Graph databases are hot because they tell a story. Natively expressed relations help many technical project managers and data architects to quickly achieve their goals.
There are different graph databases both as functional, as well as deployment capabilities. And the choice you make at the beginning may affect the success of your project at the end.
This webinar focuses on the five most important criteria you should consider when choosing a graph database:
At the end of the webinar you will walk away with a check-list of what to watch for while choosing a graph database. Complementary you will get an overview of the typical use cases of semantic graph databases ( i.e. heterogeneous data integration and “360 view” of enterprise data, information discovery, content enrichment and metadata management), and a map for a safe choice between flavours of one of the leading semantic graph databases – GraphDB by Ontotext – from free edition and single-node deployments to high-availability clusters and fully managed database-as-a-service in the Cloud.
As the tech captain of Ontotext, Marin Dimitrov closely follows the technology trends. His sharp mind can explain complex things in a simple way, making him an invaluable resource in big data world. Marin is a frequent speaker on conferences, meetups and other technology related events.