In a bid to attract more small business and department-level customers to its high-end Exadata Cloud service, Oracle Corp. today launched what it calls an “intelligent data architecture” that delivers ...
Oracle Corporation continues its cycle of redefining OLTP database performance with its purpose-built Exadata platforms. Last week the company continued the tradition, introducing its twelfth Exadata ...
With up to 95 percent reduction in infrastructure costs, organizations of any size can now benefit from using Oracle Exadata New service unites the best of Exadata's database intelligent architecture ...
Oracle’s Exadata Database Machine X4-8 has been enhanced with increased compute, memory, and communication to support data-intensive operations, including data warehousing, OLTP, and big data ...
Oracle Corp. today is rolling out the latest version of its Exadata database-optimized computing platform, claiming 55% better performance on vector searches used in artificial intelligence model ...
It may not seem like it, but Oracle is still in the high-end server business, at least when it comes to big machines running its eponymous relational database. In fact, the company has launched a new ...
Oracle already delivered what may be the fastest OLTP database machine ever built when it brought the Exadata X8M to market just over a year ago. However, today the company bested itself when it ...
Oracle has launched the Exadata Database Machine X4-8 which is specifically optimized for a new generation of workloads: database as a service (DBaaS) and database in-memory. With up to 12 terabytes ...
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 ...
Customers around the globe run their businesses on Exadata including Equinix, Hyundai Home Shopping, Intel, Korea Credit Bureau, NEC, Telefonica, TISCO, and Tractor Supply AUSTIN, Texas, Sept. 28, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results