We’ve covered relational databases, non-relational databases, and the relational outlier, PostgreSQL. But what are graph databases, and what specific data-related challenges are they designed to meet?

Today's applications want it all, and the databases powering them are forced to follow: Auto-deployment and scalability both on-premise and in the cloud, multi-cloud, hybrid cloud, plus resilience, ...

The relational database is primarily oriented toward the modeling of objects (entities) and relationships. Generally, the relational model works best when there are a relatively small and static ...

When Mingxi Wu took over as CEO of TigerGraph five months ago, he promised that the company would return to focusing on the development of product features demanded by the biggest customers. That ...

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders such as ...

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 ...

Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...

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 Series A ...

Graph databases explicitly express the connections between nodes, and are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. There has ...

Graph platform Neo4j today announced that it raised $325 million at an over $2 billion valuation in a series F round led by Eurazeo, with additional investment from GV. The capital, which brings the ...