A Bigger Free Tier for Our Semantic Graph Database-as-a-Service
Faster Smart Data Prototyping with the Self-Service Semantic Suite (S4)
We are happy to announce that since Dec 1st we’ve increased the free tier for the semantic graph database-as-a-service (DBaaS) to 10 million triples!
All the free Micro DBaaS instances which were already running on the Self-Service Semantic Suite (S4) platform were upgraded to the next level – XS DBaaS – without any interruption of the services.
The Benefits of a Semantic Graph Database
The typical data management challenges that a graph database is well suited for include:
- Integration of heterogeneous data sources – the Variety aspect of Big Data processing, when structured (relational databases), semi-structured (XML, JSON) on unstructured (free text) data sources need to be interlinked and queried together
- Agile “schema-late” or “schema-less” data management – when it is easier and more feasible to define your data model (schema or ontology) after some data integration was performed, e.g. changing the Extract-Transform-Load process into Extract-Load-Transform one
- Relationship centric use cases – where different objects (people, locations, organisations, digital assets, events, products, topics, etc.) need to be interlinked together, so that efficient exploration, navigation and querying of the information is possible. Alternative approaches are not well suited for such cases – e.g. too many relationship tables and joins in a RDBMS, or very limited means to model and navigate relationships in a NoSQL database like a column store or a document store.
On top of such advantages, the class of semantic graph databases (also called “RDF databases” or “triplestores”) provide additional advantages:
- Richer, semantic model of the data that allows information architects to describe complex data models and reuse/align with existing data models
- Ability to derive new information, based on rules. A semantic graph database provides the benefits of both a DBMS and a rule engine, and the domain specific business logic can be an explicit part of the data model, instead of hidden within custom and complex application-level code
- Ability to easily publish data for and/or consume data from 3rd parties – Linked Data is an approach for publishing & interlinking data on the web, which improves the information interchange between the different departments within the enterprise, or across the organization boundaries
Semantic Graph Database-as-a-Service
Running your semantic graph database as a service (DBaaS) in the Cloud provides even further advantages:
- Time savings – no need to spend time on provisioning and maintaining the infrastructure & software required for the database – the database-as-a-service can be up and running within seconds with just a few clicks
- Cost savings – eliminating the need for complex and slow budgeting processes, with a pay-per-use model where developers pay only for the resources (data volume) that they utilise and can instantly adjust the resources up or down – upgrade or downgrade the database server – based on the current usage needs
- Reduced risk – with no upfront commitments developers can quickly start prototyping with the semantic graph DBaaS for their use cases, but also be free to stop using it at any time if an alternative solution is selected
The DBaaS on the Self-Service Semantic Suite (S4) provides a fully managed semantic graph database, based on our enterprise grade Ontotext GraphDB database. The fully managed DBaaS provides various options, based on developers’ needs:
||Database volume (triples)
The XS database-as-a-service is completely free to developers, so that they can start experimenting with Smart Data prototypes immediately – all maintenance and operations details are taken care of by the S4 platform on behalf of developers.
If you haven’t already done so, register a developer account for the Self-Service Semantic Suite (S4) and get your free fully managed RDF database-as-a-service.
Additional information on the semantic graph DBaaS is available from the S4 documentation website: setup instructions and detailed documentation, sample code, technical papers and webinar recordings.
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.
Latest posts by Marin Dimitrov (see all)