While deeper analytics require deeper traversal of the graph, today’s graph databases typically slow down or time out after two hops of traversal. TigerGraph is a distributed, native graph ...

TigerGraph chose Neo4j because it's a native graph database and a market leader, and Titan because it's the most well-known distributed ... for processing and in-memory, disk and compression ...

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with ... to fame is what it calls a “hybrid memory architecture” that enables each ...

By deploying a highly distributed, massively parallel query engine based on in-memory processing of semantic data in smart graph databases, organizations can analyze whole data sets incorporating an ...

"Trinity is a graph database and graph computation platform over distributed memory cloud. At the heart of Trinity is a distributed RAM-based key-value store. As an all-in-memory key-value store ...

Microsoft’s been exploring this area since at least 2013, when it published a paper describing the Trinity project, a cloud-based, in-memory ... Another distributed graph database worth ...

NASA's people analytics group has swapped its Neo4j graph database for Memgraph due to costs.… David Meza, senior data scientist on the team, told a recent webinar that despite using Neo4j for ...

Objectivity, Inc., a provider of data management solutions, has released the first version of its enterprise-ready distributed graph database product, following a successful beta program which began ...