Looking to alternatives to Blazegraph (Qlever being one of those) is
definitely on our list of things to do once we have completed our current
project of splitting the graph!

On Fri, 6 Sept 2024 at 17:47, Samuel Klein <[email protected]> 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
>
>
>
>> Hope this helps.
>> L.
>>
>> [2]
>> https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/WDQS_backend_update/WDQS_backend_alternatives
>>
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-- 
*Guillaume Lederrey* (he/him)
Engineering Manager
Wikimedia Foundation <https://wikimediafoundation.org/>
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