With Autumn in full swing, we have a few new features in Neo4j Bloom to call out that make graph data visualization and exploration even easier and more intuitive.Let’s start by introducing this neat little trick for anyone getting started… Read more →
Learn how to use Neo4j Graph Data Science and pathfinding algorithms to understand and optimize your supply chain performance. Read more →
How to extract actionable insights in supply chains in minutes using Neo4j GDS and Bloom to visualize operational load and regional patterns. Read more →
Exploring the meaning of data with an appropriate visualization is extremely important for us, and for the users who want to explore the relationships and properties stored in their database. Read more →
This week we welcome the release of Neo4j Bloom 2.1, with the new feature: filtering and rule-based styling based on times and dates. Read more →
Learn how to integrate graph data visualizations into no-code workflows easily with the latest version of Neo4j Bloom 2.0. Read more →
The Pulitzer Award winning International Consortium of Investigative Journalists (ICIJ) published the first data-release of the recent Pandora Papers investigation. Read more →
In this post, I’d like to go over a number of the key changes from the past two versions of Bloom, and discuss how they might be helpful to analysts and data scientists, as well as developers involved in these specialties. Read more →
Neo4j Bloom is a wonderful tool for navigating and visualizing a Neo4j graph without having to know the Cypher query language. This functionality is unique and a necessity for graph database end-users. Why? Read more →
Learn how to efficiently fetch and process big data using a reactive approach for our large scale data visualization tool Neo4j Bloom. Read more →