As an example, “any company that ships stuff is tapping into this global fine-grain mesh spanning continent to continent,” he suggested. Yet, inter-connected complexity is creeping in everywhere, and that’s where Eifrem believes Neo4j has a durable edge. In the past, most business analysis was built on relational databases. “We have a deep developer community of hundreds of thousands of developers actively building applications with Neo4j in any given month, but we also have a really deep data science community,” he said. Graph-based data models have become central to modern machine learning and artificial intelligence applications, and are now widely used by data analysts in applications as diverse as marketing to fraud detection.ĬEO and co-founder Emil Eifrem said that Neo4j, which was founded back in 2007, has hit its growth stride in recent years given the rising popularity of graph-based analysis. What makes graph databases like Neo4j unique is their focus on the connections between individual data entities. The past decade has seen a whole new crop of next-generation database models, from scale-out SQL to document to key-value stores to time series and on and on and on. Meanwhile, Cockroach Labs of CockroachDB fame has now raised $355 million in funding, including a $160 million round earlier this year at a similar $2 billion valuation. For comparison, MongoDB, which trades on Nasdaq, raised $311 million in total (according to Crunchbase) before its IPO. That funding makes Neo4j among the most well-funded database companies in history, with a collective fundraise haul of more than half a billion dollars.
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