Amazon Neptune
Build and run graph applications with highly connected datasets
Build and run identity, knowledge, fraud graph, and other applications with performance, and execute more than 100,000 queries per second.
Deploy high performance graph applications using popular open-source APIs such as Gremlin, openCypher and SPARQL, and easily migrate existing applications.
Operate graph databases without worrying about hardware provisioning, software patching, setup, configuration, or backups; and pay no upfront licensing costs.
How it works

Use cases
Build connections between identities
Easily build identity graphs for identity resolution solutions such as social graphs, and accelerate updates for ad targeting, personalization, and analytics.
Learn more about identity graphs »
Build knowledge graph applications
Add topical data to product catalogs, model general information, and help users quickly navigate highly connected datasets.
Detect fraud patterns
Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions.
Learn more about identifying
fraud patterns with fraud graphs on AWS »
Make predictions on graph data
Enable easy, fast predictions with machine learning (ML) and improve accuracy by over 50 percent compared to non-graph methods with Amazon Neptune ML.
Learn more about graph prediction with Amazon Neptune ML »
How to get started
Find out how Amazon Neptune works
Learn about performance, scalability, security, and more.
Get started with Amazon Neptune
Start building with Amazon Neptune on the AWS Management Console
Learn more in a course
Find out how to write queries, troubleshoot performance, and more.