Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

This example generates several graphs of sales data that can be accessed from a single Web page. The graphs are two bar charts of summary sales data and three pie charts that break the data down by ...

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders ...

For example, graph databases excel in environments where relationships drive functionality, offering advantages in developing custom large language models (LLMs) and other advanced AI-driven ...

A graph database is different from a traditional relational database in how it is structured. Instead of using rows and tables to organize data, a graph database has nodes and edges to build out a ...

Graph database startup TigerGraph Inc. today announced a major update to its flagship cloud platform with the Savanna release, bringing with it six times faster network deployments and dozens of ...

A property graph database, such as Neo4j’s, is an extreme example of a structured data store. The node-and-edge graph structure excels at helping users to explore knowledge about entities (defined as ...

Graphs easily encompass historical data, so users can uncover associations between different entities, like flagged and deleted social media accounts, for example, to build a more comprehensive ...