For a few decades, structured data are typically arranged as relational tables and stored in relational databases. Recent years have witnessed the blossom of graph databases, for which graph becomes ...

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

TigerGraph The TigerGraph Analytics Platform combines a graph storage engine, a graph processing engine, and three types of API. It can run on-premises, in the cloud, or in a hybrid configuration.

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2022, Joseph Hilger, COO, Enterprise Knowledge LLC ...

Today TigerGraph announced the general availability of TigerGraph Cloud, dubbed the first native graph database-as-a-service, as well as $32 million in Series B funding.