Neo4j in 100 Seconds

Neo4j is a graph database created in 2007 by Emil Ifram, written in Java, and known for its property graph model. Unlike traditional relational databases, Neo4j uses nodes, edges, and properties to represent data, making it intuitive for modeling complex relationships. It is used in applications like recommendation engines and social media platforms. Neo4j can be self-hosted or used via Aura, a cloud-based service. Data is managed using Cypher, a declarative query language. Neo4j supports advanced querying, allowing for pattern matching and data analysis, making it a powerful tool for developers.

What is the property graph model and how does it differ from traditional relational databases?

Explain how nodes and edges are used to represent data in Neo4j.

Describe the purpose of the Cypher query language in Neo4j.

How can constraints be applied in Neo4j to ensure data integrity?

Discuss the advantages of using Neo4j for data analysis and machine learning.