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Oracle Autonomous Database Adds 'Self-Driving' Features; Lets Non-Experts Use ML

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This fall, Oracle continues to roll out features and preview updates for its'self-driving' Oracle Autonomous Database. The technologies debuted at last month's Oracle OpenWorld. Enhancements to Oracle Autonomous Database include smart indexing, easier rollbacks, better performance and ways to make machine learning accessible to non-expert users. Oracle Autonomous Database uses a machine learning to make data center operations self-driving, self-repairing, and self-securing, Jenny Tsai-Smith, VP of Oracle Database Product Management, told IDN. She makes a sharp distinction between automation and autonomous.


Oracle Unleashes World's Fastest Database Machine Markets Insider

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ORACLE OPENWORLD -- Oracle Exadata Database Machine X8M, available today, sets a new bar and changes the dynamics of the database infrastructure market. Exadata X8M combines Intel Optane DC persistent memory and 100 gigabit remote direct memory access (RDMA) over Converged Ethernet (RoCE) to remove storage bottlenecks and dramatically increase performance for the most demanding workloads such as Online Transaction Processing (OLTP), analytics, IoT, fraud detection, and high frequency trading. "With Exadata X8M, we deliver in-memory performance with all the benefits of shared storage for both OLTP and analytics," said Juan Loaiza, executive vice president, mission-critical database technologies, Oracle. "Reducing response times by an order of magnitude using direct database access to shared persistent memory accelerates every OLTP application, and is a game changer for applications that need real-time access to large amounts of data such as fraud detection and personalized shopping." Exadata X8M helps customers perform existing tasks faster and accelerates time-to-insight, while also enabling deeper and more frequent analyses.


Oracle updates Exadata Cloud Service with persistent memory and 25-PByte Data Warehouse

ZDNet

As we reported last fall, Oracle's refresh of its Exadata database consolidation platform was a generation change with major architectural changes that turbocharge transaction processing and analytics. The Exadata X8M platform, introduced to on-premises customers last fall, is now becoming available in the Oracle Public Cloud, but with a major new twist. It is tapping the scale of the cloud to boost the capacity of Exadata for analytics to hold up to 25 PBytes of data. Oracle Exadata customers have embraced the new platform. In Q1 results released last month, Oracle reported that X8M accounted for the majority of Exadata Database Machine sales, and that overall Exadata on-premises sales for the quarter grew 15%.


New Oracle Exadata Builds in Machine Learning Advances, Supercharges Performance, Improves Cost Effectiveness

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Delivering extreme performance and availability, Oracle Exadata is the foundation for Oracle Autonomous Database, the world's first self-driving database, and Oracle Cloud Applications. In fiscal year 2018, Exadata set all-time product sales records with continued adoption across multiple workloads such as OLTP, Analytics, and IoT, and multiple verticals, including finance, retail, electronics, and telecommunications. "For the past 10 years, Exadata has been running the most critical workloads for thousands of customers around the world. Exadata now powers Oracle Autonomous Database and Oracle Cloud Applications," said Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle. "Today, we are improving the performance and capacity of the platform, and adding a broad range of capabilities based on artificial intelligence and machine learning to further increase Exadata's advantages."


Oracle Introduces Exadata X8M

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SAN FRANCISCO, September 17, 2019 -- Oracle Exadata Database Machine X8M, available today, sets a new bar and changes the dynamics of the database infrastructure market. Exadata X8M combines Intel Optane DC persistent memory and 100 gigabit remote direct memory access (RDMA) over Converged Ethernet (RoCE) to remove storage bottlenecks and dramatically increase performance for the most demanding workloads such as Online Transaction Processing (OLTP), analytics, IoT, fraud detection, and high frequency trading. "With Exadata X8M, we deliver in-memory performance with all the benefits of shared storage for both OLTP and analytics," said Juan Loaiza, executive vice president, mission-critical database technologies, Oracle. "Reducing response times by an order of magnitude using direct database access to shared persistent memory accelerates every OLTP application, and is a game changer for applications that need real-time access to large amounts of data such as fraud detection and personalized shopping." Exadata X8M helps customers perform existing tasks faster and accelerates time-to-insight, while also enabling deeper and more frequent analyses.