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From Models to Digital Twins

The evolving needs of industry demand models that not only depict what has happened or is happening but also predict what will happen in the future, empowering informed decision-making. In this context, digital twins have emerged, catalyzing profound industrial transformations.

Graphs as Enhancers of Digital Twins

  • Apt and Strong Data Infrastructure
  • High-Performance Computing Power

Apt and Strong Data Infrastructure

table-vs-graph

Running in the background of most notable search engines and services such as Google and Facebook, graphs are characterized by excelling at managing highly heterogeneous, dynamic and complex data. Ultipa Graph allows for flexible data modelling, and is agile in adapting to the changes in the modelling along continuous iterations.

High-Performance Computing Power

ultipa-htap

The realization of the full promise of digital twins relies heavily on a robust computing power, particularly the in-memory HTAP (Hybrid Transactional/Analytical Processing) architecture, as exemplified by Ultipa Graph v4.x.

CASE STUDY

Smart Building Digital Twins

Smart buildings aim to create a comfortable, secure and sustainable space for occupants while enhancing the energy efficiency to minimize the environmental impact and operational expenses. Towards this direction, the digital twin can be used to virtually replicate the static and dynamic facets of a building across its entire lifecycle - from design, construction to operation and maintenance.

Download Solution
general-concept-of-developing-a-smart-building-digital-twin

Solving Data Diversity with Ultipa

It’s the wealth of data that empowers digital twins to address problems with unprecedented possibilities and insights. Meanwhile, the same data diversity tangles with digital twin creators, leading to frustrations related to unification, efficiency and scalability. Graph databases come to the rescue by delivering a flexible and high-dimensional data infrastructure and next-generation computing power, presenting exciting opportunities to uncover more high-value use cases.

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