Highly Automated IT

Copyright © 2017, Oracle and/or its affiliates. All rights reserved.

Oracle Autonomous DatabaseandHighly Automated Cyber Security

Larry Ellison Chief Technology Officer

RobotsFight Data Theft


Safe Harbor StatementThe following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing and price of any features or functionality described for Oracle's products may change and remains at the sole discretion of Oracle Corporation. Fees apply for new Database product offerings. Statements in this presentation relating to Oracle’s future plans, expectations, beliefs, intentions and prospects are "forward-looking statements" and are subject to material risks and uncertainties. A detailed discussion of these factors and other risks that affect our business is contained in our SEC filings, including our most recent reports on Form 10-K and Form 10-Q, particularly under the heading "Risk Factors." Copies of these filings are available online from the SEC or by contacting Oracle Corporation’s Investor Relations Department at (650) 506-4073 or by clicking on SEC Filings on Oracle’s Investor Relations website at http://www.oracle.com/investor. All information set forth in this presentation is current as of October 1st, 2017. Oracle undertakes no duty to update any statement in light of new information or future events.

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• New Cyber Security Technology - Tuesday

– Automated Threat Detection and Immediate Remediation

• New Database Technology - Today

– Automated Database Can Instantly Patch Itself while Running

– No Delay Waiting for Human Process or Downtime Window

– Lots of Other Benefits from Database Automation

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Automation to Fight Data TheftAutomated Cyber Security & Automated Database Work Together


Based on a Technology

As Revolutionary As the Internet


Based on a Technology

As Revolutionary As the Internet

Machine Learning


Machine Learning (ML)

• Autonomy: “Self-Driving” cars

• Computer Vision: Facial Recognition

• New ML Applications: Autonomous Database & Automated Cyber Security

The Applications are Revolutionary

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Machine Learning

• Machine learning relies on large amounts of accurate training data

–Higher volumes of accurate data increases learning

–Increased learning/training means more accurate predictions

• Anomaly Detection: Separate normal from abnormal patterns in the data

–Detect a cancer cell from normal cells

–Detect the CFO logging on from a computer in the Ukraine

Computers Learn from Patterns in the Data and Make Predictions

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Huge Amounts of Computer Systems Data in Event Logs

• Lots of Event Logs

– Infrastructure logs: Network, Server, Storage, VM, OS

– Platform logs: Database, Java, Analytics, etc.

– Applications logs: ERP, CX, HCM, Custom, etc.

• Event Log Training Data Enables New Machine Learning Applications

– Security: Detect and connect anomalous events: Login from Ukraine and unique SQL

– Database: Classify normal query patterns and automatically tune database

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Enable New Database and Security Applications for Machine Learning


• Database Autonomy: Fully automated 100% “self-driving” database

• Automated Cyber Defense: Detect & block attacks in near real-time

• They Work Together:

–Discover attack: Real time ML log processing detects security anomaly in data

–Remediate: Database automatically patches itself while running

Lots of Other Benefits Come with Total Database Automation

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Database Autonomy & Highly Automated Cyber Security


Announcing Oracle 18c

World’s First 100% Self-Driving

Autonomous Database


• No Human Labor: Eliminate human labor to manage the database

• Database automatically provisions, upgrades, patches, tunes itself while running

– Automated real-time security patching with no downtime window required

• No Human Error: SLA Guarantees 99.995% reliability and availability

– Minimize costly planned plus unplanned downtime to less than 30 minutes a year

• No Human Performance Tuning: Consumes less compute and storage than at Amazon

– Lower labor costs is an even bigger savings.

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Oracle Autonomous Database 18c Total Automation Based on Machine Learning


OLTP

– 4x faster in-memory OLTP access

– 5x faster RAC for high contention OLTP

– 2x faster streaming ingest for IoT workloads

– Zero impact grid infrastructure patching

– PDB cloud provisioning automation

– NVRAM ready row store, column store, SQL

Analytics

– 2x faster in-memory column store

– 100x faster In-memory analytics for external data

– 100x faster approximate query processing

– Query and Load directly from Oracle Object Store

– Active Data Guard for data warehouse loads

– New machine learning algorithms

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Oracle Autonomous Database 18c Lots of New OLTP and Data Warehouses Features


• Fully Automated Database Provisioning and Management– Even for mission critical scale-out clusters with datacenter disaster protection

– User defines policies then system automatically manages itself

– Automatic provisioning, backup, upgrades, patching, tuning, etc., while running

– No human administration means no administrator errors

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Oracle Autonomous Database 18cNo Human Labor – No Human Error


• Fully Automated Performance Tuning– Automatic optimization: indexing, caching, statistics, parallelism, etc.

