Oracle Autonomous Database
A fully automated database service that makes it easy for all organizations to develop and deploy application workloads regardless of complexity, scale, or criticality. Autonomous Database’s converged engine supports diverse data types, simplifying application development and deployment from modeling and coding to ETL, database optimization, and data analysis. With machine-learning–driven automated tuning, scaling, and patching, Autonomous Database delivers the highest performance, availability, and security for OLTP, analytics, batch, and Internet of Things (IoT) workloads. Built on Oracle Database and Oracle Exadata, Autonomous Database is available on Oracle Cloud Infrastructure for shared or dedicated deployments, and on-premises with Exadata Cloud@Customer and Dedicated Region Cloud@Customer.
Read Autonomous Database technical overview
Learn how Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database, while giving customers the highest levels of performance, scalability, and availability.
Announcing Oracle Database API for MongoDB
Run MongoDB workloads on Oracle Cloud Infrastructure by migrating applications written for MongoDB to Oracle Autonomous JSON Database. Developers can continue to use MongoDB's open source tools and drivers using the new API for MongoDB.
Gartner recognizes Oracle as a Leader in the 2021 Magic Quadrant for Cloud DBMS
Get an independent evaluation of top vendors—and see why Oracle is named a Leader for vision and execution—in the 2021 Gartner Magic Quadrant for Cloud Database Management Systems.
Oracle Database World now on demand
Missed the event? Learn how to simplify data-driven apps and analytics and get the most out of your data from the experts and architects behind Oracle Database.
Why choose Autonomous Database?
Self-driving: Automate database provisioning, tuning, and scaling
Provisions highly available databases, configures and tunes for specific workloads, and scales compute resources when needed, all done automatically.
Read the Autonomous Database strategy business brief (PDF)Read the Autonomous Database technical overview
Self-securing: Automate data protection and security
Protect sensitive and regulated data automatically, patch your database for security vulnerabilities, and prevent unauthorized access—all with Oracle Autonomous Database.
Read the business brief on the first self-securing database (PDF)Self-repairing: Automate failure detection, failover, and repair
Detect and protect from system failures and user errors automatically and provide failover to standby databases with zero data loss.
Read the technical brief on the first self-repairing database (PDF)Autonomous Database solutions
For simpler, faster transactions
A fully automated database service optimized to run transactional, analytical, and batch workloads concurrently. To accelerate performance, it is preconfigured for row format, indexes, and data caching, while providing scalability, availability, transparent security, and real-time operational analytics. With Autonomous Database, application developers and DBAs can rapidly, easily, and cost-effectively develop and deploy applications without sacrificing functionality or ACID (atomicity, consistency, isolation, durability) properties.
Read Gartner Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. See why Oracle is named a leader.
Use cases
- Transaction processing applications
- Mission-critical applications
- Mixed-workload applications
- Cloud native applications
- Low-code applications
- Business applications
Take control of all your data with a converged database and automation
A fully automated cloud database service optimized for analytic workloads, including data marts, data warehouses, and data lakes. It is preconfigured with columnar format, partitioning, and large joins to simplify and accelerate database provisioning, extracting, loading, and transforming data; running sophisticated reports; generating predictions; and creating machine learning models. With Autonomous Database, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type.
Use cases
- Enterprise Data Warehouse
- Data lakes
- Departmental Data Warehouse
- Data science and machine learning
- Data and IoT event streams
Develop JSON-centric applications with simple, fast, serverless cloud document database service
Oracle Autonomous JSON Database (AJD) is a version of Oracle Autonomous Database exclusively for transactions and analytics on JSON data, and includes a MongoDB API.
Use cases
- Mobile applications
- Applications with dynamic personalized experiences
- Content and catalog management
- Integrated IoT applications
- Digital payment applications
Build applications faster
APEX App Dev is built into Oracle Autonomous Database for developing and running transactional or analytic low-code apps. Build apps 38X faster than traditional coding.
