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1
Debbi Lyons
Sr. Product Marketing Manager
SQL Server
Microsoft
John McAbel
Sr. Product Manager
ISV Solutions on Cisco UCS
Cisco
Peter Plamondon
Director
Partner Ecosystems
SanDisk
SQLServer® 2016onCiscoUCSwithSanDisk® Flash–
WeDareYoutoFindaBetterPlaceforYourData
May 18, 2016
2
Forward Looking Statement
During our meeting today we will make forward-looking statements.
Any statement that refers to expectations, projections or other characterizations of future events or circumstances is a forward-looking
statement, including those relating to market growth, industry trends, future products, product performance and product capabilities. This
presentation also contains forward-looking statements attributed to third parties, which reflect their projections as of the date of issuance.
Actual results may differ materially from those expressed in these forward-looking statements due to a number of risks and uncertainties,
including the factors detailed under the caption “Risk Factors” and elsewhere in the documents we file from time to time with the SEC, including
our annual and quarterly reports.
We undertake no obligation to update these forward-looking statements, which speak only as of the date hereof or as of the date of issuance by
a third party, as the case may be.
of issuance by a third party, as the case may be.
3
Agenda
 Enterprise Data Platform Concerns
 Addressing the Concerns with SQL Server 2016
 Changing the Game with SanDisk Flash
 The Perfect Platform and Why – Cisco UCS
 Putting it All Together – A Customer Case Study
4
5
Enterprise Data Platform Concerns
 Optimizing Application and Data Performance
 High Availability and Disaster Recovery
 Data Driven Insights and Security
 IT Agility with Policy Enforcement
 Lower Total Cost of Ownership
6
7
0100101010110
SQL Server
OLTP
SQL Server
data warehouse
ETL
In-memory
ColumnStore
In-memory
OLTP
Real-time fraud
detection
Fraud detected
2-24
hrs Up to 30x faster transactions
with in-memory OLTP
Queries from minutes to
seconds
Real-time
operational analytics
NEW
Real-time performance
In-memory built in
8
UCS performance
Top 5 results in 1 TB, 3TB TPC-H
workload
Unparalleled scalability
with Windows Server 2016
12 TB of memory WS 2016 max cores
#1 SAP performance
2-tier 16-processor SAP benchmark
on Superdome X + SQL Server
4X transactions
Plus 30X performance from in-
memory OLTP
As of 04/06/2015 http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster&version=2%&currencyID=0
#1 Price/performance with Massive Scale
9
Enhanced AlwaysOn
Easy setup of on-premises
and hybrid cloud HA and
DR
Load balancing of readable
secondaries
Fast failover on-premises
or to cloud35%
Dramatically simplify HA and DR
>35% operational efficiencies with hybrid cloud
10
dbo.Patients
Philip Wenger
Name
243-24-9812
SSN
USA
Country
Denny Usher 198-33-0987 USA
Alice Hodge 123-82-1095 USA
dbo.Patients
Philip Wenger
Name
1x7fg655se2e
SSN
USA
Denny Usher 0x7ff654ae6d USA
Alice Hodge 0y8fj754ea2c USA
Country
Denny Usher
Name
Result set
Philip Wenger
Name
1x7fg655se2e
SSN
USA
Country
Denny Usher 0x7ff654ae6d USA
Alice Hodge 0y8fj754ea2c USA
dbo.Patients
SQL Server
ciphertext
Query
Protect your data at rest and in motion
without impacting database performance
TrustedApps
SELECT Name FROM
Patients WHERE SSN=@SSN
@SSN='198-33-0987'
Result set
Denny Usher
Name
SELECT Name FROM
Patients WHERE SSN=@SSN
@SSN=0x7ff654ae6d
Column
Encryption
Key
Enhanced
ADO.NET
Library
Column
Master
Key
Client side
Always Encrypted NEW*
11
On all mobile devicesLightning fast queries and reports
Reports in minutes, not days
500 TB data saved
Windows iOS Android HTML5
End-to-end mobile BI on any device
In-memory built in
>100x faster queries
Massive data compression
Mobile BI built in NEW*
Online and offline access NEW*
Rich visualizations using Excel 2016 NEW*
12
PolyBase NEW*
T-SQL query
SQL Server Hadoop
Quote:
************************
**********************
*********************
**********************
***********************
$658.39
Denny Usher
Name
11/13/58
DOB
WA
State
Gina Burch 04/29/76 ME
Manage structured and
unstructured data
Simple T-SQL to query
Hadoop data (HDFS) NEW*
JSON data type
now supported NEW*
Remove the complexity of big data
T-SQL over Hadoop
13
Data Scientist
Interact directly with data
Open source R
built in to SQL Server
Data Developer/DBA
Manage data and
analytics together
Example solutions
• Sales forecasting
• Warehouse efficiency
• Predictive maintenance
Extensibilit
y
?
