Sharing some observations, facts & possible conclusions to find out “What’s Next?” in the area of high availability, scalability and the overall development of Oracle and other databases.

1. 2020 – A Decade of Change
Markus Michalewicz
Senior Director of Product Management
Oracle Database High Availability | Scalability | MAA
November 17, 2020
@KnownAsMarkus
www.linkedin.com/in/markusmichalewicz
www.slideshare.net/MarkusMichalewicz
Sharing some observations, facts & possible conclusions to find out “What’s Next?”

2. Safe harbor statement
The 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 pricing of any features or functionality described for Oracle’s products may change and remains at the
sole discretion of Oracle Corporation.
2 Copyright © 2020, Oracle and/or its affiliates

3. Safe harbor statement
The 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 pricing of any features or functionality described for Oracle’s products may change and remains at the
sole discretion of Oracle Corporation.
3 Copyright © 2020, Oracle and/or its affiliates
The following are my own opinions only.

4. Agenda
1 Some Observations
2 Data, Facts, Conclusions
3 What’s Next?
4 Summary
4 Copyright © 2020, Oracle and/or its affiliates

5. Agenda
1 Some Observations
2 Data, Facts, Conclusions
3 What’s Next?
4 Summary
5 Copyright © 2020, Oracle and/or its affiliates

6. Many Believe the IT Market is Constantly Innovating
Overall this seems to be correct …
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LevelofInnovation
number of available solutions
Network
computing
Internet
computing
Cloud
computing

7. The IT Market Develops in Waives / Cycles Forming an Upward Spiral
Example: ”centralization” and “de-centralization” waives (inaccuracies unintended)
7 Copyright © 2020, Oracle and/or its affiliates
Mainframe
centralized
Client / Server
de-centralized
(compared to
mainframe)
Network
computing
centralized
Internet
computing
de-centralized
Grid computing
“more centralized”
(e.g. HUBs)
Multi-Cloud
de-centralizedCloud computing

8. Other “Battles” that Move the Database Market and Decisions
8 Copyright © 2020, Oracle and/or its affiliates
Shared Nothing
vs.
Shared Disk
Cloud
vs.
On-premises

9. Agenda
1 Some Observations
2 Data, Facts, Conclusions
3 What’s Next?
4 Summary
9 Copyright © 2020, Oracle and/or its affiliates

10. More Innovation, More Choices & More Solutions
More is not always better…
https://hostingdata.co.uk/nosql-
database/
LIST OF NOSQL DATABASE
MANAGEMENT
SYSTEMS [currently >225]
10 Copyright © 2020, Oracle and/or its affiliates
Limited Choice
Rich Choice
✓

11. Market Data – Cloud
Source: IDC
11 Copyright © 2020, Oracle and/or its affiliates
IDC: Worldwide Public Cloud Infrastructure as a
Service 2019 Share Snapshot
IDC: Worldwide Software as a Service and Cloud
Software 2019 Share Snapshot
Source: IDC, 2020 Source: IDC, 2020

12. Market Data – Database + Cloud
It’s not about the infrastructure or the database…
12 Copyright © 2020, Oracle and/or its affiliates
IDC: Worldwide Software as a Service and Cloud
Software 2019 Share Snapshot
Source: IDC, 2020
IDC: Worldwide Relational Database Management
Systems Software 2018 Share Snapshot

13. It’s About the Data!
Reason: Data Gravity
https://whatis.techtarget.com/definition/data-gravity
Data gravity is the ability of bodies of data to attract
applications, services and other data. The force of gravity, in
this context, is manifested in the way software, services and
business logic are drawn to data relative to its mass (the
amount of data) and, as a result, are physically located closer
to the data. The larger the amount of data, the more
applications, services and other data will be attracted to it
and the more quickly they will be drawn.
Data gravity is a term coined by Dave McCrory in this blog
post: https://datagravitas.com/2010/12/07/data-gravity-in-
the-clouds/
13 Copyright © 2020, Oracle and/or its affiliates

