Amazon Neptune logo

Amazon Neptune

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. It supports property graph and RDF models, with multiple query languages including Gremlin, SPARQL, and openCypher.

9 APIs 10 Features
DatabaseGraph DatabaseGremlinNeptuneProperty GraphRDFSPARQL

APIs

Amazon Neptune Management API

Amazon Neptune Management API for creating, managing, and deleting Neptune DB clusters, instances, parameter groups, snapshots, and related infrastructure resources.

Amazon Neptune Data API

Amazon Neptune Data API provides SDK support for more than 40 data operations including data loading, query execution, data inquiry, and machine learning. It supports Gremlin an...

Neptune Gremlin API

Apache TinkerPop Gremlin graph traversal language API for querying property graphs in Neptune. It supports both WebSocket and HTTP REST endpoints for submitting Gremlin traversals.

Neptune SPARQL API

W3C SPARQL 1.1 query language API for querying RDF graphs in Neptune. It provides an HTTP REST endpoint compatible with the SPARQL 1.1 protocol specification.

Neptune openCypher API

openCypher graph query language API for querying property graphs with Cypher syntax in Neptune. It provides an HTTP endpoint for executing openCypher queries against property gr...

Neptune Streams API

Neptune Streams generates a complete sequence of change-log entries that record every change made to graph data as it happens, enabling real-time capture of graph mutations via ...

Neptune Loader API

Neptune bulk loader API for ingesting large volumes of data from Amazon S3 into a Neptune DB instance. It supports CSV formats for property graphs and multiple RDF serialization...

Neptune ML API

Neptune ML enables machine learning on graph data using graph neural networks. It provides APIs for data processing, model training, and inference endpoint management powered by...

Neptune Analytics API

Neptune Analytics is a memory-optimized graph database engine for analytics, providing optimized graph analytic algorithms, low-latency queries, and vector search capabilities w...

Features

Serverless Graph Database

Automatically scales compute and memory resources based on workload demands without requiring capacity planning.

Multiple Query Language Support

Supports Apache TinkerPop Gremlin, openCypher, and SPARQL 1.1 query languages for property graph and RDF models.

High Availability

Multi-AZ deployment with up to 15 read replicas, automated failover, and continuous backups with point-in-time recovery up to 35 days.

Global Database

Multi-region replication with sub-second latency across up to five secondary clusters for global applications.

Neptune Analytics

Memory-optimized graph analytics engine for analyzing tens of billions of relationships within seconds with vector search capabilities.

GraphRAG Support

Fully managed GraphRAG with Amazon Bedrock Knowledge Bases for AI-enhanced graph retrieval augmented generation.

Machine Learning on Graphs

Native graph neural network support via Neptune ML powered by Amazon SageMaker for link prediction and node classification.

ACID Transactions

Full ACID transaction support ensuring data consistency and integrity across graph operations.

AWS Security Integration

VPC network isolation, IAM resource permissions, AWS KMS encryption, TLS in-transit encryption, and CloudWatch audit logging.

Auto-Expanding Storage

Storage automatically grows up to 128 TiB with self-healing architecture spanning three availability zones.

Use Cases

Knowledge Graphs and GraphRAG

Build knowledge graphs to enhance AI accuracy, comprehensiveness, and explainability using GraphRAG with Amazon Bedrock.

Fraud Detection

Model transaction and account relationship networks to detect fraudulent patterns in near real-time using graph traversals.

Customer 360

Build unified customer profile graphs linking purchases, preferences, and interactions for personalization and marketing.

Cybersecurity and Threat Detection

Model IT infrastructure as a connected graph to detect attack paths, anomalies, and proactive threats.

Recommendation Engines

Power product and content recommendation engines by traversing user-item relationship graphs.

Social Networks

Model and query highly connected social graph data for applications requiring relationship traversal at scale.

Network and IT Operations

Map network topology, dependencies, and configuration relationships for operations and impact analysis.

Supply Chain Management

Model complex supply chain relationships and dependencies for optimization and risk analysis.