R
R Integration
Relational data
Analytic Library
T-SQL interface
010010
100100
010101
New R scripts
010010
100100
010101
010010
100100
010101
010010
100100
010101
• Credit risk protection
010010
100100
010101
Microsoft Azure Marketplace
Real-time operational
analytics NEW*
without moving the data
R + In-memory
Open Source R with
in-memory and
massive scale NEW*
multi-threading and
massive parallel
processing
In-database Advanced Analytics
No need to move the data
14
SQL Server 2016: everything built in
The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product, or service depicted in its
research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all
warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Consistent experience from on-premises to cloud
Microsoft Tableau Oracle
$120
$480
$2,230
Self-service BI per user
In-memoryacrossall workloads
TPC-H non-clustered 10 TB
#2 #1 #3
Oracle
is #4
SQL Server
SQL Server
SQL Server
built-
in
built-
in
built-
in
End-to-end mobile
BI on any device
built-
in
built-
in
0 1
4
0 0
3
34
29
22
15
5
22
6
43
20
69
18
49
3
0
10
20
30
40
50
60
70
80
2010 2011 2012 2013 2014 2015
SQL Server Oracle MySQL2 SAP HANA
TPC-H non-clustered results as of 04/06/15, 5/04/15, 4/15/14 and 11/25/13, respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster
at massive scale
15
Industry leading TCO
Built-in with SQL Server vs.
expensive add-ons with Oracle
Complete mobile BI
In-memory
End-to-end security
Advanced Analytics
built-in
built-in
built-in
built-in
$320K
SQL Server 2016
BUSINESS INTELLIGENCE
DATA WAREHOUSING
OLTP
ETL 11.7x
more
$640,000$803,000$1,272,000$3,433,000$3,745,000
Everything
built-inMOBILE BI & SELF-SERVICE BI
#1 TPC-H—DW
INDUSTRY LEADER—OLTP
BUILT-IN ETL
R SERVERIN-DB ADVANCED ANALYTICS
16
17
Enterprise-Proven Flash Performance
4XFasterIn-MemoryOLTPwithSanDisk
18
Enterprise-Proven Flash Performance
19
SQL Server 2016 Lights Up with SanDisk Flash
20
SanDisk Flash + SQL Server 2016 + Cisco
21
22
XML API
STANDARD
API’S
Cisco UCS 6296 XP
Fabric Extenders
(I/O modules)
Industry
Standard APIs
Cisco UCS – A Fresh Architecture
Blade Form Factor
Rack Form
FABRIC INTERCONNECTSUCS Manager
COMPUTE
23
Cisco UCS = Reduced Complexity Increased Flexibility
• Embed management
• Remove unnecessary:
Switches
Adapters
Management modules
10GbE unified fabric
• Power and cooling
1/3rd less infrastructure
Lower power
• Built for virtualisation
Processor density
VM/host ratio
I/O improvement
Extended memory
SAN
LAN
MGMT
SAN
LAN
MGMT
Multiple Ethernet
Connections
Multiple
SAN Connections
Separate Remote
Management
per Chassis
Multiple Management
Modules
Additional
LAN and SAN
Connections
Additional
Management
Connections
Additional
Management
Connections
Additional
LAN and SAN
Connections
24
Cisco UCS: Driving Business Outcomes
Proven value and over 48,000 customers world wide
“We’re able to offer leading-edge
solutions to our customers and
continue to expand our business.”
