
Oracle Goes Massively Parallel, Low Cost With Exadata Exascale
Maybe, if you need blazing performance extracting data and chewing on it from a relational database, it belongs in a cloud. …
Maybe, if you need blazing performance extracting data and chewing on it from a relational database, it belongs in a cloud. …
Ultimately, every problem in the constantly evolving IT software stack becomes a database problem, which is why there are 418 different databases and datastores in the DB Engines rankings and there are really only a handful of commercially viable operating systems. …
As we have noted before, vector databases aren’t new even though people talk about them that way, and in fact can trace their origins back a few decades. …
When it comes to funding rounds for high tech companies, the alphabet usually runs out somewhere around Series E. …
There is something weird about storage companies that were started around the same time as the Great Recession. …
Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, in databases from multiple vendors, in disparate formats, and for new workloads like artificial intelligence. …
The top hyperscalers and clouds are rich enough to build out infrastructure on a global scale and create just about any kind of platform they feel like. …
A decade and a half ago, when Dennard scaling ran out of gas and many of us were starting to first think about what the end of Moore’s Law might look like should that day ever come, a bunch of us were kicking around what it might mean. …
A decade ago, Fangjin “FJ” Yang was a software architect at startup Metamarkets, a company that was building a user-facing analytics engine that a lot of developers simultaneously could go to, click on a UI, and very quickly get answers to their questions. …
Why does Google need another database, and why in particular does it need to introduce a version of PostgreSQL highly tuned for Google’s datacenter-scale disaggregated compute and storage? …
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