Oracle Chief Larry Ellison Charts Out Firm’s Autonomous Strategy

Oracle Executive Chairman and CTO Larry Ellison Wednesday outlined a detailed framework of the company’s autonomous strategy making the availability of the firm’s Autonomous Database Cloud Service and Autonomous Transaction Processing.

Oracle Autonomous Transaction Processing delivers cost savings, security, availability, and productivity using machine learning and automation capabilities. The company’s new self-driving database cloud service is built to run the world’s most demanding finance, retail, manufacturing, and government applications, supporting a complex mix of high-performance transaction processing, reporting, batch, and analytic workloads.

Oracle’s Autonomous Database portfolio provides organizations with the most complete and advanced set of database capabilities on the market today, Ellison claimed.

“Oracle is by far the best database in the world and it just got a lot better because now it’s autonomous,” said Ellison. “This delivers a much more reliable, much more secure system—a system that protects against data theft, a system that is up 99.995 percent of the time, and a system that makes organizations and their developers dramatically more productive.”

Traditionally, creating a database management system required experts to custom build and manually maintain a complex hardware and software stack. Oracle Autonomous Database revolutionizes data management by using machine learning to provide a self-driving, self-securing, and self-repairing database service with cloud economies of scale and elasticity. The service enables users to instantly create new autonomous databases and easily convert existing databases, dramatically reducing costs and time to market.

Complementing the existing Oracle Autonomous Data Warehouse service, Oracle Autonomous Transaction Processing can support a complex mix of high-performance transactions, reporting, batch, IoT, and machine learning in a single database, allowing for simpler application development and deployment, and enabling real-time analytics, personalization, and fraud detection on live transactional data.

“The toughest job a DBA has is that of tuning and maintaining a mission-critical transactional database,” said Carl Olofson, research vice president for IDC’s Data Management Software research. “In addition to examining statistics and applying tuning adjustments, the DBA must also apply patches, including security patches, on a very frequent basis, which is both an error-prone and operationally-disruptive activity. With Oracle Autonomous Transaction Processing, Oracle has eliminated these problematic tasks, allowing the DBA to concentrate on the higher value activity of enabling more business-responsive applications, and helping the enterprise to ensure that data will not be compromised due to known vulnerabilities.”

The company claims Oracle Autonomous Database supports the most mission-critical workloads because it is based on highly-sophisticated Oracle Database technologies that are unrivaled by any other product, including high-performance Exadata infrastructure, Real Application Clusters for transparent scale-out and fault tolerance, Active Data Guard disaster recovery, and Online Data Evolution.

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