Reduction in
Provisioning
Times
84%
Reduction of
Management
Costs
61%
Reduction of
Power and
Cooling Costs
54%
Cabling Reduction
77%
World-record
Performance
Benchmarks
100
“Our Cisco Unified Computing
System decision is a game-
changer.”
Wes Wright
CIO, Seattle Children’s
Martin Breslin
Infrastructure Architect, SEI
“With Cisco UCS, we can adapt
much more quickly to user
demand.”
Mark Adams
VP Information Technology, HireRight
Source: Cisco UCS Changing the Economics of the Datacenter, Customer Case Studies, Cisco UCS Performance Benchmarks
25
Leading & Predictable Network Performance
Secure Data Movement
Independent Testing Results:
• http://www.miercom.com/cisco
• Microbursts cause as much as 60%
packet drop with competitor
• Nexus 5000 and Cisco UCS – better
able to handle Microbursts with
predictable low latency
0
20000
40000
60000
80000
1 10 20 40 60 80 100 120
Packets Compe tor Drop Nexus5K Drop
Packet Drop During Microbursts
Packets
Burst Size
Near Zero Data Loss, Transactions are SAFE!
26
UCS Service Profiles
Configuration Portability
SIM Card
Identity for a Phone
Service Profile
Identity for a Server
UCS Service Profile
Network Policy
Storage Policy
Server Policy
27
Service Profiles
Hardware State Abstraction
SQL Server
HTTP ServerERP Application
SQL Server Test SQL ServerTest SQL Server
ERP Application
Benefits For Microsoft Users
• Enables consistent setup, reduces service calls and downtime
• Add new instance in minutes, not hours or days
• Immediately test if workload is CPU or memory constrained
• Automatically load profile when new server added to system
• Easily meet cyclical business IT requirements
28
• Cisco UCS® C460 M4 Rack Server delivers the
best non-clustered TPC-H benchmark result,
3000-GB scale factor
• Cisco UCS is the first vendor to cross 1 million
Queries per hour with a 4-socket system.
• Beats Lenovo by 10%
• 20% Lower Price/Performance
• Cisco UCS continues tradition of performance
leadership with more than 110 industry world
records since the system was introduced.
Disclosure
The Transaction Processing Performance Council (TPC) is a nonprofit corporation founded to define transaction processing and database benchmarks, and to disseminate objective and verifiable
performance data to the industry. TPC membership includes major hardware and software companies. TPC-H, QphH, and $/QphH are trademarks of the Transaction Processing Performance Council
(TPC). The performance results described in this document are derived from detailed benchmark results available as of May 17, 2016, at http://www.tpc.org/tpch/default.asp
600,000 700,000 800,000 900,000 1,000,000 1,100,000
Composite Query-per-Hour Performance Metric (QphH@3000GB)
SQL Server 2016 Enterprise Edition
TPC- H 3TB Benchmark
1,071,018
QphH@3000GB
$0.6 USD
per QphH@3000GB
969,504
QphH@3000GB
$0.72 USD
per QphH@3000GB
Cisco UCS C460 M4 Rack Server
4 Intel Xeon Processors E7-8890 v3 CPUs
At 2.5 GHz (Posted May 16, 2016)
Lenovo System x3850 X6 Server
4 Intel Xeon Processors E7-8890 v3 CPUs
At 2.5 GHz (Posted March 9, 2016)
Cisco UCS Microsoft SQL Server 2016 Benchmark
Cisco UCS C460 M4 Rack Server Delivers Unsurpassed Performance on the TPC-H Benchmark
29
SQL Server 2014/2016 TPC-H Benchmark Comparison
SQL Server 2016 Provides Improves Efficiency and Performance
• Same server model and configuration tested
• Cisco UCS C460 M4 Rack Server
• (4) Intel Xeon Processors E7-8890 v3 2.5GHz 45MB
• 3TB Memory
• (4) UCS Rack PCIe Storage 1600GB SanDisk SX350
Medium Endurance
• SQL Server 2016 achieved 47% more
transactions
• SQL Server 2016 provides a 55% Lower
Price/Performance Ratio
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
SQL Server 2014 SQL Server 2016
CompositeQuery-per--Hour
PerformanceMetric
(QphH@3000GB)
TPC-H @3000GB Results C460 M4
Same Configuration
Posted
May 16, 2016
Posted
July 13, 2015
1,071,018
725,686
30
31
Cornerstone OnDemand
Game Changing Innovation for Unified Talent Management
“This project has been a game-changer, helping
us deliver high performance for our clients.”