– Continuous tuning to adapt to data volume increases and data distribution changes

– Consumes less computer resources than human tuned system

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Oracle Autonomous Database 18c Continuous Adaptive Performance Tuning


• Fully Automated Hardware Resource Elasticity– Instantly expand/shrink compute and storage without downtime

–Minimizes cost by delaying resource allocation until time needed

– No overpaying for partially used fixed configurations

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Oracle Autonomous Database 18c Dynamic Elastic Hardware Allocation


- System Failure or Scaling - Exadata, RAC, ASM

- Regional Outage or DB Corruption - Active Data Guard

- Patches (Updates) - RAC Rolling Upgrade

- Major Release Upgrades - Transient Logical Standby

- Table/Index/Schema Changes - Online and Edition Based Redefinition

- User Error - Flashback transaction, table, or database

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Oracle Autonomous Database 18c Non-Stop Availability: Fault Tolerant plus On-line Recovery and Upgrades


• SLA Guarantees 99.995% Reliability and Availability

– Less than 30 minutes of downtime per year

– Includes both planned and unplanned downtime

– No exceptions in fine print: Up to 100x more reliable than Amazon

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Oracle Autonomous Database 18c Guaranteed 99.995% Reliability and Availability


Autonomous Database for Data WarehousesAvailable: December 2017

• Automated –Automatically provision, upgrade, patch, tune while running

–Eliminates human labor and human error

• Efficient–Minimize Hardware Resource Consumption

• Reliable–Guaranteed 99.995% availability

–Up to 100x better availability than Amazon

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Customer Data Center

Purchased

Customer Managed

Oracle Autonomous DatabaseExadata Cloud at Customer and Public Cloud

On-Premises

Customer Data Center

Subscription

Oracle Managed

Cloud at Customer

Oracle Cloud

Subscription

Oracle Managed

Public Cloud Service

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Introducing Database BYOL to PaaS PricingIncludes Full Database Autonomy plus all Features Customer has Licensed

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Oracle Public Cloud, Cloud@Customer BYOL PaaS PriceStorage

BYOL PaaS PriceCompute

Oracle Database Enterprise EditionStandard Infrastructure

$50/Terabyte $168/OCPU

Oracle Database Enterprise Edition Exadata Infrastructure

$148/Terabyte $280/OCPU

PaaS Discount of 30% with Monthly Dollar Volume CommitmentMinimum Configuration 1 OCPU plus 1 Terabyte: $300 per Month

BYOL EE Database Plus RAC, Multitenant, Active DataGuard for 99.995% Availability

Oracle Autonomous Database Runs on Exadata Infrastructure

Monthly Pay as you go Database PaaS Pricing


Oracle Autonomous Services for Every Database WorkloadMore Automation and Lower BYOL PaaS Prices: Middleware, Analytics…

• Autonomous Data Warehouse Cloud Service

• Autonomous OLTP Database Cloud Service

• Autonomous Express Database Cloud Service

• Autonomous NoSQL Database Cloud Service

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Autonomous Database for OLTPAvailable: June 2018

• Automated: upgrade, patch, tune… while running

– Handles OLTP and Mixed workloads

– Provision Mission Critical with High-Performance 99.995% availability configuration

– Provision Low Cost for non-critical workloads or test/dev with single server config

• Efficient: Consume fewer computer resources

– Running faster on Exadata infrastructure consumes less compute time

– Data Compression consumes less storage

– Instant scaling of compute or storage only when needed with no downtime

• Reliable: 99.995% Availability

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Autonomous NoSQL Database Cloud Service: CY 2018Sharded Key-Value for IoT, User Profiles, etc.

• Easy

– Fully-managed, configured for high availability/scalability

– Provision, load, and go

• Fast– Predictable low latency (single digit millisecond) access

– Leverages cluster of next-gen IaaS dense IO servers

• Elastic

– Instant scaling of throughput or storage with no downtime

* Expected CY 2018

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Database Professionals: Evolution of Skill SetProblem: More data management tasks than humans to do the work

Less time on Administration

• Less time on infrastructure

• Less time on patching, upgrades

• Less time on ensuring availability

• Less time on tuning

More time on Innovation

• More time on database design

• More time on data analytics

• More time on data policies

• More time on securing data

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SIX SHORT DEMOSOracle Autonomous Cloud Database

versus

Oracle Database on Amazon Cloud

andRedshift Database on Amazon Cloud


Amazon’s Best Oracle Database Cloud Service is Called RDS

• Not Automated –Manually upgrade, patch, tune…

–Expensive human labor, error prone human processes

–Requires repeated system downtime

• Not Efficient–High Hardware Resource Consumption

–Consumes more than double the compute and storage

• Not Reliable–Not Fault tolerant, no RAC

–No Data Guard for Regional Disaster Recovery

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Amazon 99+% Reliability/Availability Guarantee Not RealAmazon SLA excludes most sources of unplanned and planned downtime

