Our blog post from June was about the beta version of the RDF graph Database-as-a-Service (available on the Self-Service Semantic Suite platform), which is based on one of the leading enterprise RDF databases: GraphDB by Ontotext. The RDF graph DBaaS on S4 is the perfect solution for use cases with small or medium database sizes and query loads, where investing in software licenses as well as provisioning and maintaining an on-premise 24/7 server is not cost-effective.
Recently, the GraphDB team released the newest version 6.3 of the database engine, with important bug fixes and performance improvements. As of yesterday, the newest 6.3 database engine is also available to all developers who are using the RDF graph DBaaS on the S4 platform. The upgrade was performed without any service interruptions, so that the applications using the databases were not disrupted.
This seamless upgrade demonstrates the convenience of using a fully managed database-as-a-service: developers can have their private RDF graph database instance up and running within seconds, plus they no longer need to spend valuable time on software upgrades. Whenever a new and improved version of the GraphDB database is released, the database instances running on S4 will also be upgraded, without any service downtime and disruptions.
As a reminder, last month we held the webinar “On-demand RDF Databases in the Cloud” where we demonstrated how to instantly create an RDF graph database-as-a-service on S4, and then use 3rd party tools to manage data: import & query data with the OpenRDF Workbench, and explore & visualise data with the Metreeca Graph Rover.
If you haven’t already done so, register for a free developer account for the Self-Service Semantic Suite (S4), take a look at the developer’s documentation, configure your own RDF graph database in the Cloud and start building smart data prototypes with RDF and SPARQL!