Elastic today unveiled Graph, a new extension for Elasticsearch and Kibana that allows anyone to uncover, understand, and explore the relationships that live in their data. By combining the speed ...

In the past I’ve written in this blog post about Elastic Stack and its features. Here I’d like to show you more in depth the functionality of Graph analytics. The Graph analytics features enable you ...

Elastic today announced that it’s added a graph query engine to Elasticsearch engine users now have the option of using their search indexes as the basis for conducting graph analyses. The new option ...

En dévoilant sa nouvelle extension baptisée Graph, Elastic permet à quiconque de découvrir, comprendre et explorer les relations qui peuvent exister au sein de différents jeux de données ...

Building a three-layer benchmarking framework for assessing elasticity in graph analytics, we conduct an in-depth elasticity study of distributed graph processing. Our framework is composed of ...

Graph Enables New Use Cases for the Elastic Stack When you store data in Elasticsearch -- products, users, documents, logs -- this data often contains references or properties that represent ...

This unique approach to graph exploration opens a wide range of new use-cases for the Elastic Stack, without requiring new index formats, by allowing users to query their existing data in new ways.