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 ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Key Benefits of a Graph Database . Better, Faster Queries and Analytics: Graph databases offer superior performance for querying related data, big or small. The graph model offers an inherent indexed ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

The flexibility of the graph data model is a key factor driving the recent surge in graph database popularity. The same requirements for availability and massive scale that drove the development ...

RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph ...

Multivalue (NF2, non-first normal form systems): complex data structures with schemas similar to relational database model [Here’s more information about Multivalue databases .] ...

Wrapping a relational database in graph APIs doesn’t work (my team really tried!), and so CIOs are going to have to confront this. Fortunately, there is help at hand for strategic-thinking CIOs.

The NOSQL world is crowded with data stores that offer variations on key-value storage. These so-called aggregate-oriented# stores often have beneficial operational characteristics when compared to re ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...