The graph structure is acting like a massively parallel computational mesh. The graph is not just your data storage; it is your query or analytics engine as well.

Early generation graph technologies have been unable to support real-time analytics on data that continues to increase in both volume and complexity. This white paper details how Native Parallel Graph ...

TigerGraph’s eBook “Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics,” discusses what developers need to learn in order to leverage the power of graph ...

We consider a sequence of random graphs constructed by a hierarchical procedure. The construction replaces existing edges by pairs of edges in series or parallel with probability p. We investigate the ...

The architecture has also not yet been revealed. Dubbed a ‘graph streaming processor’ is it said to be optimised for the graph (flow-diagram-like) processing needed to train and instance neural ...