Reza Seraji
IT Architect, Cornerstone OnDemand
Business Objectives
 Meet or exceed SLAs with high software availability
 Deliver faster performance to better serve nearly 24 million
users worldwide
 Standardize environments to manage equipment more
efficiently
Solutions
 Diversified storage in the data center with SanDisk PCIe
Storage in Cisco UCS servers
 Gained visibility throughout data center and centralized
management with Cisco UCS Manager
Business Outcomes
 Enhanced availability by reducing failovers from 10 minutes to 7
seconds
 Delivered new and better services due to 20% improvement in
application latency
 Completed migration 3 weeks ahead of schedule
32
33
Enterprise Data Platform Concerns
 Optimizing Application and Data Performance
 High Availability and Disaster Recovery
 Data Driven Insights and Security
 IT Agility with Policy Enforcement
 Lower Total Cost of Ownership
SQL Server 2016 + SanDisk flash + Cisco UCS Servers
= Mission Critical Intelligence
34
Interested in Learning More?
 4-touch email will follow over the next 8 weeks
– Blogs, White Papers, Case Study, and Video
– More details on how a SQL Server 2016, UCS, and SanDisk flash data
platform can transform your business
– Opt-out at any time
 Interested in POC?
– SQL Server 2016: https://www.microsoft.com/en-us/evalcenter/evaluate-sql-server-2016
– Contact us to see if you qualify for a no-cost, 45-day flash evaluation for
your UCS platform
• david.reeves@sandisk.com
35
© 2016 Western Digital Corporation or its affiliates. All rights reserved. SanDisk and the SanDisk logo are trademarks of Western Digital Corporation or its affiliates, registered in the U.S. and other countries.
InfiniFlash, and Fusion ioMemory are trademarks of Western Digital Corporation or its affiliates. Other brand names mentioned herein are for identification purposes only and may be the trademark(s) of their
respective holder(s).

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SQL Server 2016 on Cisco UCS with SanDisk Flash

  • 1. 1 Debbi Lyons Sr. Product Marketing Manager SQL Server Microsoft John McAbel Sr. Product Manager ISV Solutions on Cisco UCS Cisco Peter Plamondon Director Partner Ecosystems SanDisk SQLServer® 2016onCiscoUCSwithSanDisk® Flash– WeDareYoutoFindaBetterPlaceforYourData May 18, 2016
  • 2. 2 Forward Looking Statement During our meeting today we will make forward-looking statements. Any statement that refers to expectations, projections or other characterizations of future events or circumstances is a forward-looking statement, including those relating to market growth, industry trends, future products, product performance and product capabilities. This presentation also contains forward-looking statements attributed to third parties, which reflect their projections as of the date of issuance. Actual results may differ materially from those expressed in these forward-looking statements due to a number of risks and uncertainties, including the factors detailed under the caption “Risk Factors” and elsewhere in the documents we file from time to time with the SEC, including our annual and quarterly reports. We undertake no obligation to update these forward-looking statements, which speak only as of the date hereof or as of the date of issuance by a third party, as the case may be. of issuance by a third party, as the case may be.
