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Date: Sun, 20 Nov 2011 20:32:44 +0000
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 <CA+nPnMzmJXwQnjNQmh6oQb3YDemztYZ5WXPf=R-ohTV+MH3UNw@mail.gmail.com>
Subject: Re: data agility
From: Stephen Connolly <stephen.alan.connolly@gmail.com>
To: user@cassandra.apache.org
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if your startup is bootstrapping then cassandra is sometimes to heavy to
start with.

i.e. it needs to be fed ram... you're not going to seriously run it in less
than 1gb per node... that level of ram commitment can be too much while
bootstrapping.

if your startup has enough cash to pay for 3-5 recommended spec (see wiki)
nodes to be up 24/7 then cassandra is a good fit...

a friend of mine is bootstrapping a startup and had to drop back to mysql
while he finds his pain points and customers... he knows he will end up
jumping back to cassandra when he gets enough customers (or a VC) but for
now the running costs are too much to pay from his own pocket... note that
the jdbc driver and cql will make jumping back easy for him (as he still
tests with c*... just runs at present against mysql.... nuts eh!)

- Stephen

---
Sent from my Android phone, so random spelling mistakes, random nonsense
words and other nonsense are a direct result of using swype to type on the
screen
On 20 Nov 2011 19:07, "Dotan N." <dipidi@gmail.com> wrote:

> Hi all,
> my question may be more philosophical than related technically
> to Cassandra, but please bear with me.
>
> Given that a young startup may not know its product full at the early
> stages, but that it definitely points to ~200M users,
> would Cassandra will be the right way to go?
>
> That is, the requirement is for a large data store, that can move with
> product changes and requirements swiftly.
>
> Given that in Cassandra one thinks hard about the queries, and then builds
> a model to suit it best, I was thinking of
> this situation as problematic.
>
> So here are some questions:
>
> - would it be wiser to start with a more agile data store (such as
> mongodb) and then progress onto Cassandra, when the product itself
> solidifies?
> - given that we start with Cassandra from the get go, what is a common
> (and quick in terms of development) way or practice to change data, change
> schemas, as the product evolves?
> - is it even smart to start with Cassandra? would only startups whose core
> business is big data start with it from the get go?
> - how would you do map/reduce with Cassandra? how agile is that? (for
> example, can you run map/reduce _very_ frequently?)
>
> Thanks!
>
> --
> Dotan, @jondot <http://twitter.com/jondot>
>
>

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<p>if your startup is bootstrapping then cassandra is sometimes to heavy to=
 start with.</p>
<p>i.e. it needs to be fed ram... you&#39;re not going to seriously run it =
in less than 1gb per node... that level of ram commitment can be too much w=
hile bootstrapping.</p>
<p>if your startup has enough cash to pay for 3-5 recommended spec (see wik=
i) nodes to be up 24/7 then cassandra is a good fit...</p>
<p>a friend of mine is bootstrapping a startup and had to drop back to mysq=
l while he finds his pain points and customers... he knows he will end up j=
umping back to cassandra when he gets enough customers (or a VC) but for no=
w the running costs are too much to pay from his own pocket... note that th=
e jdbc driver and cql will make jumping back easy for him (as he still test=
s with c*... just runs at present against mysql.... nuts eh!)</p>

<p>- Stephen</p>
<p>---<br>
Sent from my Android phone, so random spelling mistakes, random nonsense wo=
rds and other nonsense are a direct result of using swype to type on the sc=
reen</p>
<div class=3D"gmail_quote">On 20 Nov 2011 19:07, &quot;Dotan N.&quot; &lt;<=
a href=3D"mailto:dipidi@gmail.com">dipidi@gmail.com</a>&gt; wrote:<br type=
=3D"attribution"><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8=
ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir=3D"ltr">Hi all,<div>my question may be more=A0philosophical=A0than=
 related technically to=A0Cassandra, but please bear with me.</div><div><br=
></div><div>Given that a young startup may not know its product full at the=
 early stages, but that it definitely points to ~200M users,</div>

<div>would Cassandra will be the right way to go?</div><div><br></div><div>=
That is, the requirement is for a large data store, that can move with prod=
uct changes and requirements swiftly.</div><div><br></div><div>Given that i=
n Cassandra one thinks hard about the queries, and then builds a model to s=
uit it best, I was thinking of</div>

<div>this situation as problematic.</div><div><br></div><div>So here are so=
me questions:</div><div><br></div><div>- would it be wiser to start with a =
more agile data store (such as mongodb) and then progress onto Cassandra, w=
hen the product itself solidifies?</div>

<div>- given that we start with Cassandra from the get go, what is a common=
 (and quick in terms of development) way or practice to change data, change=
 schemas, as the product evolves?</div><div>- is it even smart to start wit=
h Cassandra? would only startups whose core business is big data start with=
 it from the get go?</div>

<div>- how would you do map/reduce with Cassandra? how agile is that? (for =
example, can you run map/reduce _very_ frequently?)</div><div><br></div><di=
v>Thanks!</div><div><br clear=3D"all"><div dir=3D"ltr">--<div>Dotan,=A0<a h=
ref=3D"http://twitter.com/jondot" target=3D"_blank">@jondot</a></div>

</div><br>
</div></div>
</blockquote></div>

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