Graph Databases

Graph databases are gaining adherents for their performance querying related data. “The graph model offers an inherent indexed data structure, so it never needs to load or touch unrelated data for a given query,” Yu Xu, founder and CEO of graph database developer TigerGraph noted...

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com. What makes graph databases so popular? Graphs overcome the big and complex data challenges that other databases cannot. With the popularity of graph databases driven by such benefits, there has...

Five years in the making, TigerGraph came out earlier this month with its graph database platform featuring parallel processing and analytics. Its native parallel graph technology (NPG) powers real-time deep link analytics for enterprises trying to graph and process really Big Data. It’s touting it as the only system on the market to unify...