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SAP HANA’s Real Time Challenge to the Oracle Empire
Real-time In-Memory platform presents a groundbreaking approach

When the character Maverick from the movie Top Gun exclaimed, "I feel the need, the need for speed", you'd be forgiven for mistaking it for a sound bite from a CIO discussing their transactional databases. Whether it's a financial organization predicting share prices, a bank knowing whether it can approve a loan or a marketing organisation reaching consumers with a compelling promotional offer, the need to access, store, process and analyze data as quickly as possible is an imperative for any business looking to gain a competitive edge. Hence when in 2011, SAP announced their new in-memory platform HANA for enterprise applications everyone took note as they coined the advantage of real-time analytics. SAP HANA promised to not just make databases dramatically faster like traditional business warehouse accelerator systems but instead speed up the front end, enabling companies to run arbitrary, complex queries on billions of records in a matter of seconds as opposed to hours. The vendors of old legacy traditional databases were facing a major challenge, most notably the king of them all...Oracle.

The Birth and Emergence of Big Data
Back in the days of mainframe, you'd find the application and transactional data of reporting databases physically stored in the same system. This was due to applications, operating systems and databases being designed to maximize their hardware resources, which consequently meant you couldn't process transactions and process report simultaneously. The bottleneck here was cost, in that if you wanted to scale you needed another mainframe.

After the advent of client servers where applications could run on a centralized database server via multiple and cost effective servers, scalability was achieved by simply adding additional application servers. Regardless, of this a new bottleneck was quickly established with systems relying on a single database server and requests from ever increasing application servers that ended up causing I/O stagnation. This problem became exasperated with OLTP (online transaction processing), where report creation required the system to concurrently read multiple tables in the database. Added to this servers and processors kept getting faster while disks (despite the emergence of SSD) were quickly becoming the bottleneck to automated processes that were producing large amounts of data that concurrently resulted in more report requests.

The net effect was a downward spiral where the increase of users requiring an increase of reports from the databases meant an increase in huge amounts of data being requested from disks that simply weren't up to the job. When you then factored in the data proliferation of external users caused by the Internet and pressure inducing laws such as Sarbanes-Oxley, the demand to analyze even more data even quicker has reached fever point. With data and user volumes increasing by a factor of thousands compared to the I/O capability of databases, the transaction-based industry faced a challenge that required a dramatic shift and change.  Cue the 2011 emergence of SAP's HANA.

Real-Time In Memory Platform Presents a Groundbreaking Approach
One of the major advantages of SAP HANA's ability to run in real time is that it offers a non-requirement for data redundancy as it's built to run as a single database. With clusters of affordable and scalable servers, transactional and analytical data are run on the same database, hence eliminating different types of databases for different application needs. Oracle on the other hand has built an empire on exactly the opposite.

Oracle has thrived on a model where generally companies start with a simple database that's utilized for checking sales orders and ensuring product delivery to customers but as the business grows they need more databases with different and more demanding functions. Functions such as managing customer relationships, complex reporting and analysis drives a need for new databases that are separate from the actual business requiring data to be moved from one system to another. Eventually you have a sprawl of databases as existing ones are unable to handle the workloads making it almost impossible to track data movements yet alone attain real time updates. So while the Oracle marketing machine is also pitching the benefits of in-memory via its Exalytics appliance and in-memory database, TimesTen, Oracle are certainly in no rush to break this traditional model of database sprawl and the money-spinning licenses that come with it.

Looking closely at the Oracle Exalytics / TimesTen package, despite the hype, it merely is just an add-on product meaning that an end user will still need a license for the transactional database, another license for the data warehouse database and yet another license for TimesTen for Oracle Exalytics.

Moreover, the Oracle bolt-on approach serves to sell more of their hardware commodity and in some ways perversely justify their acquisition of SUN Microsystems, all at the expense of the customer. Due to the Exalytics approach continuing the traditional requirement for transactional data to be duplicated from the application to the warehouse and once again to Exalytics, the end user not only ends up with three copies of the data, they also have to have three levels of storage and servers. In contrast SAP HANA is designed to be a single database that runs both transactional applications and Business Warehouse deployments. Not only does SAP HANA's one copy of data replace the two or three required for Oracle it also eliminates the need for materialized views, redundant aggregates and indexes leaving a significantly reduced data footprint.

