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 makes ...

Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph database vendor Neo4j announced today new capabilities for vector ...

Just as the social graph emerged over the last 10 years as a valued platform for our digital lives, the next decade could signal the emergence of our personal experience graph — connected data of what ...

MENLO PARK, Calif.--On the surface, Facebook's new Graph Search is touted as a new method to enable more connections between people and content worldwide. It turns out what is making all of that ...

MENLO PARK, CALIF. --On the surface, Facebook's new Graph Search is touted as a new method to enable more connections between people and content worldwide. It turns out what is making all of that ...