Neo4j Blog

“Bloom visualization makes it easy to drive discussion and help my clients understand the cheapest, fastest, or the greatest value path available to them and drive better decision making,” said Rob Orlando, Chief Operations Officer, Processus Group. I recently met with Rob... read more

This week we're featuring a post by biomedical engineer Tom Nijhof, who explains how his performance issues were solved by using Cypher query parameters. This allows for the query plan to be cached and reused. An important step along the way was to batch the writes using Cypher’s Unwind feature... read more

Some say you get better predictions with graph data science. The idea looks beautiful and indeed graphs are powerful tools. We would like to prove as hard as marble that connected data render predictions far more accurate. And measure how much more. Let's do it on the CORA dataset of... read more

“I've been trying to find concrete evidence of why we need to bring in Neo4j... The team gives me a lot of the support I need in order to take the evidence to my clients,” says Trinette Brownhill, a Distinguished Engineer at IBM. This week, we look back on our chat with Trinette... read more

This week's featured piece is about the CSV mapping editor, one of Kineviz GraphXR's most powerful tools that is especially handy if you're just getting started with Neo4j. In the video, you'll see a workflow that takes CSV data into GraphXR and writes it to a Neo4j database. Set up and start a... read more

Editor's note: This presentation was given by Matt Butler at GraphConnect 2022. Bonsai Data Solutions and Cambridge Intelligence have worked together to help clients understand their customer journey. Bonsai is a business intelligence and data advisory company, and we’ve partnered with... read more