Trinity Graph Engine is an open-source distributed graph database optimized for machine learning and deep learning applications. It enables storing large-scale graph structured data and running fast graph algorithms.
Trinity Graph Engine is an open-source distributed graph database optimized for machine learning and deep learning applications. It enables storing large-scale graph structured data and running fast graph algorithms.
What is Trinity Graph Engine?
Trinity Graph Engine is an open-source, distributed graph database purpose-built for machine learning and deep learning workloads. It allows storing massive-scale graph structured data and running high-performance graph algorithms at scale.
Key capabilities and benefits of Trinity Graph Engine include:
Distributed architecture for scalability and high availability
Native support for common graph operations like traversals, aggregations, recommendations
Optimized for running graph neural networks and other graph ML models
Flexible data model to represent wide variety of connections and attributes
Easy integration with popular data science stacks like TensorFlow, PyTorch, and pandas
Can process trillion-edge scale graphs on clusters with commodity hardware
With its specialized graph data platform and machine learning features, Trinity Graph Engine significantly accelerates development and execution of graph analytics and graph deep learning applications across a variety of use cases like fraud detection, recommendations, knowledge graphs, and cybersecurity.
Trinity Graph Engine Features
Features
Distributed graph database
Optimized for machine learning and deep learning
Supports storing large-scale graph structured data
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