This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is an RDF store database? RDF stores enable modeling, representation and ...

The recent increase in the popularity of property graph databases is well-founded, as they fulfill a real need. But as usage continues to ramp up, the limitations of traditional property graph systems ...

With the NBA playoffs in full swing, we are used to having statistics nuggets thrown into game coverage. While it has been argued that not every aspect of the game should be purely data driven, sports ...

Organizations are struggling with a fundamental challenge – there’s far more data than they can handle. Sure, there’s a shared vision to analyze structured and unstructured data in support of better ...

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...

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 ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...

Getting a number of vendors to talk to each other, let alone align, is no easy feat. Adding academics and researchers does not necessarily make things easier. Now try adding to the mix a fragmented ...

the study. As was the case before, the main purpose of the appendix is to highlight the types of features that one should be focusing on when considering a graph database as a possible material ...

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