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Database

Amazon Neptune

By Amazon Web Services

AdvancedService1.4K learners

Amazon Neptune is a fully managed Graph Database service on AWS that supports both property-graph queries (via Gremlin and openCypher) and RDF/SPARQL queries for modeling and traversing highly connected data.

Definition

Amazon Neptune is a fully managed Graph Database service on AWS that supports both property-graph queries (via Gremlin and openCypher) and RDF/SPARQL queries for modeling and traversing highly connected data.

Overview

Neptune targets use cases where relationships between data points matter as much as the data itself — social networks, fraud detection, recommendation engines — workloads that are awkward to express as JOINs in a traditional relational database but natural to model as nodes and edges in a graph. Unlike many graph databases that support only one query paradigm, Neptune supports both the property-graph model (queried with Apache TinkerPop Gremlin or openCypher) and the RDF triple-store model (queried with SPARQL), letting teams choose the graph query language that fits their existing skills or tooling. As a managed AWS service, Neptune handles provisioning, patching, backups, and replication automatically, fitting into broader AWS data architectures alongside services like Amazon Aurora and Amazon DocumentDB; teams building AWS-centric data platforms often pair Neptune knowledge with broader training such as the AWS Solutions Architect or AWS Core Services courses.

Key Features

  • Support for both Gremlin/openCypher (property graph) and SPARQL (RDF)
  • Fully managed provisioning, patching, and backups
  • Read replicas for scaling graph query throughput
  • High availability across multiple AWS Availability Zones
  • Neptune ML for graph neural network-based predictions
  • Integration with other AWS services like Lambda and S3

Use Cases

Social network and relationship-based recommendation engines
Fraud detection through connected-entity analysis
Knowledge graphs and semantic search applications
Network and IT infrastructure dependency mapping

Frequently Asked Questions

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