  • 3. 3 Agenda  Enterprise Data Platform Concerns  Addressing the Concerns with SQL Server 2016  Changing the Game with SanDisk Flash  The Perfect Platform and Why – Cisco UCS  Putting it All Together – A Customer Case Study
  • 4. 4
  • 5. 5 Enterprise Data Platform Concerns  Optimizing Application and Data Performance  High Availability and Disaster Recovery  Data Driven Insights and Security  IT Agility with Policy Enforcement  Lower Total Cost of Ownership
  • 6. 6
  • 7. 7 0100101010110 SQL Server OLTP SQL Server data warehouse ETL In-memory ColumnStore In-memory OLTP Real-time fraud detection Fraud detected 2-24 hrs Up to 30x faster transactions with in-memory OLTP Queries from minutes to seconds Real-time operational analytics NEW Real-time performance In-memory built in
  • 8. 8 UCS performance Top 5 results in 1 TB, 3TB TPC-H workload Unparalleled scalability with Windows Server 2016 12 TB of memory WS 2016 max cores #1 SAP performance 2-tier 16-processor SAP benchmark on Superdome X + SQL Server 4X transactions Plus 30X performance from in- memory OLTP As of 04/06/2015 http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster&version=2%&currencyID=0 #1 Price/performance with Massive Scale
  • 9. 9 Enhanced AlwaysOn Easy setup of on-premises and hybrid cloud HA and DR Load balancing of readable secondaries Fast failover on-premises or to cloud35% Dramatically simplify HA and DR >35% operational efficiencies with hybrid cloud
  • 10. 10 dbo.Patients Philip Wenger Name 243-24-9812 SSN USA Country Denny Usher 198-33-0987 USA Alice Hodge 123-82-1095 USA dbo.Patients Philip Wenger Name 1x7fg655se2e SSN USA Denny Usher 0x7ff654ae6d USA Alice Hodge 0y8fj754ea2c USA Country Denny Usher Name Result set Philip Wenger Name 1x7fg655se2e SSN USA Country Denny Usher 0x7ff654ae6d USA Alice Hodge 0y8fj754ea2c USA dbo.Patients SQL Server ciphertext Query Protect your data at rest and in motion without impacting database performance TrustedApps SELECT Name FROM Patients WHERE SSN=@SSN @SSN='198-33-0987' Result set Denny Usher Name SELECT Name FROM Patients WHERE SSN=@SSN @SSN=0x7ff654ae6d Column Encryption Key Enhanced ADO.NET Library Column Master Key Client side Always Encrypted NEW*
  • 11. 11 On all mobile devicesLightning fast queries and reports Reports in minutes, not days 500 TB data saved Windows iOS Android HTML5 End-to-end mobile BI on any device In-memory built in >100x faster queries Massive data compression Mobile BI built in NEW* Online and offline access NEW* Rich visualizations using Excel 2016 NEW*
  • 12. 12 PolyBase NEW* T-SQL query SQL Server Hadoop Quote: ************************ ********************** ********************* ********************** *********************** $658.39 Denny Usher Name 11/13/58 DOB WA State Gina Burch 04/29/76 ME Manage structured and unstructured data Simple T-SQL to query Hadoop data (HDFS) NEW* JSON data type now supported NEW* Remove the complexity of big data T-SQL over Hadoop
  • 13. 13 Data Scientist Interact directly with data Open source R built in to SQL Server Data Developer/DBA Manage data and analytics together Example solutions • Sales forecasting • Warehouse efficiency • Predictive maintenance Extensibilit y ? R R Integration Relational data Analytic Library T-SQL interface 010010 100100 010101 New R scripts 010010 100100 010101 010010 100100 010101 010010 100100 010101 • Credit risk protection 010010 100100 010101 Microsoft Azure Marketplace Real-time operational analytics NEW* without moving the data R + In-memory Open Source R with in-memory and massive scale NEW* multi-threading and massive parallel processing In-database Advanced Analytics No need to move the data
