Aerospike has optimized its database to deliver two to five “hops,” which is the number of traversals a query makes as it travels along vertices to find other connected nodes, within a short amount of ...

Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Both graph databases and knowledge graphs “have similarities but serve different purposes,” said Shalvi Singh, senior product manager at Amazon AI. “Graph databases serve as the underlying ...

Looking for a graph database to use for your next project? Neo4j is an open-source option that can encode and query complex relationships.

Everything in a graph database is connected to everything else, thus data is able to be summoned much faster than from a conventional structured database.

Lyft's "Amundsen" metadata system is an example of how knowledge graphs are spreading throughout companies with grass-roots projects. It's all part of winning hearts and minds, in the view of ...

Graph databases aspire to overcome these problems by adopting a data model in which the relationships between objects or entities are equally as important as the objects themselves. In a graph ...

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

What Is a Graph Database? Your email has been sent Explore the concept of graph databases, their use cases, benefits, drawbacks, and popular tools. A graph database is a dynamic database ...