By multi-model, Franz said its semantic graph database supports ingestion of different JSON documents as well as Resource Description Framework (RDF), or triplestore, data—another World Wide Web ...

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 ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

MPP computational model. To reiterate what we have revealed above, the TigerGraph graph is both a storage model and a computational model. Each node and link can be associated with a compute function.

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

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

There are also many industry-standard data models, which support RDF and the graph model. For example, Fibo for financial services, HL7 FHIR for financials, for healthcare and then there's also many ...

Amazon Web Services today unveiled Neptune, a fully managed graph database service that will allow organizations to quickly identify connections hidden among billions of items. AWS offers an array of ...

For example, LDBC collaboration has helped drive standardization of the graph data model and query languages. This standardization helps ease the definition of benchmarks and is valuable to users ...

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.