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.
Larry Ellison and Satya Nadella have launched Oracle Database Service for Microsoft Azure, bringing the enterprise-grade performance, availability, and automation of Oracle Database to Azure customers.
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.
Industry analysts at Nucleus Research ranked Oracle Autonomous Database #1 in recently published cloud data warehouse ratings, citing built-in support for multi-model data and multiple parallel workloads.
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.
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.
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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)
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)
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)
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.
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.
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.
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.
Join EVP Andrew Mendelsohn, Oracle Database Server Technologies, to learn about Oracle's latest cloud data warehouse innovations.
Build and deploy machine learning models using built-in algorithms.
Apply pattern recognition, classification, and statistical analysis to large datasets.
Analyze geospatial data and offer insights to business opportunities across industries.
Build and deploy modern, data-driven applications 38X faster than regular coding.
Load and transform data, generate business models, and discover anomalies, and hidden patterns quickly.
Discover sensitive data, evaluate security risks, monitor, and enforce security controls automatically.
Learn how Oracle customers are using Oracle Autonomous Database to transform their businesses by redefining database management through machine learning and automation.
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.
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.
Use Autonomous Database to build, evaluate, and easily deploy machine learning models.
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.
Autonomous Database services offer multiple deployment possibilities for lowest cost, operational control, and isolation.
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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