In this article, we are going to show how journey planning can be done using a dataset of the railway network in Great Britain and a new Cypher feature called quantified path patternsIntroductionPlanning a journey on a railway network is usually… Read more →
NeoDash 2.3 is finally here! This update brings a fresh new look, improved performance for large dashboards, and exciting visualization features. Read more →
Tom Nijhof, Back End Developer at CytoSMART Jun 13, 2023 3mins read
In a previous blog, I loaded 197M chemical names into a graph database. All of these are indexed with a full-text index and use the graph properties to improve the search. In order to test the user experience (not just… Read more →
Kees Vegter, Pre-Sales Engineer, Neo4j Mar 31, 2023 6mins read
Discover the power of Cypher Paths in Neo4j Database. Learn about Path data type, variable length paths, and relationship functions. Optimize your query engine today. Read more →
Saloni Gupta, Data Scientist, SparkCognition Mar 15, 2023 8mins read
Photo by Galina Nelyubova on UnsplashWell, you might be wondering: Why would one want to write Pandas or SQL-style queries while working with a graph database like Neo4j? Does it not defeat the purpose of having data stored and ingested in… Read more →
Elaine Rosenberg, Curriculum Developer at Neo4j Feb 08, 2023 2mins read
We have just published the Cypher Aggregations course in our Cypher Learning path.GraphAcademy Cypher Aggregations Course PageThis course will take about four hours to complete and includes content, videos, checks your understanding questions about the content, and hands-on challenges so you can… Read more →
Tom Nijhof, Back End Developer at CytoSMART Jan 26, 2023 3mins read
I got a helpful email from Ron van Weverwijk pointing out that constructing a Cypher query every time does not give the best performance. I didn’t know at the time that this would also solve another problem. The problem is… Read more →