Neo4j Graph Database 4.0 has been released with a new reactive architecture to provide a “very responsive, elastic and robust” database, the company explained.

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 ...

A graph database architecture mirrors sketching on a whiteboard, storing all the information in nodes (representing entities, people and concepts) with relevant context and connections between them.

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 ...

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 ...

By having a native C++ graph storage engine (GSE) work side-by-side with a graph processing engine (GPE) to handle of data and algorithms and by using parallelism and a distributed architecture ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

SHACL allows a data graph, for instance, to specify the corresponding shapes graph used to describe the link between a given shape and targeted data. Franz claims its upgraded, flexible architecture ...

Redefining Data Architectures For The Modern, ... Wrapping a relational database in graph APIs doesn’t work (my team really tried!), and so CIOs are going to have to confront this.

TigerGraph architecture. As we can see in the block diagram below, TigerGraph has an ETL loader (left), graph storage and processing engines with query language and visual clients as well as a ...

These benchmarks help graph database vendors identify weaknesses in their current architectures, identify problems in how they implement queries and scale to solve common business problems.