This whitepaper is for historical reference only. Some content might be outdated and some links might not be available.
Amazon Neptune
Amazon Neptune
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High performance — Provides low-latency and high-throughput performance for both read and write operations, making it suitable for real-time applications.
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Scalability — Neptune can handle billions of vertices and edges, and is designed to automatically scale to meet the demands of your application.
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Compatibility — Supports the popular graph query languages, including Apache TinkerPop Gremlin
and SPARQL , making it easy to use with existing applications and tools. -
Durability — Automatically replicates data across multiple Availability Zones
(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
, and Amazon SageMaker AI , 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.