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 ...

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 ...

Graph databases have moved from a topic of academic study into the mainstream of information technology in the last few years. Now CIOs are confronted with the need to better understand: What ...

The graph database is popular with social networks, but there's no reason to limit it to tracking people and their friendships.

While relational databases remained strong, the 2000s saw the emergence of XML databases, and NoSQL, the idea that databases didn't need to be structured in a purely tabular form, began to get hot.

Graph databases have matured into mainstream information technology and delivered value to organizations in a wide range of applications. Here's how you can expect them to evolve.

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.

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

Still using an RDBMS for friend-of-a-friend queries? Big mistake. Enlist a graph database using Neo4j instead.

A graph database is a single-purpose, specialized platform for building and manipulating graphs. Another often used word for a graph database is graph analytics, which refers to the process of ...