Graph databases are becoming the next big thing in data and analytics technology. According to Gartner, the application of graph processing and graph database management systems will grow at 100% ...

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a difficult ...

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 ...

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 ...

Building a dependable database management system is a difficult task. We must be aware of the design trade-offs in the construction of a database management system and understand how those trade-offs ...

When it comes to dating, everybody is highly motivated. So it is no surprise that the nerdy among us put their advanced knowledge to work when seeking out a mate. The most recent celebrated example is ...

Graph databases have garnered attention for their value in such applications as customer profiling, fraud detection, and recommendation engines. The potential of this market is affirmed by numerous ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

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 are gaining attention as enterprises work on their next-generation artificial intelligence (AI) applications. While still a bit of an outlier, graph-oriented databases continue to find ...