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Oracle Autonomous Database

Reduce operational costs by up to 90% with a multimodel converged database and machine learning-based automation for full lifecycle management.1 Oracle Autonomous Database runs natively on Oracle Cloud Infrastructure while providing workload-optimized cloud services for transaction processing and data warehousing.

Oracle Autonomous Database: Revolutionizing Data Management (0:30)

Oracle Database 21c Now Available on Free Tier Oracle Database 21c Now Available on Free Tier

Take advantage of multimodel, multiworkload and multitenant enhancements, and AutoML for accessing machine learning in Oracle Autonomous Database.

Gartner ranks Oracle #1 for critical capabilities Oracle Recognized in Recently Released Gartner Report

Recognition from Gartner further validates the Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

Oracle Autonomous Database provides 417% ROI Oracle Autonomous Database provides 417% ROI

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

Oracle Autonomous Data Warehouse Innovations

Join EVP Andrew Mendelsohn, Oracle Database Server Technologies, to learn about Oracle's latest cloud data warehouse innovations.

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 (PDF)

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)

Oracle Autonomous Database for Dummies

Autonomous Database solutions

Take control of all your data with a converged database and automation

Autonomous Data Warehouse is a cloud database service optimized for analytical processing. It automatically scales compute and storage, delivers fast query performance, and requires no database administration.

Use cases

For simpler, faster, autonomous transactions

Autonomous Transaction Processing is a cloud database service that simplifies database operations for OLTP and real-time analytical applications. Reduce runtime costs by up to 90% and get unparalleled scale, performance, and security with embedded machine learning-based automations.

Use cases
  • Enterprise transaction applications
  • Mission-critical applications
  • Mixed-workload applications
  • Cloud native applications
  • Low-code applications

Develop JSON-centric applications with simple, fast, serverless cloud document database service

Oracle Autonomous JSON Database is a cloud document database service that makes it simple to develop JSON-centric applications. It features simple document APIs, serverless scaling, high performance ACID transactions, comprehensive security, and low pay-per-use pricing. Autonomous JSON Database automates provisioning, configuring, tuning, scaling, patching, encrypting, and repairing of databases, eliminating database management and delivering 99.995% availability.

Use cases
  • Mobile applications
  • Applications with dynamic personalized experiences
  • Content and catalog management
  • Integrated IoT applications
  • Digital payment applications

Oracle Autonomous Database in all its flavors continues without a response from competitors even after three years in the market,” said Holger Mueller, Vice President and Principal Analyst, Constellation Research. “Now Oracle is adding to that lead with enhancements to Autonomous Data Warehouse that aim to democratize all aspects of analytics and machine learning by eliminating the need for users to know SQL. Instead Oracle provides drag and drop UIs, AutoML for building and testing machine learning models, so that business users can do their own data explorations without depending on IT, DBAs, or system administrators to manage the data. All of this is built on Oracle’s converged database foundation which gives users access to all data models and types within a single database.

Holger Mueller Vice President and Principal Analyst, Constellation Research

Enabling data analysts, citizen data scientists, and business users to create and analyze their own data sets with self-service tools avoids IT bottlenecks and significantly improves their productivity. This is exactly what Oracle has done with its enhancements to Autonomous Data Warehouse. Oracle is equipping integrated tools with intuitive drag-and-drop interfaces that make it easier for data analysts to load, transform, and clean data; further, they can leverage machine learning to automatically create business models and discover patterns, thereby generate insights—leading to better and faster business decisions.

Bradley Shimmin Chief Analyst, Omdia

View more customer successes

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.

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MESTEC frees up time and resources to innovate in manufacturing


Autonomous Database deployment options

Autonomous Database services offer multiple deployment options 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

March 17, 2021

Oracle Autonomous Data Warehouse: New innovations for data analysts, citizen data scientists, and LOB developers

George Lumpkin, Vice President, Product Management for Autonomous Data Warehouse

After the introduction of Autonomous Data Warehouse, organizations of all sizes recognized how simple it could be to provision a data warehouse. Since Autonomous Data Warehouse requires no operational administration (and thus does not require a database administrator), a cloud data warehouse is within the reach of many more organizations than before.

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