On September 5, Neo4j announced the launch of its new Infinigraph architecture, claiming that this architecture addresses a ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Neo4j is renowned for its graph database technology, which is far more efficient than traditional relational databases when it comes to handling relationships between data. For example, when ...

Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

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 ...

Neo4j is the biggest, oldest, and most successful graph database company in the world. Its eponymous database is relied upon by thousands of organizations to store and expose data in a graph manner, ...

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 ...

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.

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...