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

Graph databases have been around in one form or another since the early oughts, but they were generally slower, more complex to work with, and more limited in terms of their applicability than ...

Blazegraph is/was an RDF graph database, so if indeed Neptune was built on top of Blazegraph, this would perfectly explain support for SPARQL, among other things.

Amazon’s Neptune is a distributed graph database that’s optimized for very large datasets and fast response times. It works with two popular query languages (TinkerPop and SparQL).

Amazon Neptune, which is currently in limited preview, gives customers two graph database models and two ways to write graph database queries, including property graphs and entity graphs. Property ...

Some of the most widely languages/APIs used for graph querying are SPARQL, Gremlin, and Cypher. Cypher is Neo4j's query language, which Neo4j has opened up as openCypher.

Boston-based Cambridge Semantics said Wednesday (Jan.13) the acquisition would allow it to expand its Anzo “smart data” platform by combining it with SPARQL City’s in-memory graph query engine. The ...

Neptune supports graph APIs for both TinkerPop Gremlin and SPARQL, making it compatible with a variety of applications. AWS notes that it built the service to recover from failures within 30 ...

The database service supports graph models Property Graph and W3C’s RDF and their query languages Apache TinkerPop Gremlin and SPARQL. Graph databases can be useful beyond social networks and ...