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Oracle received the highest scores in all four Use Cases in the 2019 Gartner Critical Capabilities for Operational Database Management Systems report.
Oracle Autonomous Database is a family of self-driving, self-securing, and self-repairing cloud services. It’s the world’s first autonomous database, and it redefines database management by using machine learning and automation to eliminate human labor, human error, and manual tuning, reducing cost and complexity and ensuring higher reliability, security, and more operational efficiency. Autonomous Database supports a complex mix of high-performance transactions, including reporting, batch, Internet of Things (IoT), and machine learning in a single database. This simplifies application development and deployment and enables real-time analytics, personalization, and fraud detection.
Oracle Autonomous Database is available exclusively from Oracle and is offered in two configurations, both of which are optimized to meet the specialized requirements for online transaction processing and data warehousing. Oracle Autonomous Transaction Processing (ATP) Service allows much simpler application development and deployment for enabling real-time analytics, personalization, and fraud detection. Oracle Autonomous Data Warehouse (ADW) delivers unprecedented reliability, performance, and highly elastic data management, enabling data warehouse deployment in seconds. Both Oracle ATP and Oracle ADW are available in Shared Infrastructure and Dedicated forms—the Shared Infrastructure service focuses on simplicity and elasticity, while the Dedicated service provides customers with a customizable private database cloud.
Complete automation of database and infrastructure operations cuts administrative costs by up to 80 percent. The efficiency of a self-optimizing database together with elastic pay-per-use cuts runtime costs by up to 90 percent.
Automatic application of the latest security updates with no downtime eliminates cyberattack vulnerabilities. Protection from all types of downtime, including system failures, maintenance, user errors, and changes to the application data model.
Eliminating database maintenance frees database administrators and app developers to add more value to the business. Integrated machine learning algorithms enable the development of applications that perform real-time predictions such as personalized shopping and fraud detection.
Oracle Autonomous Transaction Processing and Java Cloud eliminated downtime for patching from one a day to zero, reduced database setup from three days to two minutes, and secures patient data for more time spent coding than administrating.
Oracle Autonomous Data Warehouse helps OUTFRONT Media provision a robust database in minutes versus months to integrate terabytes of third-party data and securely publish interactive dashboards in Oracle Analytics to the salesforce.
Using Oracle Autonomous Transaction Processing in combination with Microsoft Azure Interconnect has helped MESTEC cut its labor and infrastructure costs in half, and it is seeing workloads run up to 600 percent faster with half as many CPUs.
Oracle Autonomous Data Warehouse and Oracle Analytics accelerate a data strategy that enables Kingold to identify real investment opportunities easier and quicker, from 12 minutes to 41 seconds, and to focus on innovating luxury experiences for residents.
Agea accelerates its digital transformation in the media industry with Oracle Autonomous Data Warehouse to reduce annual costs by nearly 50 percent and eliminate database maintenance and patching with greater availability than an on-premise appliance.
Oracle Autonomous Transaction Processing helps JASCI Software increase order processing by 100X, improving supply chain speed, efficiency, and accuracy with subsecond order fulfillment for expedited shipping and superior customer service.
Provisions mission critical, scale-out database on Oracle Exadata Infrastructure. Automates patching, upgrades, and tuning without human intervention or downtime. Users can instantly create new autonomous databases and easily convert existing databases, dramatically reducing costs and time to market. Instant scaling of compute and storage online as needed. Integrated machine learning algorithms enable the development of applications that perform real-time predictions to drive capabilities such as personalized shopping and fraud detection.
Automatically applies security updates online, ensuring protection from known cyberattacks. Encrypts all data whether it’s at rest or in flight. It also prevents any administrators from snooping on sensitive application data. Oracle Database Vault prevents administrators from snooping on user data. Oracle Data Safe helps you identify sensitive data and mask it for use in partner or development environments—alerting on risky users and system configurations, and monitoring database activity to let you quickly discover suspicious attempts to access data.
Automatically protects from all types of downtime, including system failures, maintenance, user errors, and changes to the application data model.
Get more complete and up-to-date insights into pipeline and expenses.
Review budgets, retention, and recruiting effectiveness with interactive dashboards.
Understand the effectiveness of your campaigns and drive real-time analysis.
Optimize cash flow and evaluate credit exposure with live dashboards.
By making your data work harder, Oracle Autonomous Database opens up a new world of possibilities. You can derive insights, identify trends, and increase productivity to drive business growth.
Connect with Oracle Analytics Cloud to empower analysts and LOB leaders with AI-driven insights.
Move the algorithms to the data using Oracle Machine Learning for data scientists.
Gartner, Magic Quadrant for Operational Database Management Systems, Merv Adrian, Donald Feinberg, Henry Cook, 25 November 2019
Gartner, Critical Capabilities for Operational Database Management Systems, Donald Feinberg, Merv Adrian, Henry Cook, 25 November 2019
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