
Amazon Neptune is a fully managed graph database service that supports two graph models: property graphs queried using Gremlin or openCypher, and RDF graphs queried using SPARQL. Users choose the model and query language at the point of data loading; the underlying storage engine is shared. It runs on AWS infrastructure with automated provisioning, patching, backup, and failover handled by the service. Storage scales automatically up to 128TB. It supports read replicas, multi-AZ deployments, and point-in-time recovery. A serverless option, Neptune Serverless, scales compute capacity automatically based on workload. Neptune Analytics, a separate but related service, adds in-memory graph analytics and vector search for running algorithms and similarity queries against graph data at interactive speeds. It is aimed at organisations already operating within AWS that need a graph database without the overhead of managing infrastructure. Primary use cases are knowledge graphs, identity and access graphs, fraud detection, network topology, and recommendation engines.