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“This presentation is for informational purposes only and may not be incorporated into a contract or agreement.”
Agenda
• The Oracle Grid
• Customer Business Requirements
• Product Overview
• Customer Snapshots & Case Studies
• Engaging Your Customers
The Oracle Grid
Oracle Grid Computing
• Highest quality of
service
• Lowest Cost
Application Server Clusters
• Easiest to Manage
• Storage, Data &
Applications flexibility
IT to handle
Database Clusters • Common Business
Processes
• Realtime applications
• Data Warehousing
Networked Storage
Oracle In-Memory Database Fit within
the Oracle Technology Stack
Combine Oracle In-Memory Database in the middle tier with
RAC in the database tier
Application
Servers
Flight & Crew HR Supply Financials
Databases Scheduling Chain Oracle
RAC
Storage
Customer Business
Requirements
Trends Driving Real-Time data
• Convergence of Computing and Communications
• Wireless and broadband connections are everywhere Ubiquitous
Wireless
• Telephony and IT services are merging
• Examples: Voice over IP, push-to-talk, location-based
services, smartphones Ultra-Fast
Backbones
• Rich content, multi-service applications are the future
• Move to Service-Oriented Architectures Voice over IP
• Services dynamically assembled into “composite” applications
• Mid-tier caching / data management a critical success factor
• The Rise of the Real-Time Enterprise Service-Oriented
Architectures
• Business Activity Monitoring (BAM) = “Sense and Respond”
• Business Process Mgmt (BPM) / Workflow
Business
• Emergence of Commodity 64-Bit Systems Optimization
• AMD Opteron, Intel EM64T
• Large in-memory databases are inexpensive, practical, and
expected 64-bit Mainstream
Real-Time World
Real-Time Infrastructure Software
Instantly Responsive Highly Scalable Continuously Available
Oracle In-Memory Database provides real-time infrastructure software for
managing events, transactions and data within performance-critical
applications.
Sample Applications Powered by TimesTen Today
Real-Time Billing Next-Gen Call Processing Airline Operations
Mobile Push-to-Talk Security Trading Systems Revenue Assurance
Business Process Mgmt Business Activity Monitoring Enterprise Call Centers
Network & QOS Mgmt Customer Self-Service Business Optimization
The Business Case for Real Time
Increased Revenue Lower Costs
Retain, Grow Existing Accounts Streamlined Operations
Attract New Customers Increased IT Productivity
Faster Response Real-Time Activity Monitoring
Leads to Repeat Business Avoids Costly Surprises & Delays
With Higher Customer
Satisfaction Shorter Call Times
Reduce Call Center / CSR Staffing
Real-Time Analytics
Creates Intelligent Cross-Selling Easy, Familiar Programming Standards
Speed Time to Market
Instant Access to More Data
Enables Innovative New Services Memory-Centric Computing
Fits With Existing Systems
Flexible Deployment Options
Increase the Usage Scenarios More with less
Less Hardware Needed
Product Overview
Oracle In-Memory Database*
A new database system ideal for mid-tier data management
in next-generation Enterprise architectures.
Presentation
Oracle IMDB offers: User Interface Tier
• Ultra-fast response
times
• Lightweight Enterprise Oracle Applications &
architecture Applications App Server
Middleware
Tier
• Caching for Oracle Oracle IMDB
10g data
• High availability for Oracle Database 10g / RAC Enterprise
mid-tier data Database
Tier
* Formerly TimesTen In-Memory Database
Dynamic Caches for “Hot” Data
COMPOSITE
APPLICATIONS
NEW CUSTOMER MOBILE DATA WEB MGMT
SIGN-UP SERVICES SELF-CARE DASHBOARD
MANAGEMENT & MONITORING
WORKFLOW
BUSINESS PROCESS MGMT Check- Event
“MIDDLE TIER”
points Capture
BUSINESS
PROCESS # 1
BUSINESS
PROCESS # 2
…. BUSINESS
PROCESS # N
BUSINESS Diagnostics
Session
SERVICES & Metrics
State
DATA
Premium Recent Reference Cross-Ref Transform
INTEGRATION Analytics
Customers Orders Data Maps Tables
EXISTING
SYSTEMS &
DATABASES
CUSTOMER FINANCIAL DATA PRODUCT
SYSTEMS SYSTEMS WAREHOUSE SYSTEMS
Real-Time Databases for Mgmt Data
COMPOSITE
APPLICATIONS
NEW CUSTOMER MOBILE DATA WEB MGMT
SIGN-UP SERVICES SELF-CARE DASHBOARD
MANAGEMENT & MONITORING
WORKFLOW
BUSINESS PROCESS MGMT Check- Event
“MIDDLE TIER”
points Capture
BUSINESS
PROCESS # 1
BUSINESS
