It’s only moneyData management with Oracle and Microsoft® SQL Server®
Wendy Harms and Kannan Mani#HPEDiscover – June 8, 2017
The modern, data-driven enterprise organization
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Achieves superior business outcomes
Data
Leverages all relevant dataintegrated across apps
Executives to line employees informed by all relevant data
Predictive analytics—proactiveanalytics apps on every platform
People Insights
Inhibitors to becoming a data-driven organizationDatabase management is the cornerstone of data-centric foundations
31"Delivering Data at the Speed of Business." Database Trends and Applications, April 2016.
Rigid, single-purpose infrastructures exist where mixed environments and workloads are needed
Legacy architectures and infrastructure can’t handle the volume, velocity or variety of today’s data
of decision makers lack complete information1
of decision makers don’t receive the required information on time151%
55%
of organizations use data for decision making all the time124%
Ideas Insights Data
Major factors hindering the use of data in decision making
Challenges in data management
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Aging infrastructure
Scalability
Availability
Management
Missed opportunities
Escalating complexity High costs Technology limitations
Database landscape
Data growth
Reduced performance
Software licensing
Empower business processingAlign infrastructure with demanding applications
Optimizing infrastructure
DL380 + Persistent Memory Virtualization
DL580 / SY680 Virtualization, consolidation
Superdome X / MC990 X Virtualization, consolidate all tiers and mixed landscapes with flexible hard partitions
3PAR StoreServ From midrange to high-end with multi-tenancy and built-in protection to consolidate mixed workloads
Business processing
− Compute-intensive OLTP workloads
− ERP, CRM, batch …
− Dynamic demand, growth
Criticality Mission-critical
Headroom/growth
Users/transactions
Database size Up to 1 – 3 TB Up to 10 TB Up to 30+ TB
Find the Right Mix
− Memory and I/O scalability for mixed transaction/analytics workloads
− Better OLTP per-core performance lowers compute, licensing needs
− Reduced management costs with a consolidated landscape
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Accelerate analyticsSelect the Right Mix of compute and storage
Optimizing infrastructure – performance
DL380 + Persistent Memory Boost I/O-bound performance
DL580 / SY680 Scale memory and compute
Superdome X / MC990 X Scale memory and compute, run OLAP and OLTP in conjunction for real-time intelligence
3PAR StoreServ Assure bandwidth, IOPS, and latency with QoS controls. Multi-controller and wide-striping for extreme performance.
Database size Up to 1 TB Up to 10 TB Up to 30+ TB
Speed Real-time
Criticality Mission-critical
Flexibility
Decision support
− Data-intensive workloads
− Data warehouse, BI, batch …
− Keep pace with speed of business
Find the Right Mix
− I/O capacity to support data transfers, data protection, and user volume
− Balanced scaling to meet workload demands
− In-memory supported for data-intensive operations
− Eliminate ETL delays for real-time analytics
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Quantify Oracle bottlenecks with Database Performance ProfilerObjective assessment tool
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Where’s the slowdown? Storage, servers or both,
DPP will show you
By eliminating cores, this customer could avoid $220K in Oracle licensing fees
DPP report provides insights and trends about your workload– Chart below generated on a 64-core server
– CPU utilization never goes over 12%
– Workload could be converted to a new, smaller server
– A new efficient ProLiant server, or a blade in a Superdome X, is effectively free
Fortune 1000 provider of semiconductor and integrated circuit devices
ON SemiconductorCustomer lessons for data management
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Phil ColonSr. Director of Global IS
Russell WhaleyDatabase Manager
One of the nation’s leading wholesale beverage alcohol distributors
Republic National Distributing CompanyCustomer lessons for data management
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Michael LindseySystems Architect
Meeting performance needs and cutting license costs
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Database migration?
