On 2/7/23 1:57 PM, Samuel Klein wrote:
Ok, so I finally read Tpt's rundown of Blazegraph alternatives, and it's great.  Thank you!


      Press, articles, blog posts, videos

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          o Is there something better than Blazegraph for Wikidata?
            <https://thomas.pellissier-tanon.fr/blog/2023-01-15-wdqs.html>


What's the latest on benchmarking alternatives and future migration?

- WDBench seems actively maintained <https://github.com/MillenniumDB/WDBench>; any narrative update since last year's paper? Is something else used internally? - The WDQS backend updates <https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service/WDQS_backend_update> last year were informative.  Are there updated risk projections + timelines?


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All,

For the record, the following is inaccurate:

Virtuoso is a SPARQL implementation developed for more than a decade by a small company, OpenLink Software. It is at its core a SQL database targeting OLAP workloads with a layer on top converting SPARQL to SQL. It seems to provide great performances, powering very large endpoints like Uniprot. *However, according to WDQS Backend Alternative work, Virtuoso is also tuned for bulk-load with high-frequency read, and not for read/write.* But, this is also the case with Blazegraph. So, it might be interesting to do a good benchmark to see if it actually outperforms Blazegraph or not.

Virtuoso is a high-performance and scalable multi-model DBMS with a very strong OLTP pedigree -- FWIW .

We will soon be releasing pre-loaded and pre-configured Wikidata instance editions for both the AWS and Azure clouds that anyone can test for themselves.

--
Regards,

Kingsley Idehen 
Founder & CEO
OpenLink Software
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