PROCESS # 2
…. BUSINESS
PROCESS # N
BUSINESS Diagnostics
Session
SERVICES & Metrics
State
DATA
Premium Recent Reference Cross-Ref Transform
INTEGRATION Analytics
Customers Orders Data Maps Tables
EXISTING
SYSTEMS &
DATABASES
CUSTOMER FINANCIAL DATA PRODUCT
SYSTEMS SYSTEMS WAREHOUSE SYSTEMS
Customer Snapshots & Case
Studies
Case Study: A Hedge Fund
• To make a profitable trade, the customer must analyze a
combination of real-time ticker data and historic data from
an RDBMS
• The trade must happen before a competitor’s trade, or the
transaction is not profitable
• Sub-seconds matter – waiting even ½ second can take all
profitability out of a trade
• A security or commodity is available at a certain price only for a
very limited time
• Enterprise RDBMS was too slow in combining and
analyzing data in real time
• To speed up analysis, home-grown in-memory structures
were created
• This lacked SQL flexibility and functionality
• The code required high programmer expertise and was too
expensive to maintain
Hedge Fund: Unprofitable Architecture
Hedge-Fund Traders
• Only the first trade makes a … Should I
profit make this
trade?
• Customer could not analyze
data fast enough to make
the trade first
Model Model Model
• Real-time ticker data could #1 #2
Home-Grown #N
Real-time
Modeling of
not be combined with In-Memory Database
… Current
INFLEXIBLE
historic data fast enough Market
vs. History
• Enterprise RDBMS was not
fast enough
Real-time Market
• Home-grown in-memory Enterprise Data Updates
data structures lacked SQL RDBMS
functionality and were Historic TOO SLOW
Market
expensive to maintain Data
Proftable, Faster, Real-Time Decisions
Hedge-Fund Traders
• Oracle In-Memory Database
provides a flexible SQL …
interface allows for easy
aggregations of data
• Combining real-time ticker
Model Model Model
data with historic data is #1 #2 #N
Real-time
Modeling of
FAST and EASY
… Current
• Analysis of market data in Market
vs. History
sub-seconds, not minutes
• The customer can make the Real-time Market Data Updates
trade first, before their
competitors Historic Enterprise
• Therefore, they make a profit On-demand load Market RDBMS
of selected data Data
… and their competitor loses!
Case Study: Hosted CRM System
• 10,000s of simultaneous users
• System must serve personalized, dynamically-
generated HTML pages to each user
• Less expensive competitive products provided a static, one-
size-fits-all solution
• Caching static HTML pages was not an option
• Looking up user preferences for every HTML page
overwhelmed the Oracle RDBMS
• Database I/O demand was too high to give users adequate
response time
• Customer wanted to use JDBC, not a new or
proprietary caching API
Hosted CRM System: Unable to Provide
Personalized Pages for Customers
• 10,000s of simultaneous users Worldwide Corporate
Application
Subscribers
• Static HTML pages lacked Servers
personalization
• Users, particularly sales reps, Home-Grown Caching in Java
SLOW, INFLEXIBLE,
wanted to see their information EXPENSIVE TO MAINTAIN
in their way
• Database lookups for every
generated HTML page Too much
overwhelmed the Oracle server Database I/O
• Home-grown Java caching
slowed down the system and
did not have high availability
Oracle
Higher Customer Satisfaction
through Personalization Dynamic
• User preferences are loaded Personalization
from Oracle RAC into Oracle In-
Memory Database upon login Worldwide Corporate
Subscribers
• Preference information is now NA Application EMEA / APAC
looked up in Oracle In-Memory Servers Application Servers
Database
• HA through replication
• One API for both databases Load Balancer
JDBC Load Balancer
(JDBC)
• Fast response time means a 4-CPU
Servers,
better user experience Linux,
2 GB
• Users now see personalized databases Standby Active Active Standby
pages suited to their needs
• User experience is now Master Master
noticeably better than their Database Database
competitors Oracle
Case Study: Converged Telecom Platform
• Convergence of telecom and computing
• Telecom equipment is no longer circuit-switched … they use IP
packets, just like PCs and servers
• Wide range of user devices with incompatible networks
• Use WiFi for your laptop, hardwire ethernet for your PC, bluetooth for
your PDA, cell phone network for your phone, etc.
