KingsleyIdehen added a comment.

  For the record.
  
  At the time of our first rendezvous re Wikidata hosting, handling 20 billion+ 
triples would have typically required our Cluster Edition (a Commercial Only 
offering). That was the deal-breaker back at the time of initial Blazegraph 
selection for Wikidata i.e., it offered an Open Source based Cluster Edition.
  
  Anyway, in recent times, our Open Source Edition has evolved to handle some 
80 Billion+ triples (exemplified by the live Uniprot instance 
<https://sparql.uniprot.org/>) where performance and scale is primary a 
function of available memory. Fundamentally, the current 13 Billion Triples 
size of Wikidata and future growth all lie well within the range of Virtuoso's 
Open Source Edition.
  
  Also note, based on our experience hosting live DBpedia and Wikidata 
instances, we do have configuration best practices in place for uptime and 
scalability without the need for our Cluster Edition (which is really for 
dealing with massive setups in the 100 Billion Triples or higher range).
  
  I hope this helps.
  
  **Related**
  
  [1] Our Live Wikidata SPARQL Query Endpoint 
<https://wikidata.demo.openlinksw.com/sparql>
  [2] Google Spreadsheet about various Virtuoso Configurations associated with 
some well-known public endpoints 
<https://docs.google.com/spreadsheets/d/15AXnxMgKyCvLPil_QeGC0DiXOP-Hu8Ln97fZ683ZQF0/edit#gid=0>
  [3] This query doesn't complete with the current Blazegraph-based Wikidata 
endpoint <https://t.co/EjAAO73wwE>
  [4] Same query completing when applied to the Virtuoso-based endpoint 
<https://t.co/GTATPPJNBI>
  [5] About loading Wikidata's datasets into a Virtuoso instance 
<https://t.co/X7mLmcYC69>
  [6] Various demos shared via Twitter over the years regarding Wikidata 
<https://twitter.com/search?q=%23Wikidata%20%23VirtuosoRDBMS%20%40kidehen&src=typed_query&f=live>
 
  [7] Uniprot SPARQL Endpoint Presentation <https://t.co/EpuP27TFRE?amp=1>

TASK DETAIL
  https://phabricator.wikimedia.org/T206560

EMAIL PREFERENCES
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