Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

Graph database vendors are broadening their applications by adding enterprise-focused features to help customers who are dealing with the burdens of huge troves of business-critical data. In a move ...

Perhaps the most important decision that any company will ever make is how they intend to structure and store the information they will preserve to encapsulate the goods and services they provide 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 ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

The problem: The app must store a collection of people and who they know. Sometimes it must find out everyone who knows someone who knows Bob. Sometimes it must look further for everyone who is three ...

Part of the problem with any powerful technology is how it is perceived. It might be something that is too early for its time or it may just need those years of development and use for the market to ...

RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph databases ...