RDF Data Management in the Cloud with GraphDB™

A couple of weeks ago Ontotext released a version of its GraphDB™  Standard triplestore (RDF database) on the AWS cloud, as part of the Self-Service Semantic Suite (S4) commitment to provide easy, on-demand and pay-per-use access for semantic metadata management.

GraphDB™ Standard is a leading triplestore that can perform semantic inferencing and querying at a large scale, with full SPARQL 1.1 support and reasoning over RDFS, OWL 2 RL and OWL 2 QL profiles, support for custom rule-sets, very efficient retraction of inferred statements upon updates, and support for geo-spatial queries within SPARQL.

The cloud version of GraphDB™ Standard is available via the AWS Marketplace and can be instantly launched with a few clicks.   Users select the cloud region (datacenter), the EC2 instance type on which the database will be provisioned, configuring the size and I/O performance of the network attached storage, and security and access control. More technical details on using GraphDB in the Cloud are available from the S4 documentation website.

GraphDB-S4

The pricing for GraphDBTM Standard running on AWS is based on the capabilities of the hardware on which the database will be deployed. It is as follows:

EC2 instance type Virtual cores RAM (GB) GraphDB cost (hour) EC2 cost (hour)
M3-L 2 8 $0.35 $0.14
R3-L 2 15 $0.40 $0.175
R3-XL 4 30 $0.75 $0.35
R3-2XL 8 61 $1.40 $0.70

(Note that when deploying GraphDBTM on reserved instances the EC2 cost will be 30-40% lower than the baseline)

Running GraphDBTM Standard in the cloud opens up many opportunities including but not limited to the following:

  • Enterprises in the early phases of adopting Semantic Technology now have on-demand access to an RDF database, without the need to provision hardware and commit to software licenses when evaluating the technology and developing proof-of-concept prototypes.
  • Startups can begin using the GraphDB database in the Cloud in order to avoid upfront investments and later – when their user base and cashflow grows – can migrate to an on-premise deployment.
  • Developers can provision their database within seconds on four different server configurations for testing, benchmarking and optimisations.
  • Organisations have instant access to an enterprise grade RDF database and pays only when it is being used
  • Everyone has instant access at any time to the latest version of the GraphDB software, with its new features and performance improvements, without the need to upgrade licenses and install the software.

 

We also have exciting plans for GraphDB™ in the Cloud! In the near future – as part of the Self-Service Semantic Suite (S4) – we will be deploying a fully managed database-as-a-service (DBaaS) version of GraphDB™ where customers will have reliable 24/7 access to their data repositories in the Cloud without the need to configure, operate, monitor and backup a database instance on their own.

Marin Dimitrov

Marin Dimitrov

CTO at Ontotext
As the technological captain of Ontotext, he is leading the company on the right tech route and reserving our spot on the map of the world. His sharp mind can explain complex things in a simple way, making him an invaluable resource in semantics. Marin is a frequent speaker on semantic conferences and open data meetups at various technology related events.
Marin Dimitrov

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