Several graph databases rely on a SQL engine and use a table to store the graph data. Others store data in a key-value store or a document-oriented database, making them fundamentally NoSQL.

To some extent, that goes for all data management systems. More so for graph databases. Even more so for blockchain-based systems. Fluree combines a graph database with blockchain.

Neo4j, the premiere graph database development platform, announced the release of version 4.0 today, which features unlimited scaling among other updates. Graph databases are growing increasingly ...

The graph database stands as one of the biggest innovations to emerge from the NoSQL database boom that shook the industry over a decade ago. Graph databases were developed to derive insights from ...

Since 2012, the Knowledge Graph has been Google’s semantic database, in which the world’s knowledge about entities (nodes) and their relationships to one another (edges) is recorded and ...

The fundamental building block of the Neo4j database is the knowledge graph. Eifrem explained that with a traditional relational database, an organization keeps all of its data in rows and tables.

Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic Graph Engines represent the next major paradigm after databases ...

Knowledge Graphs, by contrast, represent data as a network of nodes (entities) and edges (relationships). They can handle more complex, nuanced queries based on the types of connections, the ...

Next-generation graph database developer Neo4j has raised $325 million in a Series F round of financing that the company described as the largest investment in a private database company. The ...