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From Vasiliki Kalavri <vasilikikala...@gmail.com>
Subject Re: Benchmark results between Flink and Spark
Date Mon, 06 Jul 2015 17:43:05 GMT
Hi,

Apart from the amplab benchmark, you might also find [1] and [2]
interesting. The first is a survey on existing benchmarks, while the second
proposes one. However, they are also limited to SQL-like queries.

Regarding graph processing benchmarks, I recently came across Graphalytics
[3]. The benchmark currently supports Giraph, GraphLab, Graph-X, MapReduce
and Neo4j. I hope we can add Gelly to this list soon!

Unfortunately, I'm not aware of any large-scale ML or streaming benchmarks.

Cheers,
Vasia.

[1]: http://arxiv.org/pdf/1402.5194.pdf
[2]:
http://msrg.utoronto.ca/publications/pdf_files/2013/Ghazal13-BigBench:_Towards_an_Industry_Standa.pdf
[3]: http://event.cwi.nl/grades2015/07-capota.pdf

On 6 July 2015 at 19:03, Slim Baltagi <sbaltagi@gmail.com> wrote:

> Hi Hawin
>
> What you shared is not 'the Spark benchmark'.
> This benchmark measures response time on a handful of relational queries of
> different tools including Shark.
> Shark development was ended a year ago on July 1, 2014 in favor of Spark
> SQL
> which graduated from an alpha project on March 13, 2015.
> I am not aware of any published benchmark between Spark and Flink by a
> third
> party except the one that I shared from a conference paper:
> http://goo.gl/WocQci
> I hope this helps.
>
> Slim Baltagi
> Apache Flink Knowledge Base ( Now with over 300 categorized web resources!)
> http://sparkbigdata.com/component/tags/tag/27-flink
>
>
>
>
>
>
> --
> View this message in context:
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> Sent from the Apache Flink User Mailing List archive. mailing list archive
> at Nabble.com.
>

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