Oracle Autonomous Database Strategy
Oracle Autonomous Database Strategy
Next Generation Mission-Critical Data Management in the Cloud
ORACLE WHITE PAPER
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DECEMB ER 2017
Disclaimer
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, and timing of any features or functionality described for Oracle’s products
remains at the sole discretion of Oracle.
Executive Overview
IT leaders must modernize enterprise computing to the cloud and do more with less. The migration
must improve protection from cyber-attacks without threatening the stability and availability of missioncritical workloads. To truly deliver transformational change, the cloud platform must include both
existing and new applications. Public cloud is a key component of the transformation, but migrating
the entire estate to the public cloud is usually not realistic. Cost savings and agility improvements
must be achieved immediately, not decades later. Oracle’s Autonomous Database uniquely enables
this transformation.
Oracle Autonomous Database combines the flexibility of cloud with the power of machine learning to
deliver data management as a service. It enables businesses to:
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Safely run mission-critical workloads using the most secure, available, performant, and proven
platform - Oracle Database on Exadata
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Migrate both new and existing OLTP or Analytics applications
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Deploy in both the Oracle Public Cloud and on Cloud at Customer in their own data centers,
providing the easiest and safest cloud migration and hybrid cloud enablement
•
Cut administration costs up to 80% with full automation of operations and tuning
•
Cut runtime costs up to 90% by billing only for resources needed at any given time
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Protect themselves from cyber-attacks and rogue employees by automatically encrypting all data
and automatically applying any needed security updates online
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Guarantee 99.995%1 uptime to ensure mission-critical applications are always available.
Downtime is limited to under 2.5 minutes per month, including maintenance
This document describes Oracle Autonomous Database strategy and roadmap. Some of the features
and functionality discussed may not appear in the initial release of the services.
1 The Oracle Autonomous Database architecture is designed to deliver an uptime SLA of 99.995%. As new cloud services based on this architecture
become available, Oracle will guarantee this SLA
ORACLE AUTONOMOUS DATABASE STRATEGY
The Near Impossible Task of Managing a Digital Business by Hand
IT leaders are caught in a seemingly impossible situation, as the business demands more real-time data and more
agility while IT budgets stay flat. They are facing multiple daunting challenges:
•
Transforming their existing estate to a Cloud-Computing model to do more with less and be more
agile. It is relatively straightforward to develop NEW applications using a cloud model, but using cloud
computing only for new applications will not achieve transformational results. To achieve substantial cost
savings and faster development, both existing and new applications must be moved to a cloud-computing
model. Top management is demanding tangible financial results from this transformation in months, not
decades.
•
Attacks from hostile nation-states from the outside and rogue employees from the inside. Cyber
security is an arms race. Historically, attacks came from lone-wolf hackers. Now companies have to
defend themselves against ultra-sophisticated nation states and large criminal gangs. A collection of
products that were custom-assembled over decades is going to be difficult, if not impossible, to secure
against such attackers. Even elite enterprise security teams are severely challenged by the intensity and
ingenuity of today’s attacks. To survive, IT must enlist sophisticated partners, and adopt technologies that
inherently deliver much higher levels of security than in the past.
•
Mission-critical systems in the cloud must deliver guaranteed uptime. Downtime for critical
applications causes severe financial and reputational damage. IT leaders must be sure that the cloud
architecture they adopt handles every threat to availability, from software and hardware failures and
maintenance to natural disasters.
IT Leaders Need a New Approach to Data Management Itself
Incremental changes around the edges aren’t enough to answer these challenges. Even moving the entire
enterprise computing estate to the Cloud is only a partial solution because this just shifts many of the same
management difficulties to a different infrastructure.
Instead, IT leaders need to strike at the heart of the matter – a reinvention of data management for a cloud-native
world. They need data management that can manage on its own the core activities of performance, security, and
availability. This new approach to data management has to make data appear as if it were stored in a shape and
made available at a scale ideal for the current workload, without having to predict it ahead of time. To deliver data
management as a service like this, IT leaders need a new kind of database.
The Oracle Autonomous Database
Like an autonomous car, the Oracle Autonomous Database (Autonomous Database) provides a level of
performance and reliability manually managed databases can’t deliver. Compared to a manually managed
database, the Autonomous Database costs less to run, performs better, is more available, and eliminates human
error.
Self-Driving
You tell the Autonomous Database the service level to achieve, and it handles the rest. The Autonomous Database
eliminates human labor to provision, secure, monitor, backup, recover, troubleshoot, and tune databases. This
greatly reduces database maintenance tasks, reducing costs and freeing scarce administrator resources to work on
higher value tasks.
