Amazon Neptune
By Amazon Web Services
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