1. DataGraft Platform: RDF Database-as-a-
Service
Open Data Workshop @ Oslo
July 2nd, 2015
http://dapaas.eu/
Marin Dimitrov, Ontotext (Bulgaria)

2. DataGraft Open Data Platform
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3. DataGraft Open Data Platform
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4. The Role of a RDF DBaaS
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Grafter Grafterizer
RDF DBaaSOpen Data Portal
• Transform tabular data into RDF
• Publish (Linked) data services,
instead of static datasets
• Lower-cost & easier data
publishing process

5. RDF DBaaS Requirements
• Elastic
– dynamically adapt to growing data & query volumes
• High availability & resilience
– no SPFs, “graceful degradation” upon failures
• Cost efficient
• Host a large number of data services (databases)
– But probably of low/moderate data & query volume
• Security & isolation of the multi-tenant databases
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Not easy to
achieve all three!

6. Cloud Architecture (AWS)
• AWS based
– Network storage, compute & auto-scaling, load
balancing, integration services, …
• Ontotext GraphDB as the RDF DB engine
– OpenRDF REST API
• Docker for containerisation
• An RDF DBaaS is…
– A GraphDB instance…
– Running within a Docker container…
– Storing its data on a private NAS (EBS) volume
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7. Cloud Architecture (AWS)
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Elasticity vs
High Availability vs
Cost Efficiency

8. Dealing with Failures
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our responsibility
CSP responsibility

9. Evaluation
• Elastic
– Routing nodes, data nodes + NAS storage grow as
usage grows
• High availability & resilience
– Strategies for dealing with failures in data, routing,
Coordinator nodes
• Cost efficient
– Cloud native architecture -> cost savings
– Multi-tenant model -> cost savings
– Elastic: return under-utilised or unused resources
back to CSP
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10. OpenRDF REST API
resource operations comments
/repositories GET Get info on DB repos
/repositories/<REPOSITORY> GET, POST, PUT, DELETE Create*, delete, query a
repository
/repositories/<REPOSITORY>/size GET Gets the number of triples
in a repository
/repositories/<REPOSITORY>/statements GET, POST, PUT, DELETE Add, read, update, delete
statements
repositories/<REPOSITORY>/rdf-graphs/<GRAPH> GET, POST, PUT, DELETE Same as above
/settings GET, PUT Configure the DBaaS*
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11. Standards Compliant
• Standard SPARQL endpoint, Linked Data point
• Variety of 3rd party tools can be used to query, explore or
visualise Open (Linked) Data
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12. Standards Compliant (3rd Party Tools)
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13. Standards Compliant (3rd Party Tools)
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14. Benefits
• Enables live data services instead of static data files
• Data publishers don’t need to worry about
infrastructure (databases, availability, cloud)
• Developers get reliable access to data services,
simple APIs, can use various 3rd party tools
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15. http://dapaas.eu
@dapaasproject
dapaas-platform@googlegroups.com
Thank you!
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