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Smart Knowledge Graph

Resembles the work pattern of left-n-right brain, and restores the look of real-world

Knowledge Graphs have been welcomed by more and more businesses and researchers, they are natural to model after the real world problems and present them in easy to consume ways, and usually stored in document databases such as MongoDB, some are stored using traditional RDBMS. Lacking a powerful and instant graph computing engine has bogged down KGs, rendering many graph analytics slow. With Ultipa’s real-time deep traversal capabilities, KGs fly instantly.

Application

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Pain Points

  • Storage & Computing

    Most knowledge graph storage engine are not designed to compute in real-time. This makes graph analytics embarrassingly slow.

  • Visualization & Performance

    Graphical visualization is a must-have with any knowledge graph, but in the era of Enterprise 2.0, most KG visualization are not performance tuned, therefore incapable of handling large amount of data.

Solution Characteristics

  • High Visualization

    Graph is high-dimensional, it’s utterly important and crucial to leverage visualization to not only make your whole operational process painless and visually appealing but also to make the results self-explaining and intuitive.

  • Programmable KG

    Knowledge Graph is a living thing, there are multiple ways to interact with it, one of the most powerful ways is to program against it, i.e., using the powerful yet super-easy uQL to dynamically extract subgraphs out of a much larger KG, the whole process is pain free.

  • Super-Deep Graph Computing

    Unlike today’s most knowledge graph solutions which do NOT have the capacity to compute in real-time and to search deeply within the graph – Ultipa is capable of super-deep graph computing, many hops deeper, it has the capacity to traverse over 1 Billion nodes and edges per second per instance.

Advantages

  • The core competency of Ultipa's storage and computing engine is speed!

  • Ultipa's native graph data modeling is naturally compliant with KGs , and our toolkits are friendly to use even for newbies.

  • Interpretability is essential for potentially sophisticated knowledge graph operations, with Ultipa's native graph computing and high visualization,we white-box AI and KG.