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 ...

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 needs to power the data web. While ...

Graph databases are hot, but can they break relational’s grip?

Graph-relational database developer EdgeDB Inc. is gearing up for prime time after closing on a $15 million early-stage round of funding ahead of its official launch early next year.Today’s Seri ...

Of course, if your team has skills with relational or NoSQL databases, many of those platforms offer graph materialized views that allow you to run fairly simple graph queries that could handle ...

A graph database is different from a traditional relational database in how it is structured. Instead of using rows and tables to organize data, a graph database has nodes and edges to build out a ...

Like other graph database makers, vesoft has its own variant of a graph query language, called nGQL, which is SQL-like with graph principles added to it. (There is not, as yet, a standard GQL as there ...

Graph databases are increasingly popular. In fact, according to DB-Engines graphs are the fastest growing of any database category since 2013. This growth is fueled in part because many organizations ...

The NoSQL-style graph data technologies, often integrated by applications specialists like Esri, represent a new take on analytics that is gaining momentum.. Unlike table-based relational database ...

I wanted to understand why more organizations aren’t considering graph databases. Developers think in objects and use hierarchical data representations in XML and JSON regularly.