Neo4j Launches Commercial Kubernetes Application on Google Cloud Platform Marketplace

SAN MATEO, Calif., July 18, 2018  /PRNewswire/ -- 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.

"To remain competitive and deliver on user demands, organizations adopting cloud need ready access to trusted, tested and portable applications that can run across their entire infrastructure. At Google Cloud we strive to make it as easy as possible for customers of all sizes to deploy, purchase and manage leading solutions in the cloud," said Jennifer Lin, Director of Product Management Google Cloud. "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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About Neo4j, Inc. 
Neo4j, Inc. is the graph company behind the leading platform for connected data. The Neo4j graph platform helps organizations make sense of their data by revealing how people, processes and digital systems are interrelated. This connections-first approach powers intelligent applications tackling challenges such as artificial intelligence, fraud detection, real-time recommendations and master data.

The company boasts the world's largest dedicated investment in native graph technology, has amassed more than eight million downloads, and has a huge developer community deploying graph applications around the globe. More than 270 commercial customers, including global enterprises like Walmart, Comcast, Cisco, eBay, and UBS use Neo4j to create a competitive advantage from connections in their data.

Neo4j is privately held and funded by Eight Roads Ventures (an investment arm of Fidelity International Limited), Sunstone Capital, Conor Venture Partners, Creandum, Dawn Capital and Greenbridge Investment Partners. Headquartered in San Mateo, Calif., Neo4j has regional offices in Sweden, Germany and the UK. For more information, visit Neo4j.com and follow @Neo4j.

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