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  3. Autonomous Database

Autonomous Database on Exadata Cloud@Customer

Oracle Autonomous Database on Exadata Cloud@Customer allows organizations to virtually eliminate the complexity and cost of managing on-premises databases. Its unique combination of high performance, availability, and dynamic, online scaling delivers pay-per-use cloud economics while helping customers meet strict data residency, security, and latency requirements in their data centers. The fully managed Autonomous Database Service runs concurrently with Exadata Database Service on the same Cloud@Customer infrastructure, making it easy to utilize for existing workloads, develop new ones, and increase consolidation efficiency.

Introducing a new low-cost entry point for Oracle Autonomous Database (10:26)

TCO analysis of cloud database deployment options

Learn why Wikibon believes that Oracle Autonomous Database’s type of database architecture is critical for implementing data transformation initiatives.

Read Wikibon’ analysis (PDF)
Announcing Multiple VM Autonomous Database on Exadata Cloud@Customer

Find out how running autonomous and non-autonomous databases on the same Oracle Exadata Cloud@Customer increases operational efficiency and provides developers with a fully managed, self-service database cloud.

Read the press release
Introduction to Cloud@Customer

See how Oracle brings the public cloud and Autonomous Database to your data center to meet stringent regulatory, data latency, and data residency requirements.

Watch the video (2:00)
IDC: Oracle Autonomous Database provides 417% ROI

A multi-customer study shows 417% ROI over 5 years, with 5 months to payback.

Read the report (PDF)

Automate on-premises databases

Making mission-critical databases easy

The simplest place to develop applications

Create modern, data-driven applications with any data, development style, and workload while automatically benefiting from high performance, consistent security models, and mission-critical capabilities.

Lowest adoption costs

Run Autonomous Database Service on VM clusters inside an existing Exadata Cloud@Customer with no setup costs, making it the easiest and least expensive way to start using the word's most advanced database in customer data centers.

Autonomous operations

Improve management efficiency and reduce costs by replacing error-prone manual management with machine learning–driven automation to patch, scale, tune, secure, back up, and repair databases.

Data residency and security

Secure Oracle databases behind customers’ data center firewalls to help meet data residency, security, and governance requirements.

Pay-per-use economics

Reduce costs by only paying for vCPU consumption and taking advantage of online resource scaling, fractional vCPUs, and the ability to set consumption to zero when not in use.

Consolidate databases

Concurrently run autonomous and non-autonomous databases on the same Exadata Cloud@Customer, enabling organizations to efficiently consolidate all types of workloads and develop new database applications.


Complete and simple

Converged database simplicity

Replace the complexity and risk of managing multiple single-purpose databases with one autonomously managed database that supports all data types, workloads, and development styles.

High performance

Run OLTP applications faster with SQL latency of less than 19 microseconds, up to 22 million SQL IOPS, and the automated database tuning and indexing capabilities of Autonomous Database.

High availability

Improve the availability of critical databases with built-in Real Application Clusters, redundant infrastructure, application continuity, and automated disaster recovery and backups.

Greater developer productivity

Enable developers to build enterprise and cloud native applications faster by avoiding the need to manually provision, tune, and scale databases.

Optimized workload consolidation

Use Autonomous Database Service on Exadata Cloud@Customer to run OLTP workloads, taking advantage of isolated VM clusters with customized amounts of compute, memory, and storage to optimize application performance and consolidation efficiency.

Lower costs

Run OLTP workloads with the lowest possible cloud consumption costs by automatically scaling resources up to meet peak demands and back down to minimize costs, all without interrupting operations.





Automated data management

Business-critical data warehouses made simple

Make it easy to store and analyze terabytes to petabytes of diverse information with less integration, tuning, and management using self-service data warehouses that include built-in high availability and security.

Built-in analytics

Accelerate data analysis with built-in machine learning, spatial, graph, and text analytics that eliminate the need to extract, transform, and load data into separate databases.

Scalable high-performance queries

Create automated data summaries, optimize queries, and automatically scale compute up to 3X for consistently fast query performance using optimized Exadata Cloud@Customer infrastructure with unique parallel query and analytics offload capabilities.

Converged data analytics

Analyze all data types including relational, graph, JSON, and spatial, as well as data in object storage-based data lakes.

Optimized workload consolidation

Use Autonomous Database Service on Exadata Cloud@Customer infrastructure for analytics workloads and take advantage of isolated VM clusters with customized amounts of compute, memory, and storage to optimize application performance and consolidation efficiency.

Lower costs

Run analytics workloads with the lowest possible cloud consumption costs by offloading IO and compute-intensive processing to Exadata storage servers, reducing management costs, and automatically scaling resources up and down to meet peak demands and minimize costs, all without interrupting operations.


View all customer successes

Oracle Autonomous Database on Exadata Cloud@Customer successes

Autonomous Database has helped thousands of customers transform their business by redefining data management. Customers are bringing Autonomous Database on the proven Cloud@Customer platform into their data centers for applications that can't move to public cloud.

Samsung logo
NTT Docomo logo
Entel logo
Entel logo

Entel ups security with Autonomous Database on Exadata Cloud@Customer.

Oracle Autonomous Database on Exadata Cloud@Customer use cases

  • Lower the cost of using a fully managed autonomous database service

    Reduce infrastructure and management costs by running Oracle Autonomous Database Service on isolated VM clusters deployed on the same Cloud@Customer infrastructure as Exadata Database Service.

  • Improve developer impact

    Enable developers to rapidly build, test, and deploy applications with APIs, CLIs, and SDKs using a secure, self-service database cloud based on Oracle best practices.

  • Accelerate insights

    Create secure, governed, self-service data warehouses that enable lines of business to rapidly gain insights from multiple data sources without moving workloads and data to the cloud.

  • Increase runtime efficiency for Oracle applications

    Run JD Edwards, Siebel, and PeopleSoft with the lowest possible database costs and without the complexity of managing the databases.

  • Automate database management

    Gain autonomous operations with databases that tune, scale, and secure themselves, help reduce human errors, and enable diverse OLTP, analytics, and mixed workloads to run faster.

  • Consolidate diverse databases

    Concurrently run autonomous and non-autonomous databases on the same Oracle Exadata Cloud@Customer to improve operational efficiency costs for all types of database workloads.

January 3, 2022

Oracle (Autonomous Transaction Processing) Ranked Highest in Gartner® Critical Capabilities for Cloud DBMS Operational Use Cases

William Hardie, Vice President of Oracle Database Product Management

In the 2021 Gartner Report, "Critical Capabilities for Cloud Database Management Systems (DBMS) Operational Use Cases", Oracle (Autonomous Transaction Processing) received the highest scores in all four use cases. This is the fourth year in a row that Oracle Autonomous Database optimized for transaction processing and mixed workloads (ATP) has achieved the highest scores for all four operational use cases.

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