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From <leon_mcl...@tutanota.com>
Subject Re: Storm unique strengths
Date Wed, 01 Jun 2016 09:43:40 GMT
Hi Aaron,

thank you very much for the link. I found it quite insightful. It is one of 
the few benchmarks i have encountered where Storm comes out on top in terms 
of latency, although the at-most once trade-off is quite harsh.

Regards
Leon

31. May 2016 15:37 by Aaron.Dossett@target.com:


> Hi Leon,
> This isn’t an advocacy piece per se, but this analysis by several member of 
> the Storm community may be helpful.  For a particular use case you can 
> compare performance and then assess whether the features, 
> user-friendliness, or API of a particular framework is worth switching to.
> https://yahooeng.tumblr.com/post/135321837876/benchmarking-streaming-computation-engines-at
> From: > "> leon_mclare@tutanota.com> " <> leon_mclare@tutanota.com>
>
> Reply-To: > "> user@storm.apache.org> " <> user@storm.apache.org> >
> Date: > Monday, May 30, 2016 at 3:28 AM
> To: > "> user@storm.apache.org> " <> user@storm.apache.org> >
> Subject: > Storm unique strengths
>
> Hi Storm team,
>
> there are a lot of online comparisons between Storm and other Data Stream 
> Management Systems, yet few of them originate from Storm 
> committers/advocats.
> I am trying to identify the aspects that Storm possesses, which make it 
> stand out among its direct competitors. Currently there is significant 
> competition from Apache Flink, although less so from Spark due to its 
> seconds latency restriction.
>
> From my experience Storm offers a unique support for DSLs, as well as a 
> very flexible concept of Spouts and Bolts. Other aspects however seem to 
> have been improved upon by Flink in greater part.
>
> Would you be able to direct me to resources that argue more towards Storm's 
> case?
>
> Thanks in advance.
>
> Leon
> 
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