Overview of Amazon Neptune Features

This section provides an overview of Neptune features, including:

• Neptune compliance with query-language standards.

• Neptune's graph data model.

• An explanation of the new transaction semantics that Neptune has implemented.

• An introduction to Neptune clusters and instances.

• Neptune's storage, reliability and availability.

• An explanation of Neptune endpoints.

• How Neptune's custom query IDs let you check query status.

• Using Neptune's lab mode to enable experimental features.

• A description of Neptune's experimental DFE engine.

• A list of Neptune engine releases and how to update your engine.

Note

This section does not cover access to the data in a Neptune graph using a query language.

For information about how to connect to a running Neptune DB cluster with Gremlin, see Accessing a Neptune graph with Gremlin.

For information about how to connect to a running Neptune DB cluster with SPARQL, see Accessing the Neptune graph with SPARQL.

Topics

• Notes on Amazon Neptune Standards Compliance
• Neptune Graph Data Model
• Transaction Semantics in Neptune
• Amazon Neptune DB Clusters and Instances
• Amazon Neptune storage reliability and high availability
• Connecting to Amazon Neptune Endpoints
• Inject a Custom ID Into a Neptune Gremlin or SPARQL Query
• Neptune Lab Mode
• The Amazon Neptune alternative query engine (DFE)
• Amazon Neptune Engine Updates