Neo4j Blog

Editor’s Note: This presentation was given by Stephan Reiling at GraphConnect San Francisco in October 2016. Presentation Summary In this talk, Senior Scientist Stephan Reiling describes some of the ways that a major pharmaceutical company conducts the search for medical compounds, and the significant role that graph database technology plays in that effort. The underlying problem is... Read more →

From LinkedIn to Facebook to Google, top companies are driving their businesses using graphs. And use cases span industries as well. What those new to graph technology may not understand is that creating a graph does not require starting from scratch. Existing data stores, such as data lakes and relational databases, represent an onramp to graph analytics on your existing data. In... Read more →

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have a tutorial of the Neo4j ETL Tool, a React.js application that uses the new temporal and geospatial data types, a new release of the JDBC Driver, and more! Have a really awesome Neo4j story or use case you want to share with the... Read more →

Our team at LARUS has been quite busy since the last JDBC driver release. Today, we're happy to announce the 3.3.1 release of the Neo4j-JDBC driver. The release has been upgraded to work with recent Neo4j 3.3.x versions and Bolt driver 1.4.6. (Work on Neo4j 3.4.x and drivers 1.6.x is in progress.) Neo4j-JDBC Driver Improvements and Upgrades We worked on a number of... Read more →

Editor’s Note: This presentation was given by Yaqi Shi at GraphConnect San Francisco in 2016. Presentation Summary In this presentation, Yaqi Shi describes the process of developing Health-Graph, a model of how some of the key elements in the healthcare system are connected. With a background in the Chinese healthcare system, Yaqi was bewildered by the U.S. system’s complexity, which... Read more →

Your data is inherently valuable, but until you connect it, that value is largely hidden. Those data relationships give your applications an integrated view that powers real-time, higher-order insights traditional technology cannot deliver. In this series, we'll examine how investments in connected data return dividends for your bottom line – and beyond. Last week, we explored how... Read more →