Graph databases are the fastest-growing category in all of data management. Graph databases have evolved into a mainstream technology that has been successfully implemented by organizations in ...

The Global Graph Database Market size is expected to reach $8.1 billion by 2028, rising at a market growth of 22.2% CAGR during the forecast period.A graph database is a single-pu ...

Through the graph-based NoSQL store it provides, IBM Graph creates rich representations of data in an easily digestible manner. If you can whiteboard it, you can graph it.

Neo4j created the property graph model and is the leading graph database in the market, used by more than 75 of the Fortune 100. More details on Neo4j's vector index search capability can be found ...

This is all in line with the ongoing evolution of graph databases: From databases to platforms, and from one query language to many. Under the hood, however, everything gets translated to FlureeQL.

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

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.

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 ...

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 ...