Oracle is 11.7x the cost of SQL Server
For OLTP & DW scenario, price comparison is based on a server with 2 proc, 8 cores each
$3,745,000
11.7x more
Everything
built-in
$320KMobile BI & self-service BI
#1 TPC-H—DW
Industry leader—OLTP
In-DB advanced analytics
Built-in ETL
– Server optimization / consolidation
– Scale-up efficiency / Reduce cluster latency• Better per-core performance• Avoid Oracle RAC
– HPE Persistent Memory
– In-memory database technology
– Accelerate database performance with All-Flash storage• Reduce latency and improve back-end performance• Scale workload to hundreds of thousands of IOPs
Server optimization to control costs and complexityConsolidating servers and database instances
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0
50
100
150
200
250
300
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
($B)
Power and cooling
Server management and administration
New server
“The shift to low-capex scale-out x86 systems also had undesirable effects. The increased opex of managing the expanding x86-installed base has been taxing IT budgets, making it difficult to fund new initiatives that might have delivered revenue-generating innovations.”
1996 – 2018 Worldwide Spending: New Server, Power and Cooling, and Management and Administration
– Simplify database landscape and management
– Consolidate licensing– Potentially Increase utilization of Database/App
licenses (Depends on degree of consolidation)
– Reduce hardware costs > 50%– Consolidate servers based on workload, avoid
“Server Sprawl” (Depends on the environment)
– Lower hardware/software support costs
– IDC: Over 35% in savings from consolidating to scale-up servers– Increase IT staff productivity– Better resource utilization (CPU, memory,
network)– Lower software licensing costs– Reduce energy consumption– Reduced IT infrastructure costs– Reduced end-user productivity losses
Server optimization, from scale-out to scale-upDrive up performance while you drive down license fees
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Eliminate cluster latency, Oracle RAC fees
For typical OLTP and mixed transaction/decision support database workloads, a scale-out cluster requires more cores than a scale-up server, to provide equivalent performance.
– Scale-up benefits– Support very large contiguous memory to accelerate in-memory databases – Offer good performance without significant tuning– Eliminates need for partitioning for scale – Easier to deploy and manage than scale-out – Higher hardware costs per node, but fewer nodes – Deliver redundancy/failover for highest levels of availability with just two nodes – Can be clustered for very large workloads
– Consider scale-out compute for– Better performance for select analytics workloads– Lower cost of initial and subsequent server hardware acquisition
– But offset by higher database licensing costs for medium to larger implementations and lower per node utilization
– Addition/removal of servers by partitioning compute at node level– Implementing rolling upgrades
$0
$6,000
$12,000
$18,000
Exadata Superdome X
Other
SoftwareSupport
HardwareSupport
Software
Hardware
38%lower TCO
3-year TCO model, figures in $K USD
Boosting performance with HPE Persistent MemoryHighest performing persistent memory in the market running at DRAM speeds1
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HPE NVDIMMsNew HPE Scalable Persistent Memory
Oracle + Persistent Memory
Reduction in database licensing costs using the fastest tier of storage on HPE servers2
Increased Oracle database throughput with HPE Persistent Memory as compared to 15K RPM SAS drives with only a 40% price increase3
More cost effective than SSDs3
SQL Server + Persistent Memory
In-memory compute Checkpoints and restores
HTAP – Real-Time AnalyticsTB-scale databases
OLTP + OLAP = HTAP
Up to 20x reduction in database recovery time preserving maximum uptime.Up to 27x faster checkpoint operations enabling significantly faster business operations
And much ... much … more
Big Data Service Providers Performance Tier Virtualization
Up to 3X
Up to 4X
Up to 50%
– Double the performance and half the latency using byte-addressable storage features in SQL Server 2016
– A single HPE NVDIMM doubles SQL Server OLTP performance.
– Gains ranged from 2-4 X depending on the baseline tested against
– Manage SQL Server 2016 performance outside of Persistent Memory with 3PAR AFA continuous data management
1,2,3 Substantiation for quantifiable benefits in speaker notes
HTAP
In-memory database for real-time business insightsWhen the database is loaded in system memory, it’s lightning fast
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Column-based in-memory database
Row-based in-memory database
OLTP Transaction OLAP Analytics
SQL Server in-memory Accelerate insights and transactions
Over 100x query speed and significant data compression withIn-Memory ColumnStore
Faster TransactionsIn-memory OLTP
Up to 30x faster transaction processing with In-Memory OLTP
Faster QueriesIn-memory data warehouse
100% cloud-ready Server on demand QoS (HA & DR) Security Support
One-stop solution for all of your enterprise needs
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– The entire HPE server product line is designed to be cloud-enabled.
