Graph database vendor Neo4j is out today with a major version update that brings users faster queries, more scalability and a new release cadence. The graph database update marks a shift from the ...

Query optimization lies at the heart of modern database management systems, striving to identify the most efficient access and execution plan for a given declarative query. Traditional optimisers ...

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has been a ...

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com, a database consultancy. Since seeing early adoption by companies including Twitter, Facebook ...

The web is among humankind's greatest achievements and resources. Ever-expanding and nearly all-encompassing, we've all come to depend on it. There's just one problem: It takes work to get information ...

Graph technology is well on its way from a fringe domain to going mainstream. We take a look at the state of the union in graph, featuring Neo4j's latest release and insights as well as data and ...

Understanding the relationships in graph database theory allows us to work with the new 'shape' of data itself. Businesspeople like graphs. C-suite executives are fond of pie charts, Venn diagrams, ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

The problem: The app must store a collection of people and who they know. Sometimes it must find out everyone who knows someone who knows Bob. Sometimes it must look further for everyone who is three ...

Query optimisation in distributed database systems addresses the challenge of selecting an efficient execution plan across multiple networked nodes. Owing to the combinatorial explosion of possible ...