Neo4j Blog

Editor's note: This presentation was given by Tawanda Ewing at Connections: Graphs for Cloud Developers 2021. As a Machine Learning Engineer for a startup called Deep Learning Café, I am in charge of getting most of our artificial intelligence and machine learning systems up and running in... read more

Supply chains are becoming increasingly complex as companies look to capitalize on new opportunities in the global marketplace. In order to stay competitive, enterprises must be able to quickly and efficiently adapt to changing conditions. One small change in the market can reverberate throughout... read more

The big news this week for Neo4j was two major releases: Graph Data Science (GDS) 2.0 and AuraDS. GDS 2.0 brings a ton of new features, such as improvements to similarity algorithms, unified machine learning pipelines, and simplified graph projections using Cypher. Another big highlight in... read more

I think we can all agree that cybersecurity is one of today’s more acute concerns around the globe. After all, ransomware-related data leaks are up by 82 percent with a 40 percent overall increase in ransomware attacks during the pandemic. Identity theft increased by 42 percent in 2020... read more

Aura now has the ability to pause your database instance when it’s not in use. You can pause with just a click (on the paid tiers) and while paused, you only incur 20 percent of the regular running cost. Neo4j Aura, Neo4j’s cloud-native graph service, is designed to be always on for... read more

It’s been a crazy journey going from our initial product launch two years ago to the fully featured graph data science platform we have today. When we started, we had a handful of your favorite graph algorithms, and a vision of making graph data science super simple. Today, we’re celebrating... read more