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From Azuryy Yu <azury...@gmail.com>
Subject Re: real time analytics on hadoop using spark or storm
Date Sat, 07 Dec 2013 01:27:41 GMT
spark streaming is a mini job, which can update every 150ms, but storm is
long live process.
 On 2013-12-07 9:12 AM, "Jay Vyas" <jayunit100@gmail.com> wrote:

> 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.
>
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> 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
>

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