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)
Oracle breaks through data management boundaries
New innovations in Oracle Autonomous Data Warehouse simplify and accelerate data access and data sharing across organizations and clouds at significantly reduced costs.
Learn why Wikibon believes that Oracle Autonomous Database’s type of database architecture is critical for implementing data transformation initiatives.
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.
See how Oracle brings the public cloud and Autonomous Database to your data center to meet stringent regulatory, data latency, and data residency requirements.
A multi-customer study shows 417% ROI over 5 years, with 5 months to payback.
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.
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.
Oracle Autonomous Database on Exadata Cloud@Customer use cases
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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.
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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.
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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.
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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.
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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.
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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.
Installing Database API for MongoDB for any Oracle Database
Roger Ford, Principal Product Manager, Oracle
Oracle Database API for MongoDB is adding new deployment options. The API is now available for Autonomous Database on both shared and dedicated infrastructures, Autonomous Database on Exadata Cloud@Customer, and on-premises Oracle Database deployments. Read how you can enable the API and connect to Oracle Database using the standard MongoDB Shell tool.
Featured blogs
- July 28, 2022 Autonomous Database Newsletter
- July 20, 2022 Oracle Database Service for Azure
- July 12, 2022 OML Notebooks plus APEX for Fast/Easy Deployment of Machine Learning Models
- MARCH 16, 2022 Multiple VM Autonomous Database on Exadata Cloud@Customer Debuts
- MARCH 2, 2022 Migrating from AWS RDS to Oracle Autonomous Database via Data Pump
- FEBRUARY 15, 2022 At Last, MongoDB Developers Get Full Autonomous Capabilities
- FEBRUARY 11, 2022 Database Tools in Oracle Cloud Infrastructure (OCI)
Resources
Access complete Autonomous Database documentation
Tutorials and hands-on labs
Take advantage of free tutorials and hands-on labs for autonomous database services.
Introducing a new low-cost entry point for Oracle Autonomous Database
Oracle EVP Juan Loaiza introduces the new ability to concurrently run Autonomous Database Service and Exadata Database Service on Gen 2 Exadata Cloud@Customer, enabling higher developer productivity and consolidation efficiency.
Learn more
- KuppingerCole Blog: Is “Why Not Both?” Oracle’s New Product Strategy? (PDF)
- Press release: Oracle Announces Support for Autonomous and Non-Autonomous Databases on the same Oracle Exadata Cloud@Customer
- Analyst report: Oracle brings the Autonomous Database to every data center (PDF)
- Analyst report: Oracle rolls out a new way to use Autonomous Database (PDF)
- Analyst report: Cloud Database Battle: AWS vs. DIY vs. Oracle (PDF)
- Analyst report: Simplicity and agility without moving apps or data (PDF)
- Analyst report: Bringing Oracle Autonomous Database into the Datacenter with Oracle Cloud@Customer (PDF)
- Infographic: The top 10 reasons to choose Oracle Autonomous Database on Exadata Cloud@Customer (PDF)
- Analyst report: Reimagining the data-driven bank (PDF)
- Ebook: Bringing Autonomous Database to your premises
- New Frontiers of Automation: The IT Leader’s Guide to Oracle Autonomous Database (PDF)
- Constellation Research report: The Autonomous Imperative Materialized (PDF)
- Brief: Accelerating innovation with Autonomous Transaction Processing (PDF)
- Brief: Oracle Autonomous Data Warehouse (PDF)
- Video: Exadata Cloud@Customer (2:06)
- Video: Larry Ellison introduces new Oracle autonomous services for your data center (58:19)
Plan, Adopt, Innovate
Oracle provides both the technology and the guidance you need to succeed at every step of your journey, from planning and adoption through to continuous innovation.
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