graph visualization and exploration tool to help build graph-based solutions with ease
At the core of the Neo4j Graph Data Platform is the Neo4j Graph Database, a native graph data store built from the ground up, to leverage not only data but also data relationships. Unlike other types of databases, Neo4j connects data as it’s stored, enabling queries never before imagined, at speeds never thought possible.
Neo4j Graph Data Science (GDS) Library uses the relationships and network structures in data to help data scientists address complex questions about system dynamics and group behavior.
Businesses use these insights to make valuable predictions, such as pinpointing interactions that indicate fraud, identifying similar entities or individuals, finding the most influential elements in patient or customer journeys, and how to minimize the impact of IT, phone or other network outages.
With Neo4j, connections between data are stored – not computed at query time. Cypher is a powerful, graph-optimized query language that understands, and takes advantage of, these stored connections.
Cypher is inspired by SQL, with the addition of pattern matching borrowed from SPARQL. It uses simple ASCII symbols to represent nodes and relationships, making queries easy to read and understand.