You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Gaurav Deshpande, VP of Marketing at TigerGraph, said “Graph databases create huge value for our customers in specific applications including data analytics, machine learning, fraud detection ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

“Master Data Management innovators use graph databases to ask new questions and discover new answers within their existing data,” explained Emil Eifrem, CEO and co-founder of Neo Technology ...

To start building your knowledge graph, set up a Neo4j database. It will be the backbone of your project. You’ll use the Cypher query language to add, change, and find complex network data.

Amazon Neptune is a fast, reliable and fully managed graph database service that aims to make it easier for enterprises to build and run applications on highly connected datasets.

The graph database market was pegged at $1 billion in 2019, a figure that’s projected to rise to rise threefold by 2024. Notable players in the commercial space include Oracle, ...

Neo4j is the most popular graph database on the market these days. While graph databases are part of the NoSQL movement, they really solve different problems than, say, Couchbase or MongoDB.