Yesterday, I decided to try out HR datastore to compare it with the
Master/Slave version I've been developing for quite some time to see what
the differences might be. First thing I've seen is that the number of
instances is strange. On Master/Slave the instances start and stop
frequently but HR instances stay alive for very long periods. Currently,
with no activity Master/Slave has no instances running but HR has six
instances running. There hasn't been any activity for quite a while on HR.
See attached image. Anyone else seeing this behavior??? Is this normal? So,
I'm curious as to what differences people who have made the switch have seen
and if it is worth the extra cost especially anyone who's also used other
services like Amazon. To aid the discussion I've put it in a PRO's Vs.
CON's. I've indicated question marks where things have been
reported anecdotally and any confirmation or rejection of said item would be
appreciated. If there are items I have missed please let me know. Thanks for
any input/discussion.

PROs
-------------------------------------------------------------------------------------------------------------------------------------------------------------------
1. No downtime during maintenance.
2. Latency/Spikes suppossedly decreased.??
3. Faster gets/queries.??
4. If Google ever does support an SLA it will only be HR (Ikai's post). But
that might be 2020 or later :-)

CONs
----------------------------------------------------------------------------------------------------------------------------------------------------------------------
1. Cost: $.45/GB (seems expensive - is it worth it?)
2. Increased CPU (Testing is still early but it seems CPU cost is
increased?? Is this just for puts with writing to multiple datacenters??)

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