Scaling the data layer is a huge challenge.
Scaling the data layer is a huge challenge. No doubt. But calling databases that are designed for solving these problems "snake oil" undermines the huge amount of work that serious engineers have invested in this. No one has ever promised linear scalability and perfect consistency/reliability. No one. Cassandra, HBase, CouchDB etc even MongoDB have built in scalability as a first order priority from day one and have been largely successful at it e.g. iCloud, EA Online, PSN. Databases like this are a nightmare to work with for smaller datasets but work incredibly well with larger ones. It's always a shame to see HN act like you scale vertically and magically every problem is solved.
Posted by threeseed on Jul 22, 2015, 2:41 PM
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> Because they don't believe the disasters were inflicted by them.
Hehe, yeah I'm not sure when John Stewart would have worked there or what the pain points were for him, but he worked there for a bit.
https://www.apple.com/shop/product/mxcl3ll/a/magic-keyboard-...
If first-order hybrids made up only a small proportion of the total population of humans and Neanderthals, then the probability that a pa...
Well, I'd be interested to hear what some of those nuances are, personally.
My biggest Amazon annoyance.
> There's not really an unmet need for innovation in broadband delivery; the issue is running new wires broadband has costs, and in a lot...
Speaking of Amazon's account process, I have a really annoying problem with theirs.
Scaling the data layer is a huge challenge.
Scaling the data layer is a huge challenge. No doubt. But calling databases that are designed for solving these problems "snake oil" undermines the huge amount of work that serious engineers have invested in this. No one has ever promised linear scalability and perfect consistency/reliability. No one. Cassandra, HBase, CouchDB etc even MongoDB have built in scalability as a first order priority from day one and have been largely successful at it e.g. iCloud, EA Online, PSN. Databases like this are a nightmare to work with for smaller datasets but work incredibly well with larger ones. It's always a shame to see HN act like you scale vertically and magically every problem is solved.
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