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 ...

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 ...

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 ...

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.

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 ...

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models. This evolution promises deeper insights and can facilitate a more ...

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.

Keeping data closer to its native format allows TigerGraph Insights users to easily see patterns in the data that would otherwise be buried in a table full of numbers, or perhaps couldn’t even be ...

The global graph database market size to grow from USD 2.9 billion in 2023 to USD 7.3 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 20.2% during the forecast period. Graph 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 ...