14. Our mission is to help people
see data in new ways, discover insights,
unlock endless possibilities.

15. Agenda
1 Some Observations
2 Data, Facts, Conclusions
3 What’s Next?
4 Summary
15 Copyright © 2020, Oracle and/or its affiliates

16. Old “Battles” are Vanishing
The trend is to offer “both solutions” whenever possible
16 Copyright © 2020, Oracle and/or its affiliates
Cloud
On-premises
&
Shared Nothing
Shared Disk
&
&
&Avoid “Worst-of-
Weaknesses”

17. A New Status Quo
Cloud is here to stay.
• There will be a set of
public cloud vendors
• High Barriers to entry
(established vendors
have spent $$
millions already)
Vendors will offer
deployment choices:
• Shared Nothing
& Shared Disk
• IBM PureScale
(*October 2009)
• Multi-Attach on
Amazon Elastic Block
Store (Amazon EBS)
volumes.
• Oracle RAC & Oracle
Sharding
Vendors will offer
deployment choices:
• On-premises
& Cloud I
• Amazon Outposts
run AWS
infrastructure and
services on premises
• Google Anthos
GKE will provision
and manage the
underlying resources
for containerized
applications on-
premises, in Google
Cloud, and other
public clouds.
Vendors will offer
deployment choices:
• On-premises
& Cloud II
• Azure Stack
Build and run hybrid
apps across
datacenters, edge
locations, remote
offices, and the cloud
• Oracle
Cloud@Customer
brings Oracle’s public
cloud infrastructure,
fully managed cloud
services, and Oracle
Fusion SaaS
applications into your
data center.
17 Copyright © 2020, Oracle and/or its affiliates

18. Oracle Database – Deployment Choices
18 Copyright © 2020, Oracle and/or its affiliates
Most Manual Most Autonomous
DB installed on
commodity HW
on premises
DB installed on
Oracle Exadata
on premises
DB on Oracle
Cloud
Infrastructure
Oracle
Autonomous
Database
Database Cloud
Service
Exadata Cloud
Service
(or C@C)

19. SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use
2019 database trends:
• https://scalegrid.io/blog/20
19-database-trends-sql-vs-
nosql-top-databases-single-
vs-multiple-database-use/
• Survey report
• Asked hundreds
of developers,
engineers, software
architects, dev teams
& IT leaders
at DeveloperWeek
• Also refers to https://db-
engines.com/en/ranking
Most popular DBs
according to this survey:
Single Database vs. Multi-
Database Use according
to this survey:
Most Time-Consuming
Database Management
Task according to this
survey:
19 Copyright © 2020, Oracle and/or its affiliates
MySQL
38.9%
Single-DB’s
55.7%
Multi-DB’s
44.3%

20. 20 Copyright © 2020, Oracle and/or its affiliates
Single-DB’s
55.7%
Multi-DB’s
44.3%
Normal cycle? Requirement for
change?
Surveys / Market Trends may Predict the Next Cycle

21. Database-Related Developments
Converged Database Autonomous Database Data-Driven Application
Development
21 Copyright © 2020, Oracle and/or its affiliates
ORACLE
AUTONOMOUS
DATABASE

22. Use Cases are Converging
Converged Database
22 Copyright © 2020, Oracle and/or its affiliates
Phone calls, messaging, photos, etc. originally
required separate products
• Now they are features of Smartphones
Similarly, ML, JSON, Blockchain, etc. originally
required separate databases
• Now they are features of a Converged Database

23. Use Cases are Converging for Good Reasons
Developers innovate faster on a converged database
It is dramatically simpler for developers to invoke extended SQL to execute ML, graph, spatial,
blockchain, IoT, etc. in one converged database
Instead of implementing distributed execution and data movement across multiple fragmented
databases
23 Copyright © 2020, Oracle and/or its affiliates
EVENT
RPC
ETL
REPLICATION
DB LINKS
EVENT
RPC
ETL
REPLICATION
DB LINKS
EVENT
RPC
ETL
REPLICATION
DB LINKS
EVENT
RPC
ETL
REPLICATION
DB LINKS
GraphMLDoc Spatial Reporting