• New need for cross-network roaming capabilities
• A handheld device uses WiFi in the office, then automatically
switches to a wireless carrier network when you get into your car
• Converged platform significantly increases need for database
I/O
• Users must be authenticated, IP traffic must be switched, billing
occurs in real-time
• Requires microsecond response time and 1,000s of transactions per
second
• Conventional RDBMS is not designed for microsecond
response time
Converged Telecom Platform Roaming
Home Mobile Office
• The need for one system Disparate Access Networks
where a single handheld HTTP requests
2,000,000+ customers
device can roam Load Balancer
between WiFi, WiMAX,
cell phone networks, etc. Real Time Real Time Real Time
• Converged system Services Services Services
requires low latency Authentication
& Security
Authentication
& Security
Authentication
& Security
(microseconds) and high Call Control
Location
Call Control Call Control
Location Location
throughput (1000s of Client/Server In Memory
Client/Server Client/Server
transactions per sec, RDBMS Driver Data Layer
RDBMS Driver RDBMS Driver
read and write)
• Conventional RDBMS is RDBMS RDBMS
not designed for LATENCY =
microsecond response Missed Calls,
time Missed Packets
Fast Response and Unlimited Scalability
Home Mobile Office
• Automatic load of
Disparate Access Networks
customer data from HTTP requests
Oracle to Oracle In- Load Balancer
Memory Database using
Cache Connect for Real Time Real Time Real Time
Oracle Services Services Services
In Memory In Memory In Memory
• Bi-directional replication Data Layer Data Layer Data Layer
using Auto-Refresh
• Real-time services get CACHE CACHE CACHE
CONNECT CONNECT CONNECT
microsecond response
time
• Linear scalability as ORACLE ORACLE
Real-Time Service
Nodes are added
Manufacturing: Home-Grown
RF Device Sync
• Need to synchronize RF
device data with data from Data
Sync
manufacturing in Oracle
• Home-grown data sync is Home-Grown
Data Sync
inflexible: code must be re- Application
written for even small Home-Grown When it crashes,
Oracle Data Shop floor activity
changes Poller Is halted
• No HA: if the application
fails, the shop floor grinds ORACLE
to a halt Transactions
From Mfg
Systems
RF Device Synchronization for
Manufacturing
• Easy, flexible data
synchronization using SQL Data
• XLA API immediately sees all Sync
transactions in Oracle and sends
data to the RF devices XLA XLA …
• Automatic replication of Oracle Master Standby
transactions to the RF devices
Replication
via Cache Connect to Oracle and
CACHE CACHE
• Replication and failover if the CONNECT Failover CONNECT
synchronization system fails
• Plans for a larger Auto-Refresh
implementation, scaling to many ORACLE
Transactions
nodes (mated pairs) From Mfg
Systems
Enabling a Real-Time World
Over 1,500 companies worldwide use Oracle TimesTen
In Networks In Telecom On Wall Street In the Enterprise
Real-Time Billing Service Authorization Order Matching SOAs
Call Processing Revenue Assurance Risk Management Call Centers
Value Added Services Network & QOS Mgmt Real-Time Analytics Business Intelligence
Finding Opportunities in Your
Patch
Identifying The Business Case
Customers are impatient
Faster Systems Respond instantly and they’ll keep coming back
Drive More Revenue
Unleash the intelligence in your data
Create richer, more compelling interactions
1. Increased Customer Loyalty + Rev
Be proactive
2. Cross-Sell, Up-Sell + Rev Capture, analyze and use the data when it’s most
valuable to you and your customers
3. Real-Time BPM, BAM + Rev
Stand out from the crowd
4. New Services + Rev Applications previously impossible are now in reach
Flexible Software Put TimesTen to work quickly
Improves IT Productivity Start immediately and deploy early
1. Easy, Familiar Standards - Cost Power a wide variety of scenarios
Enable new, extend existing, embed, cache,
2. Many Deployment Options - Cost distribute – use TimesTen across the organization
3. Architected for Today - Cost Stay at the forefront
Service-Oriented Architectures (SOA), modular
THE BOTTOM LINE ++ Profit computing, and 64-bit systems are a natural fit with
TimesTen’s architecture
Summary
Oracle TimesTen
Summary
• Complements Oracle’s product set
• Enables real-time enterprises
• Drives revenue opportunity
• existing customers
• new prospects
• through partners
• Unique single vendor solution
“This presentation is for informational purposes only and may not be incorporated into a contract or agreement.”
