Neo4j Blog

Whether you're running a single instance of Neo4j, or multiple databases across clusters, you will be pleased to hear about the release of the Neo4j Ops Manager. This new product makes it effortless to monitor and administer all your Neo4j databases, instances, and clusters from a central... read more

Neo4j has launched a new product that allows your team to manage all of your Neo4j deployments at scale, effortlessly, from a single user interface. The Neo4j Ops Manager helps your database operations team monitor and administer Neo4j databases, hosts, and instances, on premises or in the... read more

Neo4j’s graph platform is unique compared to traditional relational databases (RDBMS) and NoSQL datastores because it prioritizes connections between data points, called relationships, as first-class citizens. Relationships are just as easy to access and just as important as the data points, or... read more

Disruption in technology is driving change across every major industry today, and that change represents a unique opportunity for organizations of any size and value to differentiate through innovation. Whether it's getting to Mars earlier than expected, or connecting disparate sources of... read more

Graph Data Science features are now available in Bloom 2.3! Just select the Graph Data Science icon and choose from the available algorithms. The GDS plugin needs to be installed on the database for self-managed users, or you can use AuraDS. To get an idea of what Bloom and Graph Data... read more

We don’t take breaks at Neo4j – we’re following up GraphConnect with yet another awesome release of the Graph Data Science (GDS) library. Our engineers are constantly raising the bar, and some of the highlights in this release: 🆕 New algorithms: K-means clustering and Leiden... read more