An Intellyx Brain Candy Brief
First-generation graph databases are storage-centric. The second generation brought compute-centricity without real-time processing.
TigerGraph is bringing to market a third-generation graph database technology that uses massive parallelization to offer high performance, real-time computation. In addition, it offers ‘deep link analytics,’ which means it can traverse hundreds of millions of vertices/edges per second per machine across a complex graph structure, empowering deeper, faster processing of graph-based data than any of its competitors.
Key use cases include fraud detection, anti-money laundering, ecommerce recommendation engines, and natural language processing – common use cases for graph databases that TigerGraph takes to the next level.
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