I think as long as the two frameworks follow the same paradigm for how their 
interfaces work it’s fine to have 2 competing frameworks. This way the 
frameworks have some motivation
to be the best at what they do rather than being the only choice whether you 
like it or not. They also seem to have some differing opinions about how to do 
certain things leaving me to believe
that the 2 projects exist mostly because of disagreements on fundamentals about 
how a system such as this should be built and scaled out.

I think spark should definitely take what it can from these projects, but 
otherwise they should remain separate projects going their own way.

Steve


> On Apr 29, 2015, at 8:01 PM, Sree V <sree_at_ch...@yahoo.com.INVALID> wrote:
>
> I agree, Ewan.
> We should also look into combining both Flink and Spark into one.This eases 
> the industry adaptation instead.
>
> Thanking you.
>
> With Regards
> Sree
>
>
>     On Wednesday, April 29, 2015 3:21 AM, Ewan Higgs <ewan.hi...@ugent.be> 
> wrote:
>
>
> Hi all,
> A quick question about Tungsten. The announcement of the Tungsten
> project is on the back of Hadoop Summit in Brussels where some of the
> Flink devs were giving talks [1] on how Flink manages memory using byte
> arrays and the like to avoid the overhead of all the Java types[2]. Is
> there an opportunity for code reuse here? Spark and Flink may have
> different needs in some respects, but they work fundamentally towards
> the same goal so I imagine there could be come worthwhile collaboration.
>
> -Ewan
>
> [1] http://2015.hadoopsummit.org/brussels/speaker/?speaker=MrtonBalassi
> http://2015.hadoopsummit.org/brussels/speaker/?speaker=AljoschaKrettek
>
> [2]
> https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=53741525
> https://flink.apache.org/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html
>
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