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.
Want to get the most from your database? Then you probably already use Database Storage Engines. Now, Micron Technology, a leading storage company, has announced the first open-source, heterogeneous-memory storage engine (HSE). This is designed for database management systems (DBMS)s to get the most from solid-state drives (SSDs) and storage-class memory (SCM). As tech extends to personal finance, CNET's experts share news, advice and recommendations for making the best financial decisions.
For all of computing's advances the past few decades, one aspect that's remained fairly constant is the fundamental relationship among processors, memory chips, and storage, coupled with software designed to route data where it's most urgently needed. New memory technology that reached the market this year in response to big computing trends could upend this longstanding choreography among the components that shuttle information around the world's data centers. Many of today's business applications thrive on supersize datasets that need to be processed in near real time, which means even today's solid-state drives (SSD) require processors to wait too long for data in storage. At the same time, memory performance gains haven't kept up with those of either CPUs or storage. Simply packing servers with more memory can be expensive.
Oracle has pushed out Exadata X8, the latest iteration of its engineered system optimised for the Oracle database. Unveiled today, the Oracle Exadata Database Machine X8 introduces machine-learning capabilities drawn from the Oracle Autonomous Database. These include Automatic Indexing, which continuously tunes the database as usage patterns change. The Exadata X8 also incorporates automated performance monitoring which can determine the root cause of issues without human intervention, according to Oracle. The company said the software does this using AI combined with real-world performance triaging experience and best practices.
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."