A few years ago, about two dozen Oracle employees began work in downtown office space in Seattle to start mapping out how to make the enterprise software giant and occasional system maker a competitive player in a crowded public cloud space that is dominated by the likes of Amazon Web Services and Microsoft Azure, and also includes a host of other high-profile companies, from Google to Salesforce to IBM. …
IBM, through the work of Edgar Codd, invented the ideas behind the relational database back in 1970. …
In the HPC cloud business, Oracle is a relative newcomer. As we reported in November 2018, the company jumped into the fray less than a year ago with HPC bare metal servers hooked together with a 100 Gb/sec RDMA network. …
Cockroach Labs has created a clone of Google’s Spanner geographically distributed database, and it looks like adoption of the CockroachDB database is starting to ride up the blade of the proverbial hockey stick and is moving quickly towards the much steeper handle. …
Oracle was famously behind the cloud computing curve, with co-founder and then-CEO Larry Ellison several years ago dismissing it as little more than an empty tag that was more on par with fashion trends than anything serious in the tech world. …
You can’t swing a good-sized cat without hitting an enterprise running Oracle software in some shape or form. …
Oracle was late to the cloud game, but in recent years has moved aggressively to catch up. …
During the dot-com boom, when Oracle was the dominant supplier of relational databases to startups and established enterprises alike, it used its profits to fund the acquisition of application serving middleware, notably BEA WebLogic, and then applications, such as PeopleSoft and Siebel, and then Java and hardware systems, from its acquisition of Sun Microsystems. …
Intel is not the only system maker that is looking to converge its processor lines to make life a bit simpler for itself and for its customers as well as to save some money on engineering work. …
While a lot of the applications in the world run on clusters of systems with a relatively modest amount of compute and memory compared to NUMA shared memory systems, big iron persists and large enterprises want to buy it. …
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