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Drill, mail # dev - Presto -> SQL engines for HDFS ?


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simon.2.thompson@... 2013-11-07, 07:55
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Tom Seddon 2013-11-07, 10:33
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Re: Presto -> SQL engines for HDFS ?
Michael Hausenblas 2013-11-07, 10:40

> There's a comparison of a few of these in this document.  Perhaps Presto
> needs to be added.
>
> http://online.liebertpub.com/doi/pdfplus/10.1089/big.2013.0011
Good point. Might create a GDocs around that …

Cheers,
Michael

--
Michael Hausenblas
Ireland, Europe
http://mhausenblas.info/

On 7 Nov 2013, at 10:33, Tom Seddon <[EMAIL PROTECTED]> wrote:

> There's a comparison of a few of these in this document.  Perhaps Presto
> needs to be added.
>
> http://online.liebertpub.com/doi/pdfplus/10.1089/big.2013.0011
>
>
> On 7 November 2013 07:55, <[EMAIL PROTECTED]> wrote:
>
>> Hi there,
>>
>> the appearance of Presto stimulates a thought that a list and overview of
>> engines of this sort would be jolly useful for general understanding and
>> management of FUD in the enterprise....
>>
>> I think that these engines are purposed for responsiveness for queries
>> that can be written to generate relatively little interconnect traffic on a
>> cluster.
>>
>> I know of :
>>
>> Drill (doh)
>> Impala
>> Presto
>> Gryphon (uses H-BASE?)
>> HAWK
>> BlinkDB (slightly different, uses bootstrapping for aggregates)
>>
>> I believe that Stinger should be thought of as something else -
>> optimisations of an engine purposed for large scale queries.
>>
>> Is this view close to correct?
>>
>> Can anyone elucidate on the statements about Impala doing record
>> materialisation where as other engines do vectorization? Is vectorization
>> query rewriting for parallelism?
>>
>> How do the folk in the Drill project see the plethora of efforts? Does
>> anyone have a view as to why there are so many engines appearing?
>>
>> Best
>>
>> Simon
>>
>> ----
>> Dr. Simon Thompson
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>> BT Research.
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