Amazon Neptune Documentation
Amazon Neptune is a fast, reliable, fully managed graph database
service that makes it easy to build and run applications that work with
highly connected datasets. The core of Neptune is a purpose-built,
high-performance graph database engine that is optimized for storing
billions of relationships and querying the graph with milliseconds of
latency. Neptune supports two popular property-graph query languages, Gremlin
and openCypher, as well as SPARQL for RDF data. These can help you build
queries that efficiently navigate highly connected datasets. You can use
Neptune for graph use cases such as recommendation engines, fraud detection,
knowledge graphs, drug discovery, and network security.
User guides
- Provides an overview of the Amazon Neptune graph database, including instructions for using its features with the Gremlin, openCypher, and SPARQL query languages. It also documents Neptune administrative and data-access API operations.
- Provides an overview of the Neptune Analytics graph database, including instructions for using its features with the openCypher query language. It also documents Neptune Analytics administrative and data-access API operations.
Get started
- Learn about the differences between Neptune Database and Neptune Analytics, and which is better suited to your use case.
- Provides an introduction to the Neptune graph data model.
- Provides an introduction to the graph algorithms in Neptune Analytics, with suggestions about how they might be applicable to your use cases.
References
- Describes the Neptune Database API operations for setting up and managing your graph database infrastructure.
- Describes the Neptune Database API operations for loading, accessing, and maintaining data in a Neptune graph. It includes bulk loading, querying, data inquiry, and machine learning operations.
- Describes the Neptune Analytics API operations for managing Neptune Analytics infrastructure and data, including loading and querying data.
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