Graph Visualization Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure ...

Graph databases have moved from a topic of academic study into the mainstream of information technology in the last few years. ... High-speed data ingestion. Integrated data visualization.

If your team struggles to view how information is consumed from a digital asset management (DAM) system, consider the option of a graph database. Graph databases are among most promising new ...

The first new offering, dubbed TigerGraph Insights, is essentially a low-code, no-code BI and visualization tool for analyzing data sitting in the TigerGraph cloud database. It’s designed for use by ...

Newsela uses Dgraph, a “graph database,” to speed the delivery of content while making it easier for the company’s developers to create new features.

Ultipa Cloud V2.1 introduces the Graph Powerhouse Standard and the new Ultipa Manager, offering an integrated system that combines Ultipa's state-of-the-art graph database with a one-stop graph ...

Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on).

Graph databases are all around us, but more often than not are hiding in plain sight. A good example is the Microsoft Graph, ... which are ubiquitous in the BI visualization world.