MobiGS Multi-Graph System

Highlights of the technical architecture

• Native Multi-Model Compatibility

  Layered architecture supports RDF, property graphs, etc. 12 engines collaborate under unified constraints for multi-semantic consistency.

• 100B+ Node Real-Time Inference

  GQL-Bridge enables cross-query conversion; paired with incremental embedding, it supports online reasoning over 100B+ nodes, auto-generating versioned DAGs.

• Zero-Trust Security Architecture

  OPA+ReBAC for fine-grained authorization, meeting zero-trust requirements in finance, healthcare, etc.

Core Competencies

• Multi-Model Fusion

  • Supports RDF, Property, and Labelled Property Graphs

  • 12 engines under unified SHACL + OWL-RL semantics

• Intelligent Reasoning

  • Query bridging: Cypher/SPARQL → Gremlin

  • Embedding: GraphSAGE + R-GCN

  • Online reasoning at billion-scale

• Secure Orchestration

  • Auto-generates DAG task graphs

  • Fine-grained auth with OPA + ReBAC

MobiGS vs Traditional Graph Engines

• MobiGS

  • Model Compatibility

    Natively supports RDF + Property Graph + Labelled Property Graph

  • Reasoning Ability

    12 engines + GNN - enhanced path ranking

  • Node Scale Support

    Real - time reasoning for tens of billions of nodes

  • Cross - Query Language Support

    GQL - Bridge automatically converts multiple languages

  • Security and Compliance

    OPA+ReBAC fine - grained authorization, zero - trust compatible

• Traditional Graph Engines

  • Model Compatibility

    Only supports a single graph model

  • Reasoning Ability

    Basic rule - based reasoning, without deep - learning integration

  • Node Scale Support

    Performance bottlenecks occur with tens of millions of nodes

  • Cross - Query Language Support

    Only supports a single query language

  • Security and Compliance

    Basic role - based permissions, no cross - domain security design