Neo4j Inc. is bringing its graph database technology to the business intelligence sphere with the addition of a connector that presents live graph datasets into popular BI platforms. The platforms ...

Neo4j, the graph database and analytics leader, is announcing a partnership with Snowflake that brings Neo4j’s fully integrated, native graph data science solution to the Snowflake AI Data Cloud. This ...

Graph platform Neo4j today announced that it raised $325 million at an over $2 billion valuation in a series F round led by Eurazeo, with additional investment from GV. The capital, which brings the ...

The first part of this article introduced Neo4j and its Cypher Query Language. If you’ve read Part 1, you’ve seen for yourself why Neo4j and other graph databases are especially popular for social ...

Neo4j's new managed service works with the company’s cloud-based graph database offering, AuraDB, providing a library of graph algorithms, machine learning pipelines, and data science methodologies ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

We've been keeping track of graph database evolution regularly in this column. When we got note from Neo4j about its upcoming release, dubbed "the most significant product release in the graph ...

Data modeling has always been a task that seems positioned in the middle of a white-water rapids with a paddle but no canoe. On one side of the data modeling rapids are the raging agilists who are ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...