Mailing-List: contact user-help@hadoop.apache.org; run by ezmlm
Precedence: bulk
Reply-To: user@hadoop.apache.org
Received-SPF: pass (athena.apache.org: domain of jayunit100@gmail.com
 designates 209.85.214.173 as permitted sender)
MIME-Version: 1.0
In-Reply-To: 
 <CAMOW4CM87uJKwV3C02Wm0tCAYJWyDbw=N3oZT_Qu_SBpTFCKWQ@mail.gmail.com>
References: 
 <CAMOW4CM87uJKwV3C02Wm0tCAYJWyDbw=N3oZT_Qu_SBpTFCKWQ@mail.gmail.com>
Date: Fri, 6 Dec 2013 20:11:43 -0500
Message-ID: 
 <CAAu13zH=WZ6DTBhxr1_T0KnOwro6CAQU30PKRZvdGJYEmG-xNg@mail.gmail.com>
Subject: Re: real time analytics on hadoop using spark or storm
From: Jay Vyas <jayunit100@gmail.com>
To: "common-user@hadoop.apache.org" <user@hadoop.apache.org>
Content-Type: multipart/alternative; boundary=047d7b5d42f82929c604ece7720c

--047d7b5d42f82929c604ece7720c
Content-Type: text/plain; charset=ISO-8859-1

Spark increases performance by using distributed shared memory.

Storm on the other hand gives you realtime performance by processing data
sets in small batches.

The case for Spark is when you want a more sophisticated data processing.

The case for Storm is when you have large volumes of incoming data and you
want to run a process every 1000 records.

If you want a better comparison, try comparing spark-streaming with storm.


On Fri, Dec 6, 2013 at 7:04 PM, Smarty Juice <smarty.juice@gmail.com> wrote:

> can anyone explain what is the clear difference between spark and storm
>
> what are the use case of storm and spark?
>
> can it be used without haddop?
>
> what are the pros and cons of running with or without hadoop?
>
> thanks
>
>


-- 
Jay Vyas
http://jayunit100.blogspot.com

--047d7b5d42f82929c604ece7720c
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<div dir=3D"ltr">Spark increases performance by using distributed shared me=
mory. =A0<div><br></div><div>Storm on the other hand gives you realtime per=
formance by processing data sets in small batches.=A0</div><div><br></div><=
div style>
The case for Spark is when you want a more sophisticated data processing.=
=A0</div><div style><br></div><div style>The case for Storm is when you hav=
e large volumes of incoming data and you want to run a process every 1000 r=
ecords. =A0</div>
<div style><br></div><div style>If you want a better comparison, try compar=
ing spark-streaming with storm. =A0</div><div><br></div><div><br></div><div=
><br></div><div><br></div><div><br></div></div><div class=3D"gmail_extra"><=
br>
<br><div class=3D"gmail_quote">On Fri, Dec 6, 2013 at 7:04 PM, Smarty Juice=
 <span dir=3D"ltr">&lt;<a href=3D"mailto:smarty.juice@gmail.com" target=3D"=
_blank">smarty.juice@gmail.com</a>&gt;</span> wrote:<br><blockquote class=
=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padd=
ing-left:1ex">
<div dir=3D"ltr">can anyone explain what is the clear difference between sp=
ark and storm<div><br></div><div>what are the use case of storm and spark?<=
/div><div><br></div><div>can it be used without haddop?=A0</div><div><br></=
div>

<div>what are the pros and cons of running with or without hadoop?</div><di=
v><br></div><div>thanks=A0</div><div><br></div></div>
</blockquote></div><br><br clear=3D"all"><div><br></div>-- <br>Jay Vyas<br>=
<a href=3D"http://jayunit100.blogspot.com" target=3D"_blank">http://jayunit=
100.blogspot.com</a>
</div>

--047d7b5d42f82929c604ece7720c--