Semantic Vocabularies

Amazon Neptune Analytics Context

13 classes · 44 properties

JSON-LD

Amazon Neptune Context

10 classes · 15 properties

JSON-LD

Amazon Neptune Data Context

26 classes · 120 properties

JSON-LD

Amazon Neptune Gremlin Context

5 classes · 20 properties

JSON-LD

Amazon Neptune Loader Context

5 classes · 21 properties

JSON-LD

Amazon Neptune Management Context

14 classes · 56 properties

JSON-LD

Amazon Neptune Ml Context

10 classes · 50 properties

JSON-LD

Amazon Neptune Opencypher Context

7 classes · 21 properties

JSON-LD

Amazon Neptune Sparql Context

5 classes · 22 properties

JSON-LD

Amazon Neptune Streams Context

6 classes · 20 properties

JSON-LD

API Governance Rules

Amazon Neptune API Rules

25 rules · 11 errors 11 warnings 3 info

SPECTRAL

Resources

🔗
PostmanWorkspace
PostmanWorkspace
🔗
ArazzoWorkflows
ArazzoWorkflows
🌐
Portal
Portal
🔗
Documentation
Documentation
🚀
GettingStarted
GettingStarted
🔑
Authentication
Authentication
📰
Blog
Blog
📄
ChangeLog
ChangeLog
📄
ReleaseNotes
ReleaseNotes
🟢
StatusPage
StatusPage
💬
Support
Support
📜
TermsOfService
TermsOfService
📜
PrivacyPolicy
PrivacyPolicy
👥
GitHubOrganization
GitHubOrganization
🔗
Community
Community
🔗
Website
Website
🔗
Login
Login
📝
SignUp
SignUp
💬
FAQs
FAQs
🔗
Security
Security
🔗
ServiceLevelAgreement
ServiceLevelAgreement
🌐
Console
Console
👥
GitHub Samples
GitHub Samples
📦
SDKs
SDKs
🔧
Tools
Tools
💰
Pricing
Pricing
🔗
JSONLD
JSONLD
🔗
DB Cluster Schema
JSONSchema
🔗
DB Instance Schema
JSONSchema
🔗
Graph Element Schema
JSONSchema
🔗
Loader Job Schema
JSONSchema
🔗
Stream Record Schema
JSONSchema
🔗
Analytics Graph Schema
JSONSchema
🔗
ML Job Schema
JSONSchema
🔗
SpectralRules
SpectralRules
🔗
Vocabulary
Vocabulary
🔗
Analytics Context
JSONLD
🔗
Data Context
JSONLD
🔗
Gremlin Context
JSONLD
🔗
Loader Context
JSONLD
🔗
Management Context
JSONLD
🔗
Ml Context
JSONLD
🔗
Opencypher Context
JSONLD
🔗
Sparql Context
JSONLD
🔗
Streams Context
JSONLD

