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"A lot of activities described at the conference were related to the R&D side of life sciences. Many of the initiatives come out of the business units but they depend on enterprise applications."
"Biologists do not think about data as just a matrix optimized for analytics. They think about relationships—how a certain drug treats a certain disease, for example—and that represents a connection, not just a set of data points. Graph databases fit this model."
ArangoDB, Inc. is a U.S. based privately held company founded in Cologne in 2014 to meet the increasing demand for professional services around ArangoDB. ArangoDB can operate as a distributed & highly scalable database cluster. The company ArangoDB, Inc. contributes to the project with developer resources, db architects and developer support.
Neo4j is an internet-scale, native graph database that leverages connected data to help companies build intelligent applications that meet today's evolving challenges, including machine learning and artificial intelligence, fraud detection, real-time recommendations and master data. As the #1 platform for connected data, Neo4j has over three million downloads, the world's largest graph developer community, and over thousands of graph-powered applications in production.
TigerGraph is the world’s first Real Time Graph Analytics Platform powered by Native Parallel Graph (NPG) technology. TigerGraph fulfills the true promise and benefits of the graph platform by supporting real time deep link analytics for enterprises with complex and colossal amounts of data. TigerGraph’s proven technology is used by customers including Alipay, VISA, SoftBank, State Grid Corporation of China, Wish and Elementum.
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