AWS Neptune is a managed graph database service designed to work with highly connected datasets. It supports both property graph and RDF graph models, enabling efficient querying of complex relationships using Gremlin and SPARQL queries.
AWS Neptune
AWS Neptune is a managed graph database service designed to work with highly connected datasets. It supports both property graph and RDF graph models, enabling efficient querying of complex relationships using Gremlin and SPARQL queries.
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About AWS Neptune
AWS Neptune was launched by Amazon Web Services in 2017. It was developed to address the need for a fully managed graph database service capable of handling highly connected data and complex queries efficiently. The service aimed to provide robust support for both property graph and RDF graph models, catering to various use cases in social networking, recommendation engines, fraud detection, and knowledge graphs.
Strengths of AWS Neptune include its fully managed nature, support for both property graph and RDF graph models, high availability, and scalability. Weaknesses include potentially higher costs compared to self-managed solutions and limited support for some advanced graph database features. Competitors include Neo4j, Microsoft Azure Cosmos DB, and Google Cloud's Graph Engine.
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How to hire a AWS Neptune expert
An AWS Neptune expert must have skills in graph database design and management, proficiency in Gremlin and SPARQL query languages, experience with AWS services and architecture, knowledge of data modeling for both property graphs and RDF graphs, and expertise in performance tuning and optimization for graph databases.
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