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Oracle Autonomous Database Strategy
Since the Autonomous Database is based on the extremely feature rich and proven Oracle Database, on the
Exadata platform, it is able to run both OLTP and analytic workloads up to 100X faster. It includes many
performance enhancing Exadata features such as smart flash cache, automatic columnar format in flash cache,
smart scan, Exafusion communication over the super-fast InfiniBand network, and automatic storage indexes.
In addition, when it comes time to upgrade or patch, the Autonomous Database can replay the real production
workload on a test database to make sure the upgrade does not have any unexpected side effects on a missioncritical system.
Autonomous database automatically tunes itself using Machine Learning algorithms including automatically creating
any indexes needed to accelerate applications. Users get the ultimate simplicity of a “load and go” architecture in
which they can simply load their data and run SQL without worrying about creating and tuning their database access
structures.
Self-Securing
The Autonomous Database is more secure than a manually operated database because it protects itself rather than
having to wait for an available administrator. This applies to defenses against both external and internal attacks.
Security patches are automatically applied every quarter. This is much sooner than most manually operated Oracle
databases, narrowing an unnecessary window of vulnerability. Patching can also occur off-cycle if a zero-day exploit
is discovered. By applying patches in a rolling fashion across the nodes of a cluster, the Autonomous Database
secures itself without application downtime.
Patching is just part of the picture. The database also protects itself with always-on encryption. Customers can
control their own keys to further improve security.
In the future, Oracle’s Data Masking and Redaction technologies will be used to safeguard sensitive data by
concealing it for some users or workloads and masking it on test databases.
Self-Repairing
The Autonomous Database is more reliable than a manually operated database. At startup, it automatically
establishes a triple-mirrored scale-out configuration in one regional cloud datacenter, with an optional full standby
copy in another region. The Autonomous Database automatically recovers from any physical failures whether at the
server or datacenter level. It has the ability to rewind data to a point in time in the past to back out user errors. By
applying software updates in a rolling fashion across nodes of the cluster, it keeps the application online during
updates of the database, clusterware, OS, VM, hypervisor, or firmware.
If the database detects an impending error, it gathers statistics and feeds them to AI diagnostics to determine the
root cause. As a final safety net, the Autonomous Database runs nightly backups for you.
In the future, when it is time to update the Autonomous Database, it will be possible to replay the full production
workload on a parallel testing environment to verify the safety of the update before it is applied to a mission-critical
environment.
Oracle will offer a 99.995% uptime guarantee for the Autonomous Database. Oracle understands that missioncritical systems run 24x7. Unlike other cloud vendors, Oracle provides an uptime guarantee that includes planned
maintenance and all other common sources of downtime in its calculations.
Optimized for Different Workloads
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Oracle Autonomous Database Strategy
Modern automobiles are specialized by workload: family car, van, pickup truck, sports car, etc. In the same way, the
Autonomous Database consists of a single set of technologies available in multiple products, each tailored to a
different workload:
Data Warehousing. The Oracle Autonomous Database for Data Warehousing is the simplest and most efficient
database for data marts, reporting databases, and data warehousing. Available January 2018.
OLTP and mixed workloads. The Oracle Autonomous Database for OLTP is designed to run mission-critical
enterprise applications, including mixed workloads and real-time analytics, with no compromise on app performance.
Coming in 2018.
In the future, Oracle will also bring the autonomous principles of self-driving, self-securing, self-repairing to other
kinds of databases:
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NoSQL. Delivers transactional operations on JSON documents and key-value data. Available in 2018.
•
Graph. Automatically creates graph representations from tabular and JSON data for discovery of new
connections through network analysis. Coming in 2018.
In addition, the Autonomous Database provides IT leaders with a cloud-native enterprise-class foundation for new
app and data science development.
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Increase app developer productivity. The Autonomous Database instantly provides app developers with a
platform that offers the variety of data management methods their apps require with the simplicity of a selfmanaging database. App developers simply push a button to provision a mission critical capable database.
•
Simplify data science experimentation. Data science, like all science, boils down to experimentation. The
Autonomous Database’s built-in machine learning capabilities along with its self-driving and self-securing
capabilities, makes it easy for data science teams to experiment with datasets that are otherwise locked away
in operational silos for performance or security reasons.
Easy and Fast Transition to the Cloud
For IT leaders who want to move enterprise IT to a cloud foundation, the Autonomous Database offers the
smoothest and easiest transition.
•
Oracle Public Cloud, Cloud at Customer, or both. The Autonomous Database runs in both the Oracle Public
Cloud and Cloud at Customer environments. This means IT leaders can have the management ease and
subscription pricing of cloud for all enterprise workloads, including those that must stay in-house for regulatory,
data sovereignty, or network latency reasons.
