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.
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)|
(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:
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.