On behalf of the Neo4j team, I am happy to announce that today we are introducing the availability of the Neo4j Graph Platform within a commercial Kubernetes application to all users of the Google Cloud Platform Marketplace.

This new offering provides customers with the ability to easily deploy Neo4j’s native graph database capabilities for Kubernetes directly into their GKE-hosted Kubernetes cluster.

Learn about Neo4j's new commercial Kubernetes application on the Google Cloud Platform Marketplace.

The Neo4j Kubernetes application will be “Bring Your Own License” (BYOL). If you have a valid Neo4j Enterprise Edition license (including startup program licenses), the Neo4j application will be available to you.

Commercial Kubernetes applications can be deployed on-premise or even on other public clouds through the Google Cloud Platform Marketplace.

What This Means for Kubernetes Users


We’ve seen the Kubernetes user base growing substantially, and this application makes it easy for that community to launch Neo4j and take advantage of graph technology alongside any other workload they may use with Kubernetes.

Kubernetes customers are already building some of these same applications, and using Neo4j on Kubernetes, a user combines the graph capabilities of Neo4j alongside an existing application, such as an application that is generating recommendations by looking at the behavior of similar buyers, or a 360-degree customer view that uses a knowledge graph to help spot trends and opportunities.

GCP Marketplace + Neo4j


GCP Marketplace is based on a multi-cloud and hybrid-first philosophy, focused on giving Google Cloud partners and enterprise customers flexibility without lock-in. It also helps customers innovate by easily adopting new technologies from ISV partners, such as commercial Kubernetes applications, and allows companies to oversee the full lifecycle of a solution, from discovery through management.

As the ecosystem leader in graph databases, Neo4j has supported containerization technology, including Docker, for years. With this announcement, Kubernetes customers can now easily pair Neo4j with existing applications already running on their Kubernetes cluster or install other Kubernetes marketplace applications alongside Neo4j.


Ready to get started with your one-click Neo4j deployment to Google Kubernetes Engine?

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About the Author

David Allen , Technology Partner Architect, Neo4j

David Allen Image

David is a deeply technical generalist with experience in managing teams and driving towards complex goals. The most fun he has had in his career is when he is learning something new, or trying to figure out how to do something that hasn’t been done before.

When not trying to improve something technical, you can usually find David playing guitar or cycling. He loves meeting new people, and has a very keen interest in language and culture and loves to find common ground with other people through travel and music.


2 Comments

Brendan says:

Hi David, I just setup the Kubernetes cluster with Neo4j but I’m a little confused how I point my application at it. There is (intentionally) no external IP on the cluster, but I thought we’d be able to refer to it by name. Do you have any advice?

YS says:

Similar situation here set up my Neo4j Kub instance, could access the browser but cannot establish a bolt connection no matter what address i try. Where can i find an external IP in my cloud console that would allow me to use the browser and connect to the browser? There is a github issue say I must use localhost, but in Neo4j Google Cloud TestDrive external IP address is used in the demo! So that means it can be used right?

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