Use cases
- Opportunistic apps
- Data sharing
- Replace spreadsheets
- ISV Applications
- Oracle Forms modernization
Latest innovations in Oracle Autonomous Database for analytics and data warehousing
Join EVP Andrew Mendelsohn, Oracle Database Server Technologies, to learn about Oracle's latest cloud data warehouse innovations.
Autonomous Database capabilities
Machine Learning
Build and deploy machine learning models using built-in algorithms.
Graph Analytics
Apply pattern recognition, classification, and statistical analysis to large datasets.
Spatial Analytics
Analyze geospatial data and offer insights to business opportunities across industries.
Low Code App Dev
Build and deploy modern, data-driven applications 38X faster than regular coding.
Self-Service Data Management
Load and transform data, generate business models, and discover anomalies, and hidden patterns quickly.
Data Protection and Security
Discover sensitive data, evaluate security risks, monitor, and enforce security controls automatically.
Try Oracle Autonomous Database MovieStream Workshop
Autonomous Database customer successes
Learn how Oracle customers are using Oracle Autonomous Database to transform their businesses by redefining database management through machine learning and automation.
Benefits
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Lower costs with autoscaling and per-second billing
Use autoprovisioning and autotuning to simplify the creation and optimization of all data stores in the cloud. Start with the lowest cost and commitment, and autoscale as the business grows.
IDC report: Autonomous Database enables a 455% ROI for d.light (PDF)
IDC report: AI-Based Automation for Database Management (PDF)
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Reduce risk with Oracle Data Safe and self-securing features
Protect sensitive data and accelerate compliance with Oracle Data Safe, a database security cloud service that's included with Autonomous Database, in addition to zero-downtime patching, always-on encryption, and more.
Learn more about the security benefits of Autonomous Database (PDF)
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Innovate more with Oracle Machine Learning
Use Autonomous Database to build, evaluate, and easily deploy machine learning models.
Read the Harvard Business Review report on intelligent automation
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Support high availability requirements with SLAs covering complete database service lifecycles
Autonomous Database's 99.95% availability SLA includes the complete database service lifecycle. Most cloud vendor database services exclude downtime resulting from key lifecycle operations, such as planned maintenance or downtime due to crashes in the underlying database engine. Read how Autonomous Database offers end-to-end financially backed SLAs covering performance, availability, and manageability of services.
Learn more about Oracle Cloud Infrastructure Service Level Agreement (SLA)
Read the Oracle PaaS and IaaS Public Cloud Services Pillar report (PDF)
Technical Brief Series: The Industries First Self-Repairing Database (PDF)
See what’s new in Autonomous Database
Autonomous Database deployment
Autonomous Database services offer multiple deployment possibilities for lowest cost, operational control, and isolation.
Shared infrastructure
- Multiple users share the same cloud platform resources in public cloud
- Lowest cost to get started with no minimum commitment requirement
Dedicated infrastructure
- Complete isolation of your data and operations, with a private dedicated database cloud within public cloud
- Dedicated system resources—such as processor, memory, network, or storage—offer greater control over operational policies and customizations
Cloud@Customer infrastructure
- Autonomous Database in your data center to meet regulatory, data sovereignty, or network latency requirements for workloads that cannot move to public cloud
- Enables IT to easily deliver self-service databases to business users and developers while ensuring security and governance of all data
Oracle (Autonomous Transaction Processing) Ranked Highest in Gartner® Critical Capabilities for Cloud DBMS Operational Use Cases
William Hardie, Vice President of Oracle Database Product ManagementIn 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.
Featured blogs
- March 16, 2022 Global Industry Analyst Perspectives on Multi-VM Autonomous Database on Exadata Cloud@Customer
- 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
Learn more
- What’s new for Oracle Autonomous Database on dedicated Exadata infrastructure?
- What’s new for Oracle Autonomous Database on shared Exadata infrastructure?
- Autonomous Database for transaction processing and mixed workloads documentation and tutorials
- Autonomous Database for analytics and data warehousing documentation and tutorials
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1 IDC report: Ensuring a Fast, Reliable, and Secure Database Through Automation (PDF)
2 The GARTNER PEER INSIGHTS Logo is a trademark and service mark of Gartner Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner Peer Insights reviews constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.