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.

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Advantages of graph database fraud detection applications The advent of production-quality and highly scalable fraud detection applications that rely on the advantages of machine learning and a ...

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.

But to developers, the Microsoft Graph is exposed as an API to write apps against, not a database. In this case, Microsoft models all the data, developers can just run and go play with it.

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 ...

At the recent Cloud Next conference in Tokyo, Google announced Spanner Graph, a managed feature that integrates graph, relational, search, and AI capabilities within Spanner. This new database ...

For most fields, graphs are the most common form of visual presentation for data. Graphs exist in numerous shapes and formats, but as a rule, should only be used to present trends or relationships ...

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 ...