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I'm testing it out and it seems pretty legit if you need a big, big key value store and don't want to wrangle redis or memcached shards.

Non-Java drivers are a bit behind, but nothing seems to have the same 95%tile latency, fast failover, SSD performance for actual read loads, and relatively easy scale out.


how did the testing go? any other findings?


The export feature would be really awesome if it could handle larger documents!

Also, sharing a document with someone else seems to throw an exception when they try to sign in...


The background music is a little distracting. It would be nice if it were at the same volume the whole time.

Other than that, I wouldn't have minded if you talked faster, but I have an attention deficit. :)


Actually, you can put the monitor on the keyboard shelf, and the keyboard on the desk.


I had to do a little shimming of the shelf bracket, since the legs were not perfectly straight, but no wobbling here either.


The height of the shelf is perfect for sitting. You can put a laptop/monitor on it and the keyboard below for some variety.


I don't particularly want to have to move my two monitors, and laptop, and keyboard and mouse, every time I get tired. :/


I believe a haptic tablet experiment is in order...


Here's a first pass at auto-discovering topics in that text using LDA (Latent Dirichlet Allocation) in R: http://opani.com/ryan/sarah-palin-email-topics/148845806827/

The biggest deficiency now is the stopwords list is not working 100% so mundane topics are creeping in. I'll have limited time to play with it in the next few days, so feel free to make some cool discoveries. :)


thanks, that's good feedback. we are actually using ec2 (you can even use your own AMI image).

intended message: we give you the tools you already use and make the ux of scaling to bigger data and getting meaning out of it effortless.

we should also link to people's apps so you can see what's being done already before you sign up.


mouseover the image


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