Neo4j on Google Cloud
The Leading Graph Data Platform on Google Cloud
Unlock fast, flexible, and secure GenAI solutions with Neo4j AuraDB on Google Cloud's advanced, AI-ready platform. Developers can accelerate graph adoption to build today's intelligent applications and machine learning workflows with Neo4j on Google Cloud.
Neo4j in the Google Cloud Ecosystem
Neo4j recognized as Global Technology Partner of the Year
Read MoreHarnessing Google's leading technology and advanced models, Neo4j AuraDB enables rapid deployment and flexible integration of generative AI to drive innovation with unwavering trust and security. The Neo4j graph database plugs into your Google Cloud architecture. Integrations include Cloud Storage, Dataflow, Dataproc, Gemini, Vertex AI, and Gemini Workspace
Neo4j is a leading vector store and can be used in a GraphRAG pattern to ground Google LLMs including Gemini.
Why Use Neo4j on Google Cloud?
Market Leadership
Neo4j is the world’s leading graph database, used by a thriving community of over 220,000 developers. Fortune 500 organizations trust Neo4j as their graph database vendor for a broad set of use cases in production environments. Neo4j’s focus on graph technology and a relationship-centric culture drives our #1 priority to make every customer’s project successful. Neo4j is also recognized by industry analysts, including Forrester, Gartner, and DB Engines.
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. Most recently we announced deep integrations related to Generative AI.
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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