Sources

Raw ↑
name: Amazon Neptune
description: >-
  Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run
  applications that work with highly connected datasets. It supports property graph and RDF models, with multiple query
  languages including Gremlin, SPARQL, and openCypher.
image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
tags:
  - AWS
  - Database
  - Graph Database
  - Gremlin
  - Neptune
  - Property Graph
  - RDF
  - SPARQL
created: '2024'
modified: '2026-05-19'
specificationVersion: '0.18'
apis:
  - name: Amazon Neptune Management API
    description: >-
      Amazon Neptune Management API for creating, managing, and deleting Neptune DB clusters, instances, parameter
      groups, snapshots, and related infrastructure resources.
    image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
    humanUrl: https://aws.amazon.com/neptune/
    baseUrl: https://rds.{region}.amazonaws.com
    tags:
      - AWS
      - Cluster Management
      - Database Management
      - Graph Database
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/neptune/latest/userguide/intro.html
      - type: OpenAPI
        url: openapi/amazon-neptune-management-openapi.yml
      - type: APIReference
        url: https://docs.aws.amazon.com/neptune/latest/userguide/api.html
      - type: Pricing
        url: https://aws.amazon.com/neptune/pricing/
      - type: GettingStarted
        url: https://docs.aws.amazon.com/neptune/latest/userguide/get-started.html
      - type: SDKs
        url: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/neptune.html
  - name: Amazon Neptune Data API
    description: >-
      Amazon Neptune Data API provides SDK support for more than 40 data operations including data loading, query
      execution, data inquiry, and machine learning. It supports Gremlin and openCypher query languages.
    image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
    humanUrl: https://docs.aws.amazon.com/neptune/latest/userguide/data-api.html
    baseUrl: https://neptune-db.{region}.amazonaws.com
    tags:
      - Data API
      - Data Operations
      - Graph Query
      - SDK
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/neptune/latest/userguide/data-api.html
      - type: OpenAPI
        url: openapi/amazon-neptune-data-openapi.yml
      - type: APIReference
        url: https://docs.aws.amazon.com/neptune/latest/data-api/Welcome.html
      - type: SDKs
        url: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/neptunedata.html
      - type: CLI Reference
        url: https://docs.aws.amazon.com/cli/latest/reference/neptunedata/
      - type: JavaScript SDK
        url: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/neptunedata/
      - type: Go SDK
        url: https://docs.aws.amazon.com/sdk-for-go/api/service/neptunedata/
  - name: Neptune Gremlin API
    description: >-
      Apache TinkerPop Gremlin graph traversal language API for querying property graphs in Neptune. It supports both
      WebSocket and HTTP REST endpoints for submitting Gremlin traversals.
    image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
    humanUrl: https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-gremlin.html
    baseUrl: wss://{cluster-endpoint}:8182/gremlin
    tags:
      - Graph Traversal
      - Gremlin
      - Property Graph
      - Query Language
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-gremlin.html
      - type: OpenAPI
        url: openapi/amazon-neptune-gremlin-openapi.yml
      - type: Reference
        url: https://docs.aws.amazon.com/neptune/latest/userguide/gremlin-api-reference.html
      - type: Gremlin Reference
        url: https://tinkerpop.apache.org/docs/current/reference/
      - type: Best Practices
        url: https://docs.aws.amazon.com/neptune/latest/userguide/best-practices-gremlin.html
      - type: REST Endpoint
        url: https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-gremlin-rest.html
  - name: Neptune SPARQL API
    description: >-
      W3C SPARQL 1.1 query language API for querying RDF graphs in Neptune. It provides an HTTP REST endpoint compatible
      with the SPARQL 1.1 protocol specification.
    image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
    humanUrl: https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-sparql.html
    baseUrl: https://{cluster-endpoint}:8182/sparql
    tags:
      - Query Language
      - RDF
      - Semantic Web
      - SPARQL
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-sparql.html
      - type: OpenAPI
        url: openapi/amazon-neptune-sparql-openapi.yml
      - type: SPARQL Reference
        url: https://www.w3.org/TR/sparql11-query/
      - type: Best Practices
        url: https://docs.aws.amazon.com/neptune/latest/userguide/best-practices-sparql.html
      - type: REST Endpoint
        url: https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-sparql-http-rest.html
  - name: Neptune openCypher API
    description: >-
      openCypher graph query language API for querying property graphs with Cypher syntax in Neptune. It provides an
      HTTP endpoint for executing openCypher queries against property graph data.
    image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
    humanUrl: https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-opencypher.html
    baseUrl: https://{cluster-endpoint}:8182/openCypher
    tags:
      - Cypher
      - openCypher
      - Property Graph
      - Query Language
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/neptune/latest/userguide/access-graph-opencypher.html
      - type: OpenAPI
        url: openapi/amazon-neptune-opencypher-openapi.yml
      - type: openCypher Reference
        url: https://opencypher.org/
      - type: Best Practices
