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 Graph, the open, universal data layer for web3, announced today a strategic integration with the TRON blockchain network.

How does data become information? Through context. And that’s what Microsoft’s new Microsoft Graph aims to do: Collect data points about you, then turn around and sell it to apps and services ...

Neo4j announced today the Neo4j BI connector, which it dubs the first enterprise-ready driver to bring graph data to the Business Intelligence (BI) market.

Neo4j Inc. is bringing its graph database technology to the business intelligence sphere with the addition of a connector that presents live graph datasets into popular BI platforms. The platforms ...

Two-sided graphs require three sets of data: one for the horizontal axis and two for the vertical axes. As a business example, you might want to display the number of units sold and the total ...

Graph databases must meet developers and business analysts on their own turf Written by Tony Baer (dbInsight), Contributor Aug. 25, 2021 at 5:00 a.m. PT The new attacks are very similar to those ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

These benchmarks help graph database vendors identify weaknesses in their current architectures, identify problems in how they implement queries and scale to solve common business problems.