– Whether you stay on-premise or move to a hybrid cloud, your HPE server is ready.
– All of our platforms (DLs, BLs, Hyper Converged, MCS (Superdome/MC990x), Synergy and 3PAR/Nimble)
– Increase application/ DB Quality of Service
– Scale dynamically
– Simplified high availability and simple disaster recovery
– Next generation of servers are more secured with HPE iLO
– Complete isolation between Production and Test/Dev systems
– Protects databases and applications against network-based threats
– HPE Data Care support include Oracle and SQL Server support
– One vendor to work with for support
– HC380/Simplivity and Synergy Image streamer through HPE OneView
– Provision databases on demand
– Minutes to provision in production and in the dev/test environment
– Automated Migration from Physical to Virtual
ProLiant DL380 with Persistent Memory
Hyper Converged 380ProLiant DL580 and
Synergy SY680Integrity MC990 X Integrity Superdome X
Cost-effective 2-socket server; boost OLTP with Persistent
Memory
“VM vending machine,” consolidate multiple virtualized
databases
Scale-up 4-socket solutions for business processing, analytics, and
consolidation
Mission-critical x86 solutions for large enterprise applications and data center optimization; up to 48 TB memory for in-
memory database and analytics
4X faster OLTP on SQL Server 20161
Simple to deploy,ready for hybrid cloud
High availability, 2-4 sockets, 6 TB memory
Flexible modular scalability,from 4 to 32 sockets
2-16 sockets,99.999% availability
Industry’s broadest portfolio for enterprise database appsSelected compute – 100% cloud ready
1Up to a 4x increase in Microsoft SQL Server 2016 transaction performance with HPE ProLiant DL380 Gen9 and HPE Persistent Memory, as compared to SAS SSDs.
Substantiation: Internal HPE lab testing on an HPE ProLiant DL380 Gen9 E5 2600 v4 with HPE 8GB NVDIMM-N as compared to SAS SSDs, June 2016. 19
Industry’s broadest portfolio for enterprise database appsSelected storage, networking
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3PAR StoreServ 9450All Flash Array
3PAR StoreServ 20000All Flash Array
StoreOnce Cloudbank Arista 7300 & 7150Arista 7500R, 7280R
and 7020R
Lightning fast IO and built-in resiliency. One architecture from midsize to high-end, eliminating tier 1 distinctions, with “six-nines” availability,
75% data reduction for affordability.
Rapid app-integrated data recovery, transparent backup with
Recovery Manager Central
Ultra-low latency networking for enterprise-class database deployments. Leading solutions for high performance big data clusters,
100GbE cloud data centers, multi-rate uplinks.
2 million IOPS,6PB RAW
3.7 million IOPS,228 SSDs per rack
Use any application,leverage any cloud
SSD options,large forwarding tables
FlexRoute routing solutions;manage by CloudVision
HPE Data Management Reference Architectures
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– HPE Reference Configuration for Microsoft SQL Server 2016 on HPE Synergy composable infrastructure
– HPE Reference Architecture for Oracle 12c license savings with HPE 3PAR StoreServ All Flash and ProLiant DL380 Gen9
– HPE Reference Architecture for deploying Oracle 12c with HPE Synergy Image Streamer
– HPE Reference Architecture for HPE ProLiant DL580 Gen9 and HPE 3PAR StoreServ 8450: Consolidating multiple Oracle databases into a single instance Oracle database
– Improving Oracle Database performance with HPE Persistent Memory on HPE ProLiant DL380 Gen9
– HPE Reference Architecture for Microsoft SQL Server 2016 Operational Analytics on the HPE ProLiant DL580 Gen9
– HPE Reference Architecture for Microsoft SQL Server 2014 on HPE 3PAR Storage with Disaster Recovery
Check out all Data Management Reference Architectures www.hpe.com/info/dm-RA