24. Single-Purpose Databases Spread with Business Demands
Contrasting Database Architecture Strategies
24 Copyright © 2020, Oracle and/or its affiliates
Run Single-Purpose Proprietary
database for each data type
and workload
Oracle StrategyAmazon 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

25. Oracle Autonomous Database Key Attributes
Goal: eliminate day-to-day, manual operational tasks
Self-Driving
Automates all database and
infrastructure management,
monitoring, tuning
Self-Securing
Protects from both
external attacks and
malicious internal users
Self-Repairing
Protects from all
downtime including
planned maintenance
Copyright © 2020, Oracle and/or its affiliates25

26. Too Late / Too Early / Right on Time / Spot On
Timing matters for the success of solutions
26 Copyright © 2020, Oracle and/or its affiliates
Network Computer was a diskless desktop
made by Oracle Corporation
from about 1996 to 2000
ASUS CHROMEBOX
Sold Today
Spot On

27. https://www.oracle.com/autonomous-database/autonomous-json-database
27 Copyright © 2020, Oracle and/or its affiliates

28. Complete and Integrated Analytics Warehouse
Data-Driven Outcomes Made Fast & Easy
28 Copyright © 2020, Oracle and/or its affiliates
Power
Innovation
Boost
Efficiency
Reduce
Risk
Data
Monetization
Dashboards
& Reports
Machine Learning
Models
Oracle Apps
Data Warehouse
AI Enabled
Devices
Augmented
Analytics
Data-Driven
Apps
Flexible Compute Flexible Storage
Azure
Interconnect
On-Prem
FastConnect
Refine & Integrate Persist & Process Analyze & Predict
• Disruption-free modernization to Autonomous
• Limitless predictions
• Self-service with governance
• Enterprise-grade with compelling price
Analytics
Data
Engineering
Data
Science
Analytic
Apps
Data
Lake
Data
Warehouse
Data
Mart
Any Data
Any Format
Deep Oracle
Apps &
Database
Integration
Files
Object Stores
Oracle
Data Cloud
Logs
Webclicks
Oracle On-Prem Apps
Fusion SaaS, NetSuite,
SAP, Salesforce, Workday
Media
Events
Streams
Oracle Database
SQL Server, Azure SQL, …
AWS Aurora, RDS, …

29. Oracle APEX: Data-Driven Low-Code Apps
Data-driven Application Development made easy with Oracle Database
29 Copyright © 2020, Oracle and/or its affiliates
• Oracle APEX Low-Code IDE automatically creates an App starting from a spreadsheet or a table
• Data-driven Development that is usable by dev professionals, or tech-savvy business users
• Deep integration with database eliminates the complexity of Middle-tiers, connection management, state
management, mapping database types to app types, scaling, and HA
• Create an App in hours – fastest time-to-value
• Easily iterate the App to match evolving business needs

30. Agenda
1 Some Observations
2 Data, Facts, Conclusions
3 What’s Next?
4 Summary
30 Copyright © 2020, Oracle and/or its affiliates

31. Summary
Observations made and possible trends discovered
Converged Database
part of the next cycle
Autonomous Database Data-Driven Application
Development
trending
31 Copyright © 2020, Oracle and/or its affiliates
Cloud is here to stay.
• There will be a set of
public cloud vendors
Spot On

32. 32 Copyright © 2020, Oracle and/or its affiliates
Thank you
Markus Michalewicz (Markus.Michalewicz@oracle.com)
Senior Director of Database Product Management
@KnownAsMarkus
www.linkedin.com/in/markusmichalewicz
www.slideshare.net/MarkusMichalewicz