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Executive summary
Get insight from document-based
distributed MongoDB databases
sooner and have CPU headroom for
additional data analysis workloads
With additional drive bays and 2nd Generation
Intel Xeon Scalable processors, Dell EMC
PowerEdge R640 servers delivered more Yahoo
Cloud Serving Benchmark (YCSB) operations per
second than previous-generation servers and
handled the workload more efficiently
Data analysis from distributed MongoDB databases can help
improve operational efficiency and services by unifying information
from a range of sources. The sooner you can get analyses into
the hands of decision makers, the better informed their choices
will be. Older servers running data analysis workloads can slow
the decision-making process and might not be able to support
necessary big data growth.
You can help decision makers get useful insight sooner by moving
MongoDB data analysis workloads to current-generation servers.
The bump in performance can allow more business units to
generate in-depth analyses in less time.
Running read-intensive Yahoo Cloud Serving Benchmark (YCSB)
workloads in our data center, a cluster of three current-generation
Dell EMCℱ
PowerEdgeℱ
R640 servers powered by 2nd Generation
IntelÂź
XeonÂź
Scalable processors outperformed a cluster of three
previous-generation Dell EMC PowerEdge R630 servers. The
current-generation solution had lower processor utilization as
well, which could leave headroom available for running more
data analysis workloads as needs grow.
Analyze
data faster

36% more YCSB
operations per
second

while leaving
headroom on
the system
for additional
workloads
Ran the same
workload at lower
average CPU
utilization
Get insight from document-based distributed MongoDB databases sooner and have CPU headroom for additional data analysis workloads October 2019
A Principled Technologies report: Hands-on testing. Real-world results.A Principled Technologies report: Hands-on testing. Real-world results.
Gain insight from document-based
distributed data sooner
The current-generation Dell EMC PowerEdge R640
servers, powered by 2nd Generation Intel Xeon
Scalable processors and using two Dell EMC Express
Flash NVMe P4610 SSDs in the additional drive
bays, delivered 36 percent more YCSB operations
per second (OPS) than the previous-generation
solution. The performance boost could allow more of
your business units to run in-depth analysis without
experiencing slowdowns or bottlenecks while also
helping your organization accumulate data.
Have more CPU headroom to add workloads
The combination of 2nd Generation Intel Xeon Scalable
processors and additional Dell EMC NVMe SSDs in
each current-generation Dell EMC PowerEdge R640
helped the servers deliver better performance on the
data analytics workload than the previous-generation
solution while utilizing a lower overall percentage of
the processors. The current-generation solution had
an average CPU utilization of 43 percent, and the
previous-generation solution had an average of 63
percent. By replacing older servers with the current-
generation solution running Dell EMC NVMe SSDs, your
organization could improve the performance of its data
analysis workloads now while simultaneously creating
headroom to run additional workloads.
Conclusion
Replacing previous-generation Dell EMC PowerEdge
R630 servers with current-generation PowerEdge R640
servers can deliver a performance boost that allows
more of your business units to run in-depth analysis more
quickly. In addition, upgrading to 2nd Generation Intel
Xeon Scalable processors means better performance
with greater efficiency, leaving headroom available for
running additional workloads in the cluster, thus allowing
more business units to perform data analysis.
25K
50K
75K
100K
125K
Total
operations
per second
(OPS)
Higher is better
3x Dell EMC
PowerEdge R640
3x Dell EMC
PowerEdge R630
100,678
73,668
Dell EMC PowerEdge R640 server
‱ Dense 1U, two-socket server
‱ 24 DDR4 DIMM slots
‱ Up to 76.8 TB of storage
‱ Offers density and scalability for software-defined
storage and high-performance computing1
2nd Generation Intel Xeon Scalable
processor platform
‱ Offers multiple levels of performance to match
your workloads, including Bronze, Silver, Gold,
and Platinum
‱ Supports Intel Optaneℱ
DC persistent memory,2
a new memory and storage technology for
workload acceleration
The winning solution at a glance
1 Dell EMC, “PowerEdge R640 Rack Server,” accessed
October 22, 2019, https://www.dell.com/en-us/work/shop/
povw/poweredge-r640.
2 Intel, “2nd Gen Intel Xeon Scalable Processors Brief,”
accessed October 22,, 2019, https://www.intel.com/content/
www/us/en/products/docs/processors/xeon/2nd-gen-xeon-
scalable-processors-brief.html.
Analyze data faster
36% more YCSB
operations per second
Principled Technologies is a registered trademark of Principled Technologies, Inc.
All other product names are the trademarks of their respective owners.
For additional information, review the report.
Principled
TechnologiesÂź
Facts matter.ÂźPrincipled
TechnologiesÂź
Facts matter.Âź
Read the report at http://facts.pt/e9lsh58
Get insight from document-based distributed MongoDB databases sooner and have CPU headroom for additional data analysis workloads October 2019 | 2

