George Anadiotis, Linked Data Orchestration/ZDNet: “2018 was the Year of the Graph, the year graph databases went mainstream. I have no reason to think this will change, it will only accelerate.

Traditional analytics solutions built on relational databases aren’t up to the task. They require complex, slow, and expensive work with large tables containing prescriber, claims and patient data.

This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ‘General Query Language’. In the same way that SQL helped facilitate the growth and ...

First developed in 2000, Neo4j is considered to be the most widely used graph database, though others exist in the market as well, such as GraphBase, HyperGraphDB, and Oracle Spatial and Graph.

With the Louvain modularity algorithm, the graph database is scanned to find community grouping across entities. Like this: According to Yu, the Louvain modularity method is one of the most ...

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities. This wouldn’t be a Google announcement ...

Americans spent $3.65 trillion on healthcare in 2018, federal actuaries estimate. That’s an increase of 4.4% over 2017, and it is projected to rise 5.5% per year for the next 10 years until 2027 ...