•
Go cloud-native without app changes. Because the Autonomous Database is still an Oracle database,
existing apps can be quickly and easily moved to this new cloud-native data management platform with no app
changes.
With Autonomous Database, major cost savings and agility improvements come quickly, not after years to decades
of application rewrites.
Safest Transition to the Cloud
The transition to the cloud must improve the availability of mission-critical workloads, not put them at risk.
The Autonomous Database is built on top of the most widely proven and sophisticated database in the world: Oracle
Database. The Oracle Database is capable of running any type of workload in a highly secure, available, and
scalable fashion.
The Autonomous Database runs on the best database platform in the world: Exadata. Exadata is a cloudarchitected scale-out platform that uses the latest technologies including NVMe flash and InfiniBand networking,
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Oracle Autonomous Database Strategy
together with unique database optimizations in storage, compute, and networking to deliver leading performance,
scaling, and availability, at the lowest cost.
Oracle’s long experience and track record ensures that the transition to the cloud is safe and smooth. The largest
enterprises and governments in the world already run all types of mission-critical workloads with Oracle Database
on Exadata including:
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Multi-petabyte warehouses
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Ultra-critical applications like financial trading of trillions of dollars daily
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Highly sophisticated and complex business applications like SAP, Oracle Fusion Apps, Salesforce, etc.
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Massive enterprise database consolidations to reduce the cost of fragmented database deployments
Do Much More, with Far Less
Administering a mission-critical database is traditionally very expensive because it requires manual provisioning,
securing, monitoring, patching, backing-up, upgrading, recovering, troubleshooting, testing, and tuning of a complex
highly available scale-out deployment with disaster recovery protection. The extensive automation provided by
Autonomous Database dramatically simplifies these tasks, reducing administration costs up to 80%.
Traditional database deployments need to provision for the peak possible workload and add a substantial margin of
safety on top of that. But peak workloads tend to occur infrequently, leaving most of this costly capacity idle the
majority of the time. Oracle’s Universal Credits subscription model for cloud deployments allows customers to pay
for just the resources they use. Autonomous Database allows elastic adjustment of compute and storage resources
so that only the required resources are provisioned at any given time, decreasing runtime costs by up to 90%.
New application development often suffers from many months of delays waiting for database provisioning, testing,
and tuning. With Autonomous Database, new applications don’t wait at all, saving tens of thousands of dollars per
application and enabling much faster innovation.
The Autonomous Database subscription includes many management, testing, and security capabilities that
previously had to be licensed separately, including:
•
Data Encryption
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Diagnostics Pack
•
Tuning Pack
•
Real Application Testing
•
Data Masking, Redaction and Subsetting
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Hybrid Columnar Compression
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Database Vault
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Database In-Memory (subset) – in Autonomous Data Warehouse
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Advanced Analytics (subset) - in Autonomous Data Warehouse
To implement full data management workflows, other clouds use a combination of multiple specialized databases
such as a queuing database, OLTP database, JSON data store, reporting database, analytics database, etc. Each
database is independently developed and therefore has its own data model, security model, execution model,
monitoring model, tuning model, consistency model, query language, analytics, etc. Data needs to be transformed
and copied between these specialized databases. While moving data between specialized databases can make
sense for some extreme high-end applications, it adds enormous unnecessary cost and complexity to the large
majority of applications. Furthermore, it severely compromises security since protection is limited by the worst
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Oracle Autonomous Database Strategy
system in the workflow. The Autonomous Database handles all these functions in a single database with no need
for complex data movement, and provides integrated analytics across all data types.
Conclusion
IT leaders face the imperative to transform to cloud and do more with less. The Oracle Autonomous Database is the
only solution that enables IT leaders to transform both new applications and their existing estate in a safe and
effective fashion.
With Oracle Autonomous Database, customers uniquely get the world’s leading database, Oracle Database on the
best platform, Exadata. This combination provides the most secure, available, performant, proven solution at the
lowest cost as all operational tasks are fully automated and customers only pay for resources they use with
Universal credits or Bring Your Own License. The Autonomous Database’s fault-tolerant scale-out cluster that
works transparently for both OLTP and Analytic workloads makes it uniquely capable of running Mission Critical
workloads.
Autonomous Database is also the safest cloud deployment because data is automatically encrypted and security
updates are automatically applied as soon as they are available. It guarantees 99.995% uptime, including planned
maintenance activities. It has the simplest, quickest, and safest migration with fastest time-to-value because
customers can easily migrate their existing databases to Autonomous Database in either the Public Cloud or Cloud
at Customer environments without needing to make any changes to their applications.
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Oracle Autonomous Database Strategy
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Autonomous Database Strategy
December 2017
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