Neo4j Sees Graph Data Science Taking Off Following $325 Million Round

Operational use cases such as fraud prediction and recommendation engines have dominated in Neo4j’s existence up to this point. But following today’s announcement of a $325-million funding round that values the graph database company at over $2 billion, Neo4j expects to see more widespread use of graph algorithms for data science and analytics use cases.

2020 turned out to be a pivotal year for graph databases, just as Neo4j founder and CEO Emil Eifrem predicted back in 2015. But the adoption of graph technologies was significantly accelerated last year by the unpredictable presence of COVID-19, which was tailor-made for graph solutions.

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