Graph analytics is a set of analytic techniques that shows how entities such as people, places and things are related to each other. Unlike traditional data analytics, which is slow and unable to ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Skip to main content Saturday 5 July 2025 ...

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models.

Sure, there are graph databases like Neo4j, but graph analysis or graph search may be more useful, depending on the sorts of data relationships you need to explore ...

International Data Corp. analyst Devin Pratt said the launch of Neo4j’s serverless platform is an “exciting move” by the company that will significantly boost the accessibility of graph ...