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 ...

Relational databases are so entrenched and ubiquitous that we reflexively use them for new application requirements. However, graph databases are better for applications with specific processing ...

Graph database vs. relational database. In a traditional relational or SQL database, the data is organized into tables. Each table records data in a specific format with a fixed number of columns ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

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 ...

Interest in graph databases will continue to grow, given its ability to analyze data delivered in a non-relational format, such as social networking data Graph databases, which store and query ...

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 ...

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models. Newsletters Games Share a News Tip Featured ...