Compare and contrast RDF triple stores and NoSQL: are triples stores NoSQL or not? Talk given 2011-09-08 tot he BigData/NoSQL meetup at Bristol University.

1. NoSQL and Triple Stores Andy Seaborne

3. Column Stores

6. Distributed

7. Open-source

8. horizontally scalable

9. Schema-free

10. easy replication support

11. simple API

12. eventually consistent / BASE (not ACID)

13. a huge data amount From http://nosql-database.org/

15. Protocol using HTTP

16. RDF “ Ant in Action” title creator Author “ Steve Loughran” name “ 193239480X ” ISBN10 creator Author “ Erik Hatcher” name http://webbooks/b4598

17. RDF “ Ant in Action” title creator Author “ Steve Loughran” name “ 193239480X ” ISBN10 creator Author “ Erik Hatcher” name shop Stock item item $49.99 price ref http://webbooks/b4598

18. RDF “ Ant in Action” title creator Author “ Steve Loughran” name “ 193239480X ” ISBN10 creator Author “ Erik Hatcher” name shop Stock item “ good” item $49.99 price ref creator rating “ Andy Seaborne” http://review.org/review57 http://webbooks/b4598

19. Turtle @prefix : <http://example.org/> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . :Andy a foaf:Person ; foaf:name &quot;Andy Seaborne&quot; ; foaf:mbox <mailto:andy@apache.org> ; foaf:knows :Paolo ; foaf:knows :Steve . :Paolo a foaf:Person ; foaf:name &quot;Paolo Castagna&quot; ; foaf:mbox <mailto:castagna@apache.org> . :Steve foaf:name &quot;Steve Loughran&quot; ; foaf:mbox_sha1 &quot;0678d36518d039a64ee4baba0a568afe535ce5f3&quot; .

20. RDF RDF is a graph Your computer thinks of this is as a logical table (but probably stores it differently) Subject Predicate Object

21. A SPARQL Query Looks Like … @prefix person: <http://example/person/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . person:A foaf:name &quot;Alice&quot; . person:A foaf:mbox <mailto:alice@example.net> . person:B foaf:name &quot;Bob&quot; . PREFIX person: <http://example/person/> PREFIX foaf: <http://xmlns.com/foaf/0.1/> SELECT ?name WHERE { ?person foaf:mbox <mailto:alice@example.net> . ?person foaf:name ?name . } ----------- | name | =========== | &quot;Alice&quot; | -----------

22. A SPARQL Query Looks Like … @prefix dc: <http://purl.org/dc/elements/1.1/> . @prefix stock: <http://example.org/stock#> . stock:book1 dc:title &quot;SPARQL Query Language Tutorial&quot; . stock:book2 dc:title &quot;SPARQL Query Language (2nd ed)&quot; . stock:book3 dc:title &quot;Moving from SQL to SPARQL&quot; . stock:book4 dc:title &quot;Applying XQuery&quot; . PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX stock: <http://example.org/stock#> SELECT ?book ?title { ?book dc:title ?title . FILTER (regex(?title , &quot; SPARQL &quot; )) } -------------------------------------------------- | book | title | ================================================== | stock:book3 | &quot;Moving from SQL to SPARQL&quot; | | stock:book2 | &quot;SPARQL Query Language (2nd ed)&quot; | | stock:book1 | &quot;SPARQL Query Language Tutorial&quot; | --------------------------------------------------

23. SPARQL: All people who know 3 others PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX foaf: <http://xmlns.com/foaf/0.1/> SELECT ?name { { SELECT ?x (count(*) AS ?count) { ?x foaf:knows ?y . } GROUP BY ?x HAVING (?count = 3) } ?x foaf:name ?name . }

24. SPARQL Protocol GET /foo/sparql?query=SELECT (Count(*) AS ?c) { ?s ?p ?o } Accept: application/sparq-results+json GET /foo/sparql?query=SELECT%20%28Count%28%2A%29%20AS%20%3Fc%29%20{%20%3Fs%20%3Fp%20%3Fo%20} { &quot;head&quot;: { &quot;vars&quot;: [ &quot;c&quot; ] } , &quot;results&quot;: { &quot;bindings&quot;: [ { &quot;c&quot;: { &quot;datatype&quot;: &quot;http://www.w3.org/2001/XMLSchema#integer&quot; , &quot;type&quot;: &quot;typed-literal&quot; , &quot;value&quot;: &quot;10&quot; } } ] } }

26. GET, PUT, POST, DELETE

28. Different server http://server/store?graph=http://example/g1 http://server/store?graph=http%3A//example/g1

29. RESTful operation PUT /store?graph=http%3A//example/g1 HTTP/1.1 Host: server.com Content-type: application/rdf+xml <?xml version='1.0' encoding='UTF-8'?> <rdf:RDF xmlns:rdf='...'> ... </rdf:RDF>

31. Some distributed

34. AllegroGraph: 1 Trillion (single, very large machine)