This whitepaper is for historical reference only. Some content might be outdated and some links might not be available.

# Amazon Neptune
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 [Amazon Neptune](https://aws.amazon.com/neptune/) is a fully managed graph database service. Neptune makes it easy to build and run applications that work with highly connected datasets, including for ID, graph/[C360](https://www.c360live.com/), security, fraud, and knowledge graph applications. Some key features of Amazon Neptune include: 
+  **High performance** — Provides low-latency and high-throughput performance for both read and write operations, making it suitable for real-time applications. 
+  **Scalability** — Neptune can handle billions of vertices and edges, and is designed to automatically scale to meet the demands of your application. 
+  **Compatibility** — Supports the popular graph query languages, including [Apache TinkerPop Gremlin](https://tinkerpop.apache.org/gremlin.html) and [SPARQL](https://www.ontotext.com/knowledgehub/fundamentals/what-is-sparql/), making it easy to use with existing applications and tools. 
+  **Durability** — Automatically replicates data across multiple [Availability Zones](https://aws.amazon.com/about-aws/global-infrastructure/regions_az/) (AZs) for high availability (HA) and data durability. 
+  **Integration with other AWS services** — Integration with other AWS services such as Amazon S3, [Amazon OpenSearch Service](https://aws.amazon.com/opensearch-service/), and [Amazon SageMaker AI](https://aws.amazon.com/sagemaker/), making it easy to build data-driven applications. 
+  **Management and monitoring** — Provides an easy-to-use, web-based console for monitoring and managing your database, as well as integration with Amazon CloudWatch for metrics and alerts.