Data Management Strategy - Oracle

Çetin Özbütün

Senior Vice President Oracle Database Server Technology

Data Management Strategy

Source: Gartner Critical Capabilities for Cloud DBMS for Operational Use Cases, Merv Adrian, Donald Feinberg, Rick Greenwald, Adam Ronthal, Henry Cook and Gartner Critical Capabilities for Cloud DBMS for Analytical Use Cases, Henry Cook, Donald Feinberg, Merv Adrian, Rick Greenwald, Adam Ronthal, November 2020

The Gartner documents are available upon request from Oracle. 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 of 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. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved

Oracle Autonomous Database placed first for all four Operational Use Cases and first or second for all four Analytical Use Cases in 2020 Gartner Critical Capabilities for Cloud DBMS Reports

Copyright © 2021, Oracle and/or its affiliates. All rights reserved.


Three Key Breakthroughs for Autonomous Database

True Cloud Elasticity

Broad Data Management

Platform

Fully Autonomous

ORACLE

AUTONOMOUS DATABASE

Initial Vision of Autonomous Database

No human labor means lower cost

GOAL - Remove need for systems/operational admin

No human error means better reliability and better security


Running on Autonomous Database

Oracle Warehouse Management: Snapshot for 2020

5 Billion packages

55% faster order processing speeds

50% more warehouse users

expanded into 10 new industries

with 100% reduction in manual database

administration

and 0 downtime


29 Regions Live, 9+ Planned; 6 Azure Interconnect Regions Oracle Cloud Infrastructure Global Footprint

SAN JO SE, CA

P H OENIX

CH I CAGO

ASH BURN

T O RONTO M O NTREAL

SANTIAGO

VI NHEDO SAO P AULO

NEWPORT AM ST ERDAM

FR ANKFURT

ZU RICH

LO NDON

SWEDEN

I T ALY FR ANCE

JEDDAH

I SR AEL

DU B AI

MU MBAI H Y DERABAD

SI NGAPORE

CH U NCHEON

SEO U L T O KYO O SAK A

JO H ANNESBURG

SY DNEY

MELBOURNE

Com mercial

Com mercial Planned

Government

Government Planned

Mi crosoft Interconnect Azure

SAU DI 2

U AE 2


Oracle Autonomous Database: Available On-Premises and In the Cloud

Public Cloud Cloud @ Customer Dedicated Region

Cloud @ Customer

Deployment Options




Broad Data Management Platform

Fully Autonomous

ORACLE

AUTONOMOUS DATABASE


Size to the exact number of OCPU’s and TB’s required

• Not constrained by fixed building blocks or ‘t-shirt’ sizes

• Simple incremental growth

Automatically scale for changing workloads

• Auto-scaling instantaneously adjusts CPU and IO resources based on

workload requirements

Shut off compute for idle systems

• Restart instantly

Fully Elastic: Pay for What you Use




Broad Data Management Platform

Fully Autonomous

ORACLE

AUTONOMOUS DATABASE


Run Single-Purpose Proprietary database for

each data type and workload

Oracle Strategy Amazon and Niche DB Vendors

Run Converged, Open, Oracle database for multiple data

types and workloads

Amazon Aurora

Amazon DocumentDB

Amazon DynamoDB

Amazon

Neptune Amazon Quantum Ledger Database

Amazon

RedShift

Amazon Timestream

Amazon

ElastiCache

Contrasting Database Architecture Strategies


Autonomous Database | Optimized by Workload

Autonomous

Transaction Processing

Data Warehouse,

Data Mart, Data Lake

Autonomous

Data Warehouse

Transactions,

Batch, Reporting

ORACLE AUTONOMOUS

DATABASE

Autonomous

JSON Database

Fast, Easy, Low-Cost

JSON Data

APEX Application

Development Service

Fast, Easy, Low-Cost

Low-Code AppDev

New New


0

10000

20000

30000

40000

50000

60000

70000

80000

YCSB-4M Documents

Faster than MongoDB and AWS DocumentDB on YCSB Benchmark

Comparing | JSON Performance in Oracle Database

Autonomous JSON Database with 8 OCPUs compared to: MongoDB Atlas on M60, AWS DocumentDB on R4.4xlarge

Source of MongoDB and AWS DocumentDB results:

https://www.mongodb.com/atlas-vs-amazon-documentdb/performance as of 8/12/2020

More details at https://www.oracle.com/autonomous-database/autonomous-json-database/

Oracle

MongoDB

AWS

Opera

tions p

er

Second

50% reads / 75% reads / 95% reads / 50% writes 25% writes 5% writes

0

10000

20000

30000

40000

50000

60000

70000

80000

YCSB-81M Documents

Opera

tions p

er

Second

50% reads / 75% reads / 95% reads / 50% writes 25% writes 5% writes

Oracle

MongoDB

AWS









https://www.oracle.com/autonomous-database/autonomous-json-database/







Goal:

• Help Data Analysts and Data Scientists to use Autonomous Database to more easily gain insights into their data

Solution:

• Extend Autonomous Database for:

• Data ingestion and transformations

• Business modelling and analysis

• Machine learning and automatic insights

Extend Autonomous Database to help more people get insights into their data

Autonomous Database automates almost all database administration

Autonomous Database does not automate tasks for Data Engineers, Data Analysts, or Data Scientists

✓


New Autonomous Database Architecture

Data

Sources

Visualization &

Development

Oracle ML Notebook

Oracle Analytics Cloud

3rd Party BI Tools

Applications

Databases

CSV {…}

Files

Automatic

Insights

Data

Transforms APEX: Data-Driven

AppDev

Machine

Learning

Business

Models

New

New

New

Graph

Application Express

Spreadsheets

IDEs

Data Lake

Streaming Services

GoldenGate

Enhanced

Enhanced


Data Management Strategy - Oracle

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