Oracle chairman and chief technology officer, Larry Ellison, has announced the availability of Oracle autonomous transaction processing, the latest addition to Oracle’s autonomous database cloud service.

The company claims its new autonomous transaction processing solution would deliver its clients significant cost savings, along with improvements in security, availability, and productivity.

Existing Oracle autonomous data warehouse clients are the initial targets for Oracle, as those organisations  require support for a complex mix of high-performance transactions, reporting, batch, IoT, and machine learning in a single database. Users should benefit from simpler application development and deployment, and real-time analytics, personalisation, and fraud detection on live transactional data according to an statement accompanying the release.

“This delivers a much more reliable, much more secure system — a system that protects against data theft, a system that is up 99.995 per cent of the time, and a system that makes organisations and their developers dramatically more productive,” Ellison said.

Oracle believes its autonomous database services will remove the pain points previously encountered with creating a database management system, which required experts to custom build and manually maintain a complex hardware and software stack. The service aims to enable users to instantly create new autonomous databases and easily convert existing databases, dramatically reducing costs and time to market.

The Redwood Shores tech firm estimates the complete automation of database and infrastructure operations has the potential to cut administrative costs up to 80 per cent. Additionally, the efficiency of a self-optimising database together with elastic pay-per-use could cut runtime costs up to 90 per cent.

Furthermore, Oracle says that by eliminating database maintenance and manual tuning; a firm can accelerate innovation by allowing database administrators to focus on getting more value from data. Integrated machine learning algorithms enable the development of applications that perform real-time predictions, such as personalised shopping and fraud detection, according to the company.

“The toughest job a DBA has is that of tuning and maintaining a mission-critical transactional database,” said Carl Olofson, vice president, IDC 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,” Olofson said.

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