1. A process for organizing data from multiple heterogeneous data sources in a knowledge hypergraph, the knowledge hypergraph being accessible by multiple unrelated analytics operating on one or more analytics engines, the process comprising: receiving a first data set from a first data source at a first of multiple hypergraph servers; graphing by the first of multiple hypergraph servers first data from the first data set in a knowledge hypergraph in accordance with a knowledge model (M), the knowledge hypergraph being defined by hypergraph elements including hypervertices and hyperedges, wherein attributes of the first data are represented in the hypergraph by first state vectors affixed to one or more hypergraph elements; receiving a second data set from a second data source at a second of multiple hypergraph servers; graphing by the second of multiple hypergraph servers second data from the second data set in the hypergraph, wherein attributes of the second data are represented in the hypergraph by second state vectors affixed to one or more hypergraph elements; further wherein at least one of the first state vectors and at least one of the second state vectors is affixed to the same hypergraph element; receiving at the first hypergraph server from a first of the one or more analytics engines a search request initiated by a first analytic and directed to the hypergraph; and querying by the first hypergraph server the hypergraph, wherein query results include attributes from both the first data and the second data; wherein the hypergraph exists as a distributed entity across the multiple hypergraph servers and further wherein the multiple hypergraph servers communicate peer-to-peer regarding the knowledge hypergraph using a defined hypergraph transfer protocol (HGTP).