Comparing HANA to Oracle's TimesTen and Exalytics
As expected Oracle have already initiated their FUD team with bogus claims and untruths against HANA as well as even pushing their TimesTen as a like for like comparison. Where this is hugely flawed is that they fail to acknowledge or admit that SAP HANA is a completely groundbreaking design as opposed to a bolt-on approach.  With SAP HANA data is completely managed and accessed in RAM consequently doing away with the requirement of MOLAP, multiple indexes and other tuning features that Oracle pride themselves on.

Furthermore, despite the Oracle FUD, SAP HANA does indeed handle both unstructured and structured data, as well as utilise parallel queries for scaling out across server nodes. In this instance Oracle are trying hard to create the most confusion and subsequently detract the market from realizing that the TimesTen with Exalytics package still can't scale out beyond the 1TB RAM limit unlike SAP HANA where each container can store up to 500TB of data all executable at high speed.

With an aggressive TCO and ROI model compared to a traditional Oracle deployment, SAP HANA also proves a lot more cost effective. With pricing based on an incremental of 64GB RAM and the total amount of data held in memory, licenses are fully inclusive of production and test/development requirements as well as the necessary tools.

SAP HANA's Embracing of VMware
Furthermore with Oracle's belligerent stance towards VMware and the cost savings it brings to end users, SAP on the other hand has embraced it.  The recent announcement that SAP HANA is supporting VMware vSphere will provide them a vast competitive advantdge, as it will enable customers to provision instances of SAP HANA in minutes as VM templates, as well as gain benefits such as Dynamic Resource Scheduling and vSphere vMotion. By virtualizing SAP HANA with VMware, end users can quickly have several smaller HANA instances all sharing a single physical server leading to better utilization of existing resources. With the promise of certified preconfigured and optimised converged infrastructures such as the Vblock around the corner, SAP HANA appliances could be shipped with vSphere 5 and SAP HANA pre-installed within days, enabling rapid deployment for businesses.

The Business Benefits of Real-Time
With business and transactions being done in real time, SAP HANA ensures that the data and the analytics that come with them are also in real time. The process of manually polling data from multiple systems and sorting them through are inadequate in a time when businesses are facing unpredictable economic conditions and volatile demand and complex supply chains. The need is for real time metrics that are aligned to supply and demand where a retailers' shelves can accurately and immediately be stocked eliminating unnecessary inventory costs, lost sales opportunities and failed product launches. Being able to instantly analyze data at any level of granularity enables a business to quickly respond to these market insights and take decisive actions such as transferring inventory between distribution centers based on expected sales or altering the prices of promotions based on customer demand. Instead of waiting for processes that take hours, days or even weeks, SAP HANA's real time capabilities enable businesses to react in real time to incidents.

Ultimately SAP HANA is a revolutionary step forward that will empower organizations to focus more on the business and less on the infrastructure that supports them. With the promise of new applications being built by SAP to support real time decision making as well being able to run existing applications, SAP HANA presents the opportunity to not only transform a business but also the underlying technology that supports it.

About Archie Hendryx
SAN, NAS, Back Up / Recovery & Virtualisation Specialist.

Presentation Slides
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WebRTC Summit Silicon Valley All-Star Speakers Include

MATTHIEU
Octoblu

MAHADEV
Cisco

MCCARTHY
Bsquare

FELICIANO
AMDG

PAUL
VenueNext

SMITH
Eviot

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goTraverse

GETTENS
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ReadyTalk

HERBERTS
Cityzen Data

REITBAUER
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WILLIAM-
SON

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SCHMARZO
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WOOD
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VARAN-
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GE

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METRIC
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MONTES
Iced

ARIOLA
Parasoft

HOLT
Daitan

CUNNING-
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ReadyTalk

BEDRO-
SIAN

Cypress

NAMIE
Cisco

NAKA-
GAWA

Transparent
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SHIBATA
Transparent
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BOYD
Neo4j

