A fully managed graph database service from AWS, purpose-built for storing and querying highly connected data. Like a relationship map that shows how everything in your world is connected, Neptune excels at traversing billions of relationships with millisecond latency. It supports two popular graph models: Property Graph (with Apache TinkerPop Gremlin queries) and RDF (with SPARQL queries), making it suitable for both application developers and semantic web use cases. Neptune provides high availability with read replicas across multiple Availability Zones, automatic backups, and encryption at rest and in transit.
A social media platform uses Amazon Neptune to power their friend recommendation engine. When a user opens the app, Neptune traverses the social graph to find friends-of-friends with shared interests, groups, and check-in locations — analyzing millions of relationships in under 50 milliseconds. The same graph database also powers their content moderation system, quickly identifying clusters of accounts exhibiting coordinated inauthentic behavior by detecting unusual connection patterns.
Amazon Neptune is a managed graph database supporting both Property Graph (Gremlin) and RDF (SPARQL). Azure Cosmos DB offers a managed graph option via the Gremlin API (property graph only, not RDF/SPARQL). Google Cloud does not offer a first-party managed database that directly matches Neptune’s combination of Gremlin + SPARQL; graph workloads are commonly built with partner products or custom deployments. Oracle Cloud has graph capabilities through Oracle Database graph features and related graph tooling, but it is not a like-for-like managed Neptune equivalent with the same dual-model focus.