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Get insight from document-based distributed MongoDB databases sooner and have CPU headroom for additional data analysis workloads - Summary

  • 1. Executive summary Get insight from document-based distributed MongoDB databases sooner and have CPU headroom for additional data analysis workloads With additional drive bays and 2nd Generation Intel Xeon Scalable processors, Dell EMC PowerEdge R640 servers delivered more Yahoo Cloud Serving Benchmark (YCSB) operations per second than previous-generation servers and handled the workload more efficiently Data analysis from distributed MongoDB databases can help improve operational efficiency and services by unifying information from a range of sources. The sooner you can get analyses into the hands of decision makers, the better informed their choices will be. Older servers running data analysis workloads can slow the decision-making process and might not be able to support necessary big data growth. You can help decision makers get useful insight sooner by moving MongoDB data analysis workloads to current-generation servers. The bump in performance can allow more business units to generate in-depth analyses in less time. Running read-intensive Yahoo Cloud Serving Benchmark (YCSB) workloads in our data center, a cluster of three current-generation Dell EMCℱ PowerEdgeℱ R640 servers powered by 2nd Generation IntelÂź XeonÂź Scalable processors outperformed a cluster of three previous-generation Dell EMC PowerEdge R630 servers. The current-generation solution had lower processor utilization as well, which could leave headroom available for running more data analysis workloads as needs grow. Analyze data faster
 36% more YCSB operations per second 
while leaving headroom on the system for additional workloads Ran the same workload at lower average CPU utilization Get insight from document-based distributed MongoDB databases sooner and have CPU headroom for additional data analysis workloads October 2019 A Principled Technologies report: Hands-on testing. Real-world results.A Principled Technologies report: Hands-on testing. Real-world results.
  • 2. Gain insight from document-based distributed data sooner The current-generation Dell EMC PowerEdge R640 servers, powered by 2nd Generation Intel Xeon Scalable processors and using two Dell EMC Express Flash NVMe P4610 SSDs in the additional drive bays, delivered 36 percent more YCSB operations per second (OPS) than the previous-generation solution. The performance boost could allow more of your business units to run in-depth analysis without experiencing slowdowns or bottlenecks while also helping your organization accumulate data. Have more CPU headroom to add workloads The combination of 2nd Generation Intel Xeon Scalable processors and additional Dell EMC NVMe SSDs in each current-generation Dell EMC PowerEdge R640 helped the servers deliver better performance on the data analytics workload than the previous-generation solution while utilizing a lower overall percentage of the processors. The current-generation solution had an average CPU utilization of 43 percent, and the previous-generation solution had an average of 63 percent. By replacing older servers with the current- generation solution running Dell EMC NVMe SSDs, your organization could improve the performance of its data analysis workloads now while simultaneously creating headroom to run additional workloads. Conclusion Replacing previous-generation Dell EMC PowerEdge R630 servers with current-generation PowerEdge R640 servers can deliver a performance boost that allows more of your business units to run in-depth analysis more quickly. In addition, upgrading to 2nd Generation Intel Xeon Scalable processors means better performance with greater efficiency, leaving headroom available for running additional workloads in the cluster, thus allowing more business units to perform data analysis. 25K 50K 75K 100K 125K Total operations per second (OPS) Higher is better 3x Dell EMC PowerEdge R640 3x Dell EMC PowerEdge R630 100,678 73,668 Dell EMC PowerEdge R640 server ‱ Dense 1U, two-socket server ‱ 24 DDR4 DIMM slots ‱ Up to 76.8 TB of storage ‱ Offers density and scalability for software-defined storage and high-performance computing1 2nd Generation Intel Xeon Scalable processor platform ‱ Offers multiple levels of performance to match your workloads, including Bronze, Silver, Gold, and Platinum ‱ Supports Intel Optaneℱ DC persistent memory,2 a new memory and storage technology for workload acceleration The winning solution at a glance 1 Dell EMC, “PowerEdge R640 Rack Server,” accessed October 22, 2019, https://www.dell.com/en-us/work/shop/ povw/poweredge-r640. 2 Intel, “2nd Gen Intel Xeon Scalable Processors Brief,” accessed October 22,, 2019, https://www.intel.com/content/ www/us/en/products/docs/processors/xeon/2nd-gen-xeon- scalable-processors-brief.html. Analyze data faster 36% more YCSB operations per second Principled Technologies is a registered trademark of Principled Technologies, Inc. All other product names are the trademarks of their respective owners. For additional information, review the report. Principled TechnologiesÂź Facts matter.ÂźPrincipled TechnologiesÂź Facts matter.Âź Read the report at http://facts.pt/e9lsh58 Get insight from document-based distributed MongoDB databases sooner and have CPU headroom for additional data analysis workloads October 2019 | 2