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Neo4j’s solution, the first native graph database on Google Cloud Platform Marketplace, allows customers to deploy native graph database capabilities leveraging Google Cloud Platform and Kubernetes.



Neo4j, a market leader in connected data, today announced it is introducing a commercial Kubernetes application to all users of the Google Cloud Platform Marketplace (GCP Marketplace). The new offering will provide customers with the ability to easily deploy Neo4j’s native graph database capabilities for Kubernetes directly into their Google Kubernetes Engine (GKE)-hosted cluster. For the first time ever, commercial Kubernetes applications are available to deploy with one click to Google Kubernetes Engine with a usage-based pricing model. Commercial Kubernetes applications can be deployed on-premise or even on other public clouds through the GCP Marketplace.

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 a market 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.

"We believe ease of deployment and time to value are critical to delivering the benefits of an enterprise graph database to a broader set of users," said David Allen, partner solution architect at Neo4j." Now with this collaboration, Kubernetes’ growing customer base can easily tap Neo4j for a wide range of connected data applications.

Kubernetes customers are already building some of these same applications, and using Neo4j on Kubernetes. Users can combine 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.

The availability of commercial Kubernetes applications from providers like Neo4j is a critical part of extending enterprise investments and can simplify adoption of container-based infrastructure no matter what environment they operate in, either on-premise or in the public cloud.


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