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1
RDF Needs Better Database
 Database science is all one, laws of physics
apply to all
 RDF is relational in spirit, with some extra
complications
 To realize RDF’s potential, it must meet the best
in databasing, no separation of communities and
no reinventing wheels
© 2013 OpenLink Software, All rights reserved.
2
Virtuoso 7 Brings the Best of an
Analytics DB to RDF
 Column store, 6 to 14 bytes a quad, depending
on data, 3x more compact than before
 Vectored execution Get the best of the metal,
take advantage of locality 3x the thread speed
over previous
 Intra-query parallelization everywhere
 Scale out with flexible deployment, more parallel
© 2013 OpenLink Software, All rights reserved.
3
State Of Play
 Star Schema Benchmark
 Single Server, 30G
 Virtuoso SQL: 8.9s
 MonetDB SQL: 18.9s
 Virtuoso SPARQL: 45.4s
 2 Node Cluster, 300G
 Virtuoso SQL: 43.4s
© 2013 OpenLink Software, All rights reserved.
4
State Of Play (continued)
 Run with RDF in Virtuoso and run circles around
many RDBMS
 Use task-specific schema for performance on the
level of the best in SQL analytics
 Gap between SPARQL (schema-less) and SQL
(schema-first) closing
 now 5x, going to 3x
 parity is reachable via self-tuning physical data layout
© 2013 OpenLink Software, All rights reserved.
5
Big data is not only queries
 Many things (e.g., graph analytics) cannot be
expressed as queries
 Data preparation and ETL pipeline
 Map reduce and
 Bulk Synchronous Processing (BSP) frameworks
 Virtuoso can do all that with parallel SQL
procedures and Java hosting
© 2013 OpenLink Software, All rights reserved.
6
Future convergence
 RDF is, in the end, about relations
 The URI, the Superkey, is the ultimate silo
breaker
 Get Schema-less flexibility, self-describing data,
and schema first performance, through adaptive
physical layout
 Open RDF data for use by the SQL tool chain
© 2013 OpenLink Software, All rights reserved.
6
Future convergence
 RDF is, in the end, about relations
 The URI, the Superkey, is the ultimate silo
breaker
 Get Schema-less flexibility, self-describing data,
and schema first performance, through adaptive
physical layout
 Open RDF data for use by the SQL tool chain
© 2013 OpenLink Software, All rights reserved.

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ESWC 2013 Panel - Semantic Technologies for Big Data Analytics: Opportunities and Challenges

  • 1. 1 RDF Needs Better Database  Database science is all one, laws of physics apply to all  RDF is relational in spirit, with some extra complications  To realize RDF’s potential, it must meet the best in databasing, no separation of communities and no reinventing wheels © 2013 OpenLink Software, All rights reserved.
  • 2. 2 Virtuoso 7 Brings the Best of an Analytics DB to RDF  Column store, 6 to 14 bytes a quad, depending on data, 3x more compact than before  Vectored execution Get the best of the metal, take advantage of locality 3x the thread speed over previous  Intra-query parallelization everywhere  Scale out with flexible deployment, more parallel © 2013 OpenLink Software, All rights reserved.
  • 3. 3 State Of Play  Star Schema Benchmark  Single Server, 30G  Virtuoso SQL: 8.9s  MonetDB SQL: 18.9s  Virtuoso SPARQL: 45.4s  2 Node Cluster, 300G  Virtuoso SQL: 43.4s © 2013 OpenLink Software, All rights reserved.
  • 4. 4 State Of Play (continued)  Run with RDF in Virtuoso and run circles around many RDBMS  Use task-specific schema for performance on the level of the best in SQL analytics  Gap between SPARQL (schema-less) and SQL (schema-first) closing  now 5x, going to 3x  parity is reachable via self-tuning physical data layout © 2013 OpenLink Software, All rights reserved.
  • 5. 5 Big data is not only queries  Many things (e.g., graph analytics) cannot be expressed as queries  Data preparation and ETL pipeline  Map reduce and  Bulk Synchronous Processing (BSP) frameworks  Virtuoso can do all that with parallel SQL procedures and Java hosting © 2013 OpenLink Software, All rights reserved.
  • 6. 6 Future convergence  RDF is, in the end, about relations  The URI, the Superkey, is the ultimate silo breaker  Get Schema-less flexibility, self-describing data, and schema first performance, through adaptive physical layout  Open RDF data for use by the SQL tool chain © 2013 OpenLink Software, All rights reserved.
  • 7. 6 Future convergence  RDF is, in the end, about relations  The URI, the Superkey, is the ultimate silo breaker  Get Schema-less flexibility, self-describing data, and schema first performance, through adaptive physical layout  Open RDF data for use by the SQL tool chain © 2013 OpenLink Software, All rights reserved.