Kingsley,
I'm referring to this article:
http://hypertable.com/case_studies/sehrch.html. In that article, a certain
method is utilized that mimics only a subset of SPARQL at the benefit of
achieving a higher performance and in the context of that article
specifically, by higher performance I mean faster bulk load speed for
DBPedia datasets.
I love virtuoso, I only wish the opensource edition had *some *kind of
replication at least.
Parsa
On Wed, Jan 16, 2013 at 2:26 PM, Kingsley Idehen <[email protected]>wrote:
> On 1/16/13 8:10 AM, Parsa Ghaffari wrote:
>
> Hi folks,
>
> I'm curious if anyone has successfully loaded the DBPedia dataset into a
> DBMS other than Virtuoso (NoSQL or otherwise). If so, how has it been? How
> did it compare to virtuoso overall and more specifically in performance,
> scaling, etc.
>
> I read an article once about somebody loading the dataset into
> HyperTable which seemed pretty limiting in general query flexibility but
> was more performant.
>
>
> I can't understand your comment. What do you mean by:
>
> 1. more performant?
> 2. limited query flexibility?
>
> If you want performance clarity I suggest you simply post the query that
> lead you to the perspective outlined in your comments. Basically, a query
> run against both DBMS engines with DBpedia loaded.
>
> Kingsley
>
>
> Thanks,
>
> Parsa
>
>
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>
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