AWS Neptune

Founded by Matt Garman in 2018

Store, query, and analyze connected data relationships for knowledge graphs and fraud detection

Pricing model

Paid

Rating

★ Highly Positive

Time to value

Minutes to Hours

You can use Amazon Neptune to store and query highly connected data without managing database server capacity. It lets you build identity graphs, knowledge graphs, and fraud detection networks by linking billions of data points together. You can query complex relationships in near real-time, integrate graph context into generative AI models with GraphRAG, and scale read capacity using up to fifteen replicas. The service automatically handles cluster backups, point-in-time recovery, and hardware maintenance so your team can focus on developing connected applications.

What AWS Neptune does

Execute graph traversal queries using standard query languagesScale read replicas to handle high-throughput query spikesConnect graph data to AI knowledge bases for retrieval augmented generationRestore database clusters to specific historical points in timeModel and ingest relationship data between disparate business entitiesConfigure fine-grained access control policies and data encryptionServerless graph scaling without manual capacity planningBuilt-in GraphRAG integration with Amazon BedrockQuery execution across tens of billions of relationships in secondsUp to 15 read replicas per database clusterStorage capacity up to 128 TiB per clusterAutomated cross-region backups and point-in-time recovery

Pricing breakdown

Pricing model: Paid

Frequently asked

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