If my memory serves me well, the Open Source version of Virtuoso doesn't
have certain scalability features that would be necessary to run a graph as
large and dynamic as Wikidata's. Is this information out-of-date?

Cheers,
Denny

On Tue, Sep 24, 2024 at 10:35 PM Kingsley Idehen via Wikidata <
[email protected]> wrote:

> Hi Everyone,
> On 9/6/24 11:46 AM, Samuel Klein wrote:
>
> On Fri, Sep 6, 2024 at 4:52 AM Luca Martinelli [Sannita@WMF] <
> [email protected]> wrote:
>
>> no "magic solution" exists, each comes with its load of problems and
>> costs
>
>
> Given the reload speed, approach to more continuous updating
> <https://github.com/ad-freiburg/qlever/wiki/QLever-support-for-SPARQL-1.1-Update>,
> and recent performance
> <https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/WDQS_backend_update/WDQS_backend_alternatives#A_Report_on_Using_QLever>
>  benchmarks
> <https://github.com/ad-freiburg/qlever/wiki/QLever-performance-evaluation-and-comparison-to-other-SPARQL-engines>
>  from
> the page you referenced, QLever seems pretty magical.  [it was less so when
> the initial evaluation of backend alternatives came out]  It's also cheap
> enough to run at home that some people are scratching their own itch now
> when they have queries that time out on WDQS, as Peter highlights.
>
> Iterating on that benchmark until no one has any concerns with
> its applicability to our use case seems like a short-term high-return
> investment.    SJ
>
>
> Is there a place where SPARQL URLs for the various benchmarks are
> collated? SPARQL makes transparency dead easy via SPARQL URLs.
>
> I am also very interested in what "numerous hurdles" is supposed to imply
> regarding Virtuoso when its installation boils downs to;
>
> 1. Run an installer (you don't even need to build its Open Source Edition
> binary).
>
> 2. Start server
>
> 3. Start interacting with SPARQL via the instance endpoint.
>
> --
> Regards,
>
> Kingsley Idehen       
> Founder & CEO
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