A note of caution: Graph databases are not a substitute or an alternative for relational databases. The two types of databases fulfill different data processing and application objectives.

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 ...

Over time, most likely, graph databases will become as commonplace as relational databases are today. Allied to this is the rise of graph data query languages like Cypher, which was recently made ...

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 ...

Organizations are attracted to graph databases to meet big and complex data challenges that traditional databases such as relational and NoSQL are not capable of conquering.

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.

A peek at DB-Engines graph database comparison (graphed in a slightly non-intuitive logarithm scale) shows steady growth for Neo4j. Titan and OrientDB, a multi-modal database, show some growth.But the ...

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

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.

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 ...