Amazon Neptune Serverless is now generally available. Neptune is a fully managed service that can be used to create relationship graphs of highly connected datasets, such as knowledge graphs, fraud graphs, identity graphs, and security graphs.

Neptune is based on a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. It supports two open standards for describing and querying graphs - Apache TinkerPop3 style Property Graphs queried with Gremlin, and Resource Description Framework (RDF) queried with SPARQL.

Gremlin is a graph traversal language where a query is a traversal made up of discrete steps following an edge to a node, while SPARQL is a declarative language based on Semantic Web standards from W3C.

Amazon Neptune Serverless can be used to run and instantly scale graph workloads without the need to manage and optimize database capacity. The service can be used to create a graph database for your workload using either Apache TinkerPop Gremlin, openCypher, and SPARQL. Neptune Serverless then works out the requirements and provisions the compute and memory resources to run the graph database. As demand changes, the service scales capacity up and down based to maintain consistent performance. The service is charged by resources used.

Users can create a serverless Amazon Neptune graph through the AWS Management Console, the Command Line Interface (CLI), or from APIs, specifying the minimum and maximum capacity limit to manage costs. The Neptune team says the serverless option works well for development and testing environments, as you can create DB instances with a high enough maximum capacity to test your most demanding application, and a low minimum capacity for all the other times when the system may be idle between tests.

Neptune Serverless is available now.

More Information

Neptune Website

Neptune Serverless Website

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