Categories

Systems that store and query data as graphs natively, treating nodes and relationships as first-class citizens.

Frameworks that add graph functionality on top of relational, document, or other database systems for connected data analysis.

Tools that use graph queries and algorithms to uncover patterns, relationships, and actionable insights from connected data.

Tools that render graph data visually, helping users explore connections and navigate complexity.

Models that organize information into a network of entities and their semantic relationships for deeper context and meaning.

Environments such as IDEs, no-code, and low-code simplify the building, deployment, and management of graph-powered applications.

Systems that apply machine learning, inference, and autonomous reasoning to data structured as graphs to enhance intelligence and decision-making.