An introduction to graph database concepts.Neo4j uses a property graph database model. A graph data structure consists of nodes (discrete objects) that can be connected by …

Neo4j is a native graph database, which means that it implements a true graph model all the way down to the storage level. Instead of using a "graph abstraction" on top of another technology, …

A Neo4j graph database stores data as nodes, relationships, and properties instead of in tables or documents. This means you can organize your data in a similar way as when sketching ideas …

Why Neo4j forKnowledge Graphs Access deep, dynamic context by connecting your data in knowledge graphs. You can quickly design, implement, and evolve your knowledge graph with …

Experience the fastest path to graph with Neo4j. The most trusted, native graph database offers no compromise performance, reliability, and data integrity.

This chapter provides a brief introduction of the main concepts in the Neo4j Graph Data Science library.

Neo4j Graph Data Science Graph Data Science is an analytics and machine learning (ML) solution that analyzes relationships in data to improve predictions and discover insights. It …

Jul 6, 2022 · You can use graph algorithms in the Neo4j Graph Data Science library to extract graph-based features and improve the accuracy of ML models.

Check out Neo4j pricing for AuraDB, our fully managed cloud graph database service, as well as our self-hosted graph database options.

Connect data as it's stored with Neo4j. Perform powerful, complex queries at scale and speed with our graph data platform.