Limitless scale
Scale to 100TB+ across connected datasets.
Rapid insights
Run multi-hop queries up to 1000x faster than relational databases.
Enterprise-grade trust
Enforce security down to individual properties, even at massive scale.
Flexible deployment
Run self-hosted, hybrid, multi-cloud, or fully managed with AuraDB.
Demo
Connected data in minutes
Watch a quick introduction to how Neo4j Graph Database stores and queries connected data.
Capabilities
Scale to 100TB+ across connected datasets with no application or query changes, and query across multiple databases while keeping performance and simplicity intact.
Run multi-hop queries up to 1000x faster than relational databases, and use Cypher Parallel Runtime to execute analytical queries across the graph in parallel.
Enforce schema-based security and role-based access control down to individual properties, with transactional guarantees that hold across billions of nodes and trillions of relationships.
Run self-hosted, hybrid, multi-cloud, or fully managed with AuraDB and connect to your stack with Change Data Capture, Kafka, data warehouse, and BI connectors.
Powerful use cases
Optimize your projects with Graph Database as the foundation
Deliver recommendations in real time
Analyze behavior, purchase history, and connections in real time to recommend the next product, article, or connection your users actually want, not just what's popular.
Manage identity and access at scale
Model users, roles, and permissions as a connected graph, so you can answer access questions instantly and enforce least-privilege policies as your organization grows.
Identify fraud patterns within your data
Accelerate fraud detection across your enterprise and quickly incorporate new data to outpace fraudsters without having to refactor the database or rewrite code.
Ground your AI systems in actual context
Connect structured and unstructured datasets in knowledge graphs, so your AI agents have the right context for making decisions.
Learn how to feed LLMs context
for complete, relevant GenAI results
Customers
Real-world AI innovations.
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“We found that real-time data can only be solved by a graph database.”
Andy Emmonds
Chief Transport Analyst, Transport for London
“Neo4j helps us sift through and rapidly identify issues in the flood of information we receive.”
Christof Aschwanden
Senior Project Manager, Zurich Switzerland
“With Neo4j we could substitute a complex batch process … with a simple and real-time graph database.”
Marcos Wada
Software Developer, Walmart
“Typically it would take 60 person-hours … Now it’s down to seven to eight hours.”
Hendrickson
U.S. Army
“We can now map possible exposures in seconds, something that previously took engineers hours and days to manually figure out.”
Chad Cloes
Senior Staff Software Engineer, Intuit
Partners
Runs on the cloud you already use
Certified on Google Cloud, Microsoft Azure, and AWS, with technology partnerships across the data ecosystem
Resources
Learn more about Neo4j, graph databases, GenAI, analytics and more
