TigerGraph’s native parallel graph architecture and real-time deep link analytics aim to provide the following advantages: Faster data loading to build graphs quickly Faster execution of ...

The core problem impacting parallel but non-native systems like Giraph is that they cannot be updated easily. Giraph, Xu says, “can handle much bigger datasets than Neo4j but you cannot update the ...

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 ...

TigerGraph's new eBook "Native Parallel Graph: The Next Generation of Graph Database for Real-Time Deep Link Analytics," discusses what developers need to learn and leverage the power of scalable and ...

TigerGraph, a recent arrival, is a “real-time native parallel graph database.” TigerGraph is available for deployment in the cloud or on-premises, it scales both up and out, it automatically ...

s conclusion: “The . . . graph, charting this parallel record of the expanding ... Contact us at [email protected] ...

Native parallel graph databases combine these three types of data in real time to deliver the four strategic imperatives. They deliver consistently high quality of care while controlling costs ...

What’s old is new again with the PIUMA project, and this time the processor is more modest but ... the researchers working on the HIVE project realized that graph jobs were not just massively parallel ...

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to ...