Neo4j on Google Cloud
The Leading Graph Data Platform on Google Cloud
Developers and data scientists on Google Cloud can accelerate graph adoption to build today’s intelligent applications and machine learning (ML) workflows with Neo4j – the most deployed and trusted graph data platform that's available as a fully managed cloud service or self-hosted.
Neo4j and Google Cloud joint customers
Neo4j in the Google Cloud Ecosystem
The Neo4j graph database plugs into your Google Cloud architecture just like a native component. Integrations include Deployment Manager, Cloud Storage, Dataflow, Dataproc, Vertex AI, Looker, BigQuery and Enterprise Knowledge Graph.
Why Use Neo4j on Google Cloud?
Market Leadership
Neo4j is the world’s leading graph database, used by over 220,000 developers and 75% of Fortune 100 companies. Neo4j’s relationship-centric culture aims to make every customer’s project successful.
Strategic Google Partnership
Since the announcement of our strategic partnership in 2019, Neo4j and Google have expanded beyond the initial Neo4j Aura’s integration with the Google Cloud console. Today we offer product integrations and vertical solutions, including a joint supply chain solution.
Ease of Deployment
Neo4j offers a variety of ways to run on Google Cloud.
SaaS
Neo4j Aura offers a fully managed service on Google Cloud. You can learn more here or get started at Google Cloud Marketplace.
IaaS
Neo4j offers Deployment Manager templates that are available through the Google Cloud Marketplace. The underlying code is open source on GitHub and you can read the documentation here.
Kubernetes
Neo4j runs well in Google Kubernetes Engine (GKE). The easiest way to get started is at the Google Cloud Marketplace listing. Documentation on the Helm charts underlying that listing is available as well.
Market Leadership
Learn more about ease of deployment on SaaS
A quick demonstration about how to quickly launch AuraDS from Google Cloud Marketplace
INDUSTRY EXPERTISE
Supply Chain Optimization With Neo4j and Google Cloud
Google Cloud and Neo4j provide a seamless solution template to optimize supply chains, ensuring predictability, resilience, and automation.
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