Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

TigerGraph has brought forward a free Developer Edition of its graph analytics platform for lifetime non-commercial use. But, please, what is graph analytics? As defined nicely here by Hitachi ...

The graph database is popular with social networks, but there's no reason to limit it to tracking people and their friendships.

Graph analytics and stream processing “Graph Relates Everything” is how Gartner framed the reasoning behind including graphs in its top 10 data and analytics technology trends for 2021.

By mapping relationships among high volumes of highly connected data, graph analytics unlocks more insightful questions and produces more accurate outcomes ...

Graph database provider TigerGraph held its annual Graph + AI Summit last week, and several of its customers and partners in the financial services shared their experiences with the database and graph ...

Part I of our series on graph analytics introduced us to graph analytics, and its brethren graph databases. We talked about the use of graph analytics to understand and visualize relationships ...

Q: Why is graph analytics considered the wave of the future in documenting data? A: We have always thought of data as being interlinked.

Dr. Yu Xu discusses why graph analytics hasn’t been adopted as much as other analytics methods – and why that’s changing.

Neo4j is both the original graph database and the continued leader in the graph database market. Designed to store entities and relationships, and optimized to perform graph operations such as ...