• Amazon excludes downtime for adding compute and storage capacity

• Amazon excludes downtime for Amazon planned maintenance

• Amazon excludes downtime for database upgrades and patching

• Amazon excludes downtime for regional outages

• Amazon excludes downtime for software bugs

• And on and on and on….

https://aws.amazon.com/rds/sla/

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https://aws.amazon.com/rds/sla/


Demo Configurations and PricingReal Customer Workloads on Same Size Hardware Configurations

• Oracle Autonomous Database Cloud Configuration

– Compute: 16 OCPU’s on Exadata x6 not Exadata x7

– Pricing: Standard BYOL PaaS pricing at 30% standard published discount

• Oracle Database on Amazon Cloud Configuration– Compute: i3.16x large AWS’s largest high-IO server

– Pricing: Standard Amazon published pricing

• Amazon Redshift Database Configuration

– Compute: 8 x ds.xlarge nodes

– Pricing: Standard Amazon published pricing

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Demonstration Workloads: Real Data Warehouses from Four Different Customers

• Financial analytics• Market research analytics• Insurance analytics• Retail analytics

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DEMOs 1, 2, 3

Oracle Database on Oracle Cloud versus

Oracle Database on Amazon Cloud


Demo #1:Oracle Autonomous DatabaseversusOracle-on-AWS• Financial Analysis Workload

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Amazon5.75x More Expensive

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Demo #2: Oracle-on-AWS vs Oracle Autonomous Database Cloud• Retail Analysis Workload

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Demo #3: Oracle-on-AWS vs Oracle Autonomous Database Cloud• Insurance Analysis Workload

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• Efficient–Oracle on Amazon 5 to 8 Times Higher Cost than Oracle Autonomous DW

–Save Even More on Reduced Labor Costs

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DEMOs 4, 5, 6a-6b

Oracle Database on Oracle Cloud versus

Amazon Redshift on Amazon Cloud


Demo #4: AWS Redshift vs Oracle Autonomous Database Cloud• Financial Analysis Workload

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Amazon9x More Expensive

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Demo #5: AWS Redshift vs Oracle Autonomous Database Cloud• Retail Analysis Workload

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Demo #6a: AWS Redshift vs Oracle Autonomous Database Cloud (8 OCPU)• Market Research Analysis Workload

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Demo #6b: AWS Redshift vs Oracle Autonomous Database Cloud (16 OCPU)• Market Research Analysis Workload

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Demo 6b: Dynamic Elastic Scale-Up While Running

• Scaling Oracle DWCS from 8 OCPUs to 16 OCPUs is Elastic

– Scaling occurs instantly

– Performance of workload nearly doubles

– Cost of workload is same

• Scaling Redshift from 8 nodes to 16 nodes is not Elastic

– Long-running operation: requires full unload – reload of database

– Requires downtime• 8-node Redshift is converted to read-only

• Data copied to new 16-node Redshift

• 16-node Redshift is opened; 8-node Redshift is deleted

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Instant Elasticity: Grow to 16 OCPU online

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• Efficient–Amazon Redshift 9 to 15 Times Higher Cost than Oracle Autonomous DW

–Save Even More on Reduced Labor Costs

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Oracle Autonomous Database: Lower Labor CostsORACLE is Fully Automated – AWS Redshift is Manual

No tuning required• Easy: define tables, load data, run• Oracle automatically tunes:

• Automatic Compression• Automatic Caching• Automatic Indexing

Performance tuning required• Customers must choose distribution

keys and sort key for each table• Requires tuning expertise

No administration required Administration required

OracleAmazon

AWS

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Oracle Autonomous Database Consumes Fewer Resources Instant Resource Elasticity – AWS Redshift Not Elastic

Fully flexible: any combination of compute and storage

Only available for fixed hardware configurations

Instant scaling up or down of compute and storage• No downtime

Scaling a cluster requires a full rebuild of database• Downtime required

OracleAmazon

AWS

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Safe Harbor StatementThe preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing and price of any features or functionality described for Oracle's products may change and remains at the sole discretion of Oracle Corporation. Fees apply for new Database product offerings. Statements in this presentation relating to Oracle’s future plans, expectations, beliefs, intentions and prospects are "forward-looking statements" and are subject to material risks and uncertainties. A detailed discussion of these factors and other risks that affect our business is contained in our SEC filings, including our most recent reports on Form 10-K and Form 10-Q, particularly under the heading "Risk Factors." Copies of these filings are available online from the SEC or by contacting Oracle Corporation’s Investor Relations Department at (650) 506-4073 or by clicking on SEC Filings on Oracle’s Investor Relations website at http://www.oracle.com/investor. All information set forth in this presentation is current as of October 1st, 2017. Oracle undertakes no duty to update any statement in light of new information or future events.

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