TigerGraph, creator of the native parallel graph database platform for enterprise applications, announced the addition of role- and view-based security to its Native Parallel Graph (NPG) platform. The new feature delivers enhanced security, enabling enterprises to create and administer access to subgraphs on a single cluster for controlled data access.
TigerGraph Adds Role-Based Security to Its Enterprise-Ready Graph Database Platform
Apache Spark Expands With Cypher, Neo4j’s ‘SQL For Graphs,’ Adds Declarative Graph Querying
Neo4j, a leader in connected data, announced that it has released the preview version of Cypher for Apache Spark (CAPS) language toolkit. This combination allows big data analysts to incorporate graphs and graph algorithms in their work, which will dramatically broaden how they reveal connections in their data.
The State of Graph Databases – Worldwide Adoption and Use Case Characteristics
A new paper, “The State of Graph Databases – Worldwide Adoption and Use Case Characteristics,” provides an overview of graph technology, details the results of a new IBM survey—and highlights findings that debunk some of the most popularly held views about graph technology.
The State of Graph Databases – Worldwide Adoption and Use Case Characteristics
This paper provides an overview of graph technology, details the results of the survey conducted by IBM, in partnership with TechValidate, of 1,365 entrepreneurs and developers about the potential they see for graph databases as well as their current and planned use for this technology—and highlights findings that debunk some of the most popularly held views about graph technology.
Cross-Channel Advertising with Large-Scale Consumer Graphs
In this contributed article, Deb Ray, Chief Data Officer at VideoAmp discusses an important technique where the complexity of cross-channel targeting and measurement is solved by building a large-scale graph of consumers and their connected devices.
Introducing Neo4j 3.1: The Graph Foundation for the Enterprise
Neo Technology, creator of Neo4j, the world’s leading graph database, announced the release of Neo4j 3.1, a major release with new operational and security features that make it easier to deploy Neo4j broadly across an entire enterprise.
Search + Graph : Find New Answers
In this contributed article, Steve Kearns, Senior Director of Product Management at Elastic, looks at the idea of using relevance in graph exploration to open the door to asking more complex, and valuable questions.
Introducing Neo4j 3.0 – Powerful & Easy-to-Use Graph Database
Neo Technology, creator of Neo4j, a leading graph database, announced the immediate general availability of Neo4j 3.0 – a landmark release propelling graph databases into the mainstream thanks to its massive scalability, new language drivers and a raft of other developer-friendly properties.