Leading research company Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025. If you’re new to graph and wondering what it can do for your ...

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

Google will invest $25 billion in data centers across the nation’s largest electric grid over the next two years to help ...

Artificial intelligence usage is outpacing internet growth, creating electricity demands that require data centers to consume ...

With the ever increasing explosion in data for analysis and the need for fast insights on emerging trends, in-memory data grids (IMDGs) offer a highly attractive platform for hosting map/reduce ...

In contrast, graph databases are designed to handle complex, interconnected questions more efficiently. They can traverse the data and relationships between customers, purchase history, location ...

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.

SHACL allows a data graph, for instance, to specify the corresponding shapes graph used to describe the link between a given shape and targeted data. Franz claims its upgraded, flexible architecture ...

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.