First Look: Oracle NoSQL Database
snydeq writes "InfoWorld's Peter Wayner takes a first look at Oracle NoSQL Database, the company's take on the distributed key-value data store for the enterprise. 'There are dozens of small ways in which the tool is more thorough and sophisticated than the simpler NoSQL projects. You get a number of different options for increasing the durability in the face of a node crash or trading that durability for speed,' Wayner writes. 'Oracle NoSQL might not offer the heady fun and "just build it" experimentation of many of the pure open source NoSQL projects, but that's not really its role. Oracle borrowed the best ideas from these groups and built something that will deliver good performance to the sweet spot of the enterprise market.'"
3 minutes and no comments :)
Oracle NoSQL might not offer the heady fun and "just build it" experimentation of many of the pure open source NoSQL projects
Oracle databases aren’t about fun, they are about pain. Severe pain. The kind of pain where you scream so loud in your mind at night that it wakes you up. Pain which you only endure if you need the power they offer over all the much more palatable alternatives available, or need support and/or the perception of not using “some freeware database” in the case of large bureaucratic enterprise.
All that said, this actually sounds like a good idea, and from what the article describes, it sounds like a good product. It will of course be painful to use, but I can see this catching on in the “serious performance/reliability” and “large enterprise with compulsive need to spend” groups, especially as NoSQL becomes a buzzword.
I know that a lot of submissions are inevitably going to be based on press releases (it's straight from the horses mouth so to speak), but do they have to be so blatantly biased? Could we have some sort of editorial? The last sentence of this post make me want to vomit.
I cannot understand why MapReduce has been turned into such a holy creation. The idea could not be simpler: you have a big dataset? Break it apart into pieces that are free of external dependencies, process the pieces in parallel and then aggregate the matches from the processed pieces.
This is not Hadoop, with its elaborate application plumbing or CouchDB with its curious use of MapReduce as part of its querying system.
MapReduce is too simple for all acclaim. It's too obvious.