WARD
DWE

MILLER
Covisint

EVAVOLD
Covisint

MEINER
Oracle

MEEHAN
Esri

WITECK
Citrix

LIANG
Rancher Labs

BUTLER
Tego

ROWE
IBM Cloud

SKILLERN
Intel

SMITH
Numerex
WebRTC Summit New York All-Star Speakers Include

CLELAND
HGST

VASILIOU
Catchpoint

WALLGREN
Electric Cloud

HINCH-
CLIFFE

7Summits

DE SOUZA
Cisco

RANDALL
Gartner

ARM-
STRONG

AppNeta

SMALL-
TREE

Cazena

MCCARTHY
Bsquare

DELOACH
Infobright

QUINT
Ontegrity

MALAU-
CHLAN

Buddy Platform

PALIOTTA
Vector

MITRA
Cognizant

KOCHER
Grey Heron

PAPDO
POULOS

Cloud9

HARLAN
Two Bulls

GOLO
SHUBIN

Bit6

PROIETTI
Location
Smart

MARTIN
nfrastructure

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Everbridge

MARSH
Blue Pillar

PARKS
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Plantronics

HOFFMAN
EastBanc

WATSON
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OFF

Unigma

SHAN
CTS

MATTELA
Redpine

GILLEN
Spark
Coginition

SOLT
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ARDO

GE Digital

ROMAN-
SKY

TrustPoint

BEAMER
GoTransverse

LESTER
LogMeIn

PONO
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Google

SINGH
Sencha

CALKINS
Amadeus

KLEIN
Rachio

HOASIN
Aeris

SARKARIA
PHEMI

SPROULE
Metavine

SNELL
Intel

LEVINE
CytexOne

ALLEN
Freewave

MCCAL-
LUM

Falconstor

HYEDT
Seamless

WebRTC Summit Silicon Valley All-Star Speakers Include

SCHULZ
Luxoft

TAM-
BURINI

Autodesk

MCCARTHY
Bsquare

THURAI
SaneIoT

TURNER
Cloudian

ENDO
Intrepid

NAKAGAWA
Transparent

SHIBATA
Transparent

LEVANT-LEVI
testRTC

VARAN NATH
GE

COOPER
M2Mi

SENAY
Teletax

SKEEN
Vitria

KOCHER
Grey Heron

GREENE
PubNub

MAGUIRE
HP

MATTHIEU
Octoblu

STEINER-
JOVIC

AweSense

LYNN
AgilData

HEDGES
Cloudata

DUFOUR
Webroot

ROBERTS
Platform

JONES
Deep

PFEIFFER
NICTA

NIELSEN
Redis

PAOLAL-
ANTORIO

DataArchon

KAHN
Solgenia

LOPEZ
Kurento

KIM
MapR

BROMHEAD
Instaclustr

LEVINE
CytexOne

BONIFAZI
Solgenia

GORBA-
CHEV

Intelligent
Systems

THYKAT-
TIL

Navisite

TRELOAR
Bebaio

SIVARAMA-
KRISHNAN

Red Hat
Cloud Expo New York All-Star Speakers Included

DE SOUZA
Cisco

POTTER
SafeLogic

ROBINSON
CompTIA

WARUSA
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WSO2 Inc

MEINER
Oracle

CHOU
Microsoft

HARRISON
Tufin

BRUNOZZI
VMware

KIM
MapR

KANE
Dyn

SICULAR
Basho

TURNER
Cloudian

KUMAR
Liaison

ADAMIAK
Liaison

KHAN
Solgenia

BONIFAZI
Solgenia

SUSSMAN
Coalfire

ISAACSON
RMS

LYNN
CodeFutures

HEABERLIN
Windstream

RAMA
MURTHY

Virtusa

BOSTOCK
IndependenceIT

DE MENO
CommVault

GRILLI
Adobe

WILLIAMS
Rancher Labs

CRISWELL
Alert Logic

COTY
Alert Logic

JACOBS
SingleHop

MARAVEI
Cisco

JACKSON
Softlayer

SINGH
IBM

HAZARD
Softlayer

GALLO
Softlayer

TAMASKAR
GENBAND

SUBRA
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Emcien

LEVESQUE
Windstream

IVANOV
StorPool

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BERG

Intellyx

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Soha

HATHAWAY
IBM Watson

TOLL
ProfitBricks

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Microsoft

BEARFIELD
Blue Box

HERITAGE
Akana

PILUSO
SIASMSP

HOLT
IBM Cloudant

SHAN
CTS

PICCIN-
INNI

EMC

BRON-
GERSMA

Modulus

PAIGE
CenturyLink

SABHIKHI
Cognitive Scale

MILLS
Green House Data

KATZEN
CenturyLink

SLOPER
CenturyLink

SRINIVAS
EMC

TALREJA
Cisco

GORBACHEV
Systems Services Inc.

COLLISON
Apcera

PRABHU
OpenCrowd

LYNN
CodeFutures

SWARTZ
Ericsson

MOSHENKO
CoreOS

BERMING-
HAM

SIOS

WILLIS
Stateless Networks

MURPHY
Gridstore

KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRY-
MPLE

EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
General Manager of Window Azure
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


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