        url: https://docs.aws.amazon.com/neptune/latest/userguide/best-practices-opencypher.html
  - name: Neptune Streams API
    description: >-
      Neptune Streams generates a complete sequence of change-log entries that record every change made to graph data as
      it happens, enabling real-time capture of graph mutations via a REST API.
    image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
    humanUrl: https://docs.aws.amazon.com/neptune/latest/userguide/streams.html
    baseUrl: https://{cluster-endpoint}:8182
    tags:
      - Change Data Capture
      - Event Log
      - Real-Time
      - Streams
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/neptune/latest/userguide/streams.html
      - type: OpenAPI
        url: openapi/amazon-neptune-streams-openapi.yml
      - type: APIReference
        url: https://docs.aws.amazon.com/neptune/latest/userguide/streams-using-api-call.html
      - type: Response Format
        url: https://docs.aws.amazon.com/neptune/latest/userguide/streams-using-api-reponse.html
      - type: Data API Reference
        url: https://docs.aws.amazon.com/neptune/latest/userguide/data-api-dp-streams.html
  - name: Neptune Loader API
    description: >-
      Neptune bulk loader API for ingesting large volumes of data from Amazon S3 into a Neptune DB instance. It supports
      CSV formats for property graphs and multiple RDF serialization formats.
    image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
    humanUrl: https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load.html
    baseUrl: https://{cluster-endpoint}:8182/loader
    tags:
      - Bulk Import
      - Data Ingestion
      - Data Loading
      - ETL
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load.html
      - type: OpenAPI
        url: openapi/amazon-neptune-loader-openapi.yml
      - type: APIReference
        url: https://docs.aws.amazon.com/neptune/latest/userguide/load-api-reference.html
      - type: Loader Command
        url: https://docs.aws.amazon.com/neptune/latest/userguide/load-api-reference-load.html
      - type: Data Formats
        url: https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load-tutorial-format.html
      - type: Data API Reference
        url: https://docs.aws.amazon.com/neptune/latest/userguide/data-api-dp-loader.html
  - name: Neptune ML API
    description: >-
      Neptune ML enables machine learning on graph data using graph neural networks. It provides APIs for data
      processing, model training, and inference endpoint management powered by Amazon SageMaker.
    image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
    humanUrl: https://aws.amazon.com/neptune/machine-learning/
    baseUrl: https://{cluster-endpoint}:8182/ml
    tags:
      - Graph Neural Network
      - Machine Learning
      - Predictions
      - SageMaker
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning.html
      - type: OpenAPI
        url: openapi/amazon-neptune-ml-openapi.yml
      - type: APIReference
        url: https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-api-reference.html
      - type: Model Training
        url: https://docs.aws.amazon.com/neptune/latest/userguide/data-api-dp-ml-training.html
      - type: GettingStarted
        url: https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-overview.html
  - name: Neptune Analytics API
    description: >-
      Neptune Analytics is a memory-optimized graph database engine for analytics, providing optimized graph analytic
      algorithms, low-latency queries, and vector search capabilities within graph traversals.
    image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
    humanUrl: https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html
    baseUrl: https://neptune-graph.{region}.amazonaws.com
    tags:
      - Analytics
      - Graph Analytics
      - In-Memory
      - Vector Search
    properties:
      - type: Documentation
        url: https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html
      - type: OpenAPI
        url: openapi/amazon-neptune-analytics-openapi.yml
      - type: APIReference
        url: https://docs.aws.amazon.com/neptune-analytics/latest/apiref/Welcome.html
      - type: SDKs
        url: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/neptune-graph.html
      - type: GettingStarted
        url: https://docs.aws.amazon.com/neptune-analytics/latest/userguide/gettingStarted-accessing.html
integrations:
  - name: Partner Programs
  - name: Resources
  - name: Success Stories
  - name: Work with an AWS Partner
  - name: AWS Marketplace
  - name: AWS Partner Central
  - name: Partner Paths
  - name: co-sell with AWS
maintainers:
  - name: Kin Lane
    email: [email protected]
    url: https://apievangelist.com
common:
  - type: PostmanWorkspace
    url: https://www.postman.com/kinlaneapi/amazon-neptune/overview
  - type: ArazzoWorkflows
    url: arazzo/
    workflows:
      - url: arazzo/amazon-neptune-analytics-cancel-import-task-workflow.yml
        name: Amazon Neptune Analytics Cancel Import Task
        summary: Inspect a Neptune Analytics import task and cancel it only if it is still running.
      - url: arazzo/amazon-neptune-analytics-create-graph-workflow.yml
        name: Amazon Neptune Analytics Create Graph and Wait
        summary: Create a Neptune Analytics graph and poll until it becomes AVAILABLE.
      - url: arazzo/amazon-neptune-analytics-import-task-workflow.yml
        name: Amazon Neptune Analytics Create Graph from Import Task
        summary: Create a Neptune Analytics graph populated from S3 and poll the import task to completion.
      - url: arazzo/amazon-neptune-analytics-private-endpoint-workflow.yml
        name: Amazon Neptune Analytics Create Private Graph Endpoint
        summary: Create a VPC private