“Our series B funding will allow us to accelerate our mission to make it even easier to generate real value from data, as well as enter new markets. In this new ArangoDB white paper, learn more about a graph database, why you should choose one, their prominent use cases, and how to go beyond graphs. “ArangoDB’s goal from day one is to make it extremely easy to handle data of any kind,” Weinberger said. With another $27.8 million in the bank, the company said it can accelerate development of its scalable graph analytics and machine learning capabilities while bolstering its headcount across engineering, marketing, product management, sales, and more. Its latest cash injection ushered in a handful of new and old investors, including Bow Capital, Target Partners, and New Forge. The inherent difficulty is to create edges between correct vertices. From the point of view of a graph database each encodes not only a node in a vertex collection (potentially non-unique), but also an edge (hopefully unique). Memgraph this week announced it has raised $9.34 million in a seed funding round led by Microsoft’s M12, and open source newcomer TerminusDB recently closed a $4.3 million seed round to reach commercialization.ĪrangoDB, for its part, had previously raised $19.2 million, including its $10 million series A round from two years ago. For arangodb each type of csv file (blue) was projected on one or more vertex collections (green). There has been a flurry of activity across the graph database space of late, with TigerGraph and Neoj4 this year raising $105 million and $325 million, respectively. Above: ArangoDB dashboard view Graph database landscape
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