Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

Model, store and query complex customer data So does it make sense for CIOs to use both relational databases and graph databases? Or should they standardize across the enterprise on one or the other?

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

As you might have noticed, there isn’t any new information in the graph data model that we couldn’t capture in a traditional relational data model. After all, it’s simple to describe ...

RDF is a graph data model that has ... predictability in working with lower data abstraction levels. In relational, you operate with the physical data model instead of the logical model like ...

folders and the people who owned all that content in a relational database. On a flight to Mumbai, he picked up a napkin and drew what is known today as the property graph model, laying the ...

That led to the development of relational ... of data has become so important, developers began looking at graphs as a better way to model data. Researchers built prototypes of graph databases ...

Although it’s still a relational database at its core, it’s based on an object-oriented data model with a strict graph schema and modern query language to ensure ease of use. As the company ...

Read now Fifty years ago, relational ... it seems graph databases are the ones enjoying the widest popularity right now. Proponents claim graph is the most natural way to model the world, and ...

At the recent Cloud Next conference in Tokyo, Google announced Spanner Graph, a managed feature that integrates graph, relational ... bind (i.e., postpone) data model choices and use the best ...