A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

That’s because existing graph technologies have trouble loading large quantities of data, or ingesting fast-arriving data, in real time. They also struggle to deliver fast traversal speed.

The number one graph database, Neo4j, is kicking off its Graph ... By bringing Cypher to Spark, we help Spark fast-forward about a decade." We did mention Cypher, performance and memory, and ...

TigerGraph is an HTAP graph database and claims swift, deep analytics as well as fast transaction processing. AnzoGraph, on the other hand, is designed as an OLAP graph database. Cambridge ...

Aerospike this week rolled out new graph database offering that leverages open source components ... It’s not going to be as fast as the key-value lookup, for sure. But it’s going to be over and over ...

Hardware (through cloud computing) had also become fast enough that many of ... one of the core requirements of any database but especially important for graph databases. As important, several ...

Graph databases are a key ingredient in the secret development sauce that makes mega-websites such as Facebook, Google, LinkedIn and others like them work so fast and accurately. A graph database ...

Graph databases are a key ingredient in the secret development sauce that makes mega-websites such as Facebook, Google, LinkedIn and others like them work so fast and accurately. A graph database ...

“It depends on the application. So what people really want is … a fully managed graph database that’s fast, that’s reliable, that’s scalable, that doesn’t force them into one-size-fits-all choices.” ...

Maybe not so fast. There are RDF vendors who are entirely professional about what they do, and RDF does have certain things to offer that are not there in other graph data models. We had a ...