Features

  • In-Memory Storage: High-speed data processing.
  • Graph Algorithms: Built-in support for various graph algorithms.
  • Scalability: Handles large-scale graph data.
  • Integration: Connects with various data sources and tools.

Benefits

  • Performance: Fast query execution and data processing.
  • Scalability: Supports large and complex graph datasets.
  • Flexibility: Adapts to diverse graph use cases.
  • Insightful: Provides real-time graph analytics.

Use Cases

  • Social network analysis.
  • Fraud detection.
  • Real-time recommendation systems.
  • Network and IT operations.

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