driven insights
earlier than Amazon EC2 c6i.16xlarge instances with
Amazon Elastic Block Store (EBS) storage
A Dell APEX solution outperformed comparable
Amazon EC2 instances on a decision support workload
Read and write throughput
MB/s | Higher is better
Dell APEX Solution Amazon EC2 solution
2,785
Read
Write
3,477
1,370
1,634
24.8% greater read throughput
19.2% greater write throughput
13.6% less time to
complete a set of
decision support queries
on a 4TB dataset
3:12
Time (h:mm) | Lower is better
3:43
Dell APEX
Solution
Amazon
EC2 solution
The Dell APEX solution
also delivered greater read
and write throughput while
running the set of queries.
Testing involved a decision support system (DSS) big data
workload in two environments whose VMs had the same
vCPU, memory, and storage drive capacity:
• An eight-node Hadoop cluster running on Dell
APEX Private Cloud General Purpose instances
• An eight-node Hadoop cluster on Amazon EC2
c6i.16xlarge instances
Testing used Hadoop because it is a popular workload to
facilitate DSS solutions. For complete configuration details,
read the complete report.
The Dell APEX solution took 13.6 percent less time
to complete the workload than the Amazon EC2
c6i.16xlarge solution. Higher-performing systems
provide insight faster, and dedicated systems can provide
predictable performance and a consistent experience. We
also investigated pricing and found that the Dell APEX
solution offers a simplified approach.
See configuration details and more at https://facts.pt/XJvpK9D

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Dell APEX outperformed comparable Amazon EC2 instances on a decision support workload - Infographic

  • 1. Principled Technologies® Copyright 2023 Principled Technologies, Inc. Based on “Dell APEX outperformed comparable Amazon EC2 instances on a decision-support workload,” a Principled Technologies report, February 2023. Principled Technologies® is a registered trademark of Principled Technologies, Inc. All other product names are the trademarks of their respective owners. A solution using Dell APEX Private Cloud and Dell APEX Data Storage Services Block generated data-driven insights earlier than Amazon EC2 c6i.16xlarge instances with Amazon Elastic Block Store (EBS) storage A Dell APEX solution outperformed comparable Amazon EC2 instances on a decision support workload Read and write throughput MB/s | Higher is better Dell APEX Solution Amazon EC2 solution 2,785 Read Write 3,477 1,370 1,634 24.8% greater read throughput 19.2% greater write throughput 13.6% less time to complete a set of decision support queries on a 4TB dataset 3:12 Time (h:mm) | Lower is better 3:43 Dell APEX Solution Amazon EC2 solution The Dell APEX solution also delivered greater read and write throughput while running the set of queries. Testing involved a decision support system (DSS) big data workload in two environments whose VMs had the same vCPU, memory, and storage drive capacity: • An eight-node Hadoop cluster running on Dell APEX Private Cloud General Purpose instances • An eight-node Hadoop cluster on Amazon EC2 c6i.16xlarge instances Testing used Hadoop because it is a popular workload to facilitate DSS solutions. For complete configuration details, read the complete report. The Dell APEX solution took 13.6 percent less time to complete the workload than the Amazon EC2 c6i.16xlarge solution. Higher-performing systems provide insight faster, and dedicated systems can provide predictable performance and a consistent experience. We also investigated pricing and found that the Dell APEX solution offers a simplified approach. See configuration details and more at https://facts.pt/XJvpK9D