  • 14. 14 SQL Server 2016: everything built in The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Consistent experience from on-premises to cloud Microsoft Tableau Oracle $120 $480 $2,230 Self-service BI per user In-memoryacrossall workloads TPC-H non-clustered 10 TB #2 #1 #3 Oracle is #4 SQL Server SQL Server SQL Server built- in built- in built- in End-to-end mobile BI on any device built- in built- in 0 1 4 0 0 3 34 29 22 15 5 22 6 43 20 69 18 49 3 0 10 20 30 40 50 60 70 80 2010 2011 2012 2013 2014 2015 SQL Server Oracle MySQL2 SAP HANA TPC-H non-clustered results as of 04/06/15, 5/04/15, 4/15/14 and 11/25/13, respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster at massive scale
  • 15. 15 Industry leading TCO Built-in with SQL Server vs. expensive add-ons with Oracle Complete mobile BI In-memory End-to-end security Advanced Analytics built-in built-in built-in built-in $320K SQL Server 2016 BUSINESS INTELLIGENCE DATA WAREHOUSING OLTP ETL 11.7x more $640,000$803,000$1,272,000$3,433,000$3,745,000 Everything built-inMOBILE BI & SELF-SERVICE BI #1 TPC-H—DW INDUSTRY LEADER—OLTP BUILT-IN ETL R SERVERIN-DB ADVANCED ANALYTICS
  • 16. 16
  • 19. 19 SQL Server 2016 Lights Up with SanDisk Flash
  • 20. 20 SanDisk Flash + SQL Server 2016 + Cisco
  • 21. 21
  • 22. 22 XML API STANDARD API’S Cisco UCS 6296 XP Fabric Extenders (I/O modules) Industry Standard APIs Cisco UCS – A Fresh Architecture Blade Form Factor Rack Form FABRIC INTERCONNECTSUCS Manager COMPUTE
  • 23. 23 Cisco UCS = Reduced Complexity Increased Flexibility • Embed management • Remove unnecessary: Switches Adapters Management modules 10GbE unified fabric • Power and cooling 1/3rd less infrastructure Lower power • Built for virtualisation Processor density VM/host ratio I/O improvement Extended memory SAN LAN MGMT SAN LAN MGMT Multiple Ethernet Connections Multiple SAN Connections Separate Remote Management per Chassis Multiple Management Modules Additional LAN and SAN Connections Additional Management Connections Additional Management Connections Additional LAN and SAN Connections
  • 24. 24 Cisco UCS: Driving Business Outcomes Proven value and over 48,000 customers world wide “We’re able to offer leading-edge solutions to our customers and continue to expand our business.” Reduction in Provisioning Times 84% Reduction of Management Costs 61% Reduction of Power and Cooling Costs 54% Cabling Reduction 77% World-record Performance Benchmarks 100 “Our Cisco Unified Computing System decision is a game- changer.” Wes Wright CIO, Seattle Children’s Martin Breslin Infrastructure Architect, SEI “With Cisco UCS, we can adapt much more quickly to user demand.” Mark Adams VP Information Technology, HireRight Source: Cisco UCS Changing the Economics of the Datacenter, Customer Case Studies, Cisco UCS Performance Benchmarks
  • 25. 25 Leading & Predictable Network Performance Secure Data Movement Independent Testing Results: • http://www.miercom.com/cisco • Microbursts cause as much as 60% packet drop with competitor • Nexus 5000 and Cisco UCS – better able to handle Microbursts with predictable low latency 0 20000 40000 60000 80000 1 10 20 40 60 80 100 120 Packets Compe tor Drop Nexus5K Drop Packet Drop During Microbursts Packets Burst Size Near Zero Data Loss, Transactions are SAFE!
  • 26. 26 UCS Service Profiles Configuration Portability SIM Card Identity for a Phone Service Profile Identity for a Server UCS Service Profile Network Policy Storage Policy Server Policy
  • 27. 27 Service Profiles Hardware State Abstraction SQL Server HTTP ServerERP Application SQL Server Test SQL ServerTest SQL Server ERP Application Benefits For Microsoft Users • Enables consistent setup, reduces service calls and downtime • Add new instance in minutes, not hours or days • Immediately test if workload is CPU or memory constrained • Automatically load profile when new server added to system • Easily meet cyclical business IT requirements
  • 28. 28 • Cisco UCS® C460 M4 Rack Server delivers the best non-clustered TPC-H benchmark result, 3000-GB scale factor • Cisco UCS is the first vendor to cross 1 million Queries per hour with a 4-socket system. • Beats Lenovo by 10% • 20% Lower Price/Performance • Cisco UCS continues tradition of performance leadership with more than 110 industry world records since the system was introduced. Disclosure The Transaction Processing Performance Council (TPC) is a nonprofit corporation founded to define transaction processing and database benchmarks, and to disseminate objective and verifiable performance data to the industry. TPC membership includes major hardware and software companies. TPC-H, QphH, and $/QphH are trademarks of the Transaction Processing Performance Council (TPC). The performance results described in this document are derived from detailed benchmark results available as of May 17, 2016, at http://www.tpc.org/tpch/default.asp 600,000 700,000 800,000 900,000 1,000,000 1,100,000 Composite Query-per-Hour Performance Metric (QphH@3000GB) SQL Server 2016 Enterprise Edition TPC- H 3TB Benchmark 1,071,018 QphH@3000GB $0.6 USD per QphH@3000GB 969,504 QphH@3000GB $0.72 USD per QphH@3000GB Cisco UCS C460 M4 Rack Server 4 Intel Xeon Processors E7-8890 v3 CPUs At 2.5 GHz (Posted May 16, 2016) Lenovo System x3850 X6 Server 4 Intel Xeon Processors E7-8890 v3 CPUs At 2.5 GHz (Posted March 9, 2016) Cisco UCS Microsoft SQL Server 2016 Benchmark Cisco UCS C460 M4 Rack Server Delivers Unsurpassed Performance on the TPC-H Benchmark
  • 29. 29 SQL Server 2014/2016 TPC-H Benchmark Comparison SQL Server 2016 Provides Improves Efficiency and Performance • Same server model and configuration tested • Cisco UCS C460 M4 Rack Server • (4) Intel Xeon Processors E7-8890 v3 2.5GHz 45MB • 3TB Memory • (4) UCS Rack PCIe Storage 1600GB SanDisk SX350 Medium Endurance • SQL Server 2016 achieved 47% more transactions • SQL Server 2016 provides a 55% Lower Price/Performance Ratio 0 200,000 400,000 600,000 800,000 1,000,000 1,200,000 SQL Server 2014 SQL Server 2016 CompositeQuery-per--Hour PerformanceMetric (QphH@3000GB) TPC-H @3000GB Results C460 M4 Same Configuration Posted May 16, 2016 Posted July 13, 2015 1,071,018 725,686
  • 30. 30
  • 31. 31 Cornerstone OnDemand Game Changing Innovation for Unified Talent Management “This project has been a game-changer, helping us deliver high performance for our clients.” Reza Seraji IT Architect, Cornerstone OnDemand Business Objectives  Meet or exceed SLAs with high software availability  Deliver faster performance to better serve nearly 24 million users worldwide  Standardize environments to manage equipment more efficiently Solutions  Diversified storage in the data center with SanDisk PCIe Storage in Cisco UCS servers  Gained visibility throughout data center and centralized management with Cisco UCS Manager Business Outcomes  Enhanced availability by reducing failovers from 10 minutes to 7 seconds  Delivered new and better services due to 20% improvement in application latency  Completed migration 3 weeks ahead of schedule
  • 32. 32
  • 33. 33 Enterprise Data Platform Concerns  Optimizing Application and Data Performance  High Availability and Disaster Recovery  Data Driven Insights and Security  IT Agility with Policy Enforcement  Lower Total Cost of Ownership SQL Server 2016 + SanDisk flash + Cisco UCS Servers = Mission Critical Intelligence
  • 34. 34 Interested in Learning More?  4-touch email will follow over the next 8 weeks – Blogs, White Papers, Case Study, and Video – More details on how a SQL Server 2016, UCS, and SanDisk flash data platform can transform your business – Opt-out at any time  Interested in POC? – SQL Server 2016: https://www.microsoft.com/en-us/evalcenter/evaluate-sql-server-2016 – Contact us to see if you qualify for a no-cost, 45-day flash evaluation for your UCS platform • david.reeves@sandisk.com
  • 35. 35 © 2016 Western Digital Corporation or its affiliates. All rights reserved. SanDisk and the SanDisk logo are trademarks of Western Digital Corporation or its affiliates, registered in the U.S. and other countries. InfiniFlash, and Fusion ioMemory are trademarks of Western Digital Corporation or its affiliates. Other brand names mentioned herein are for identification purposes only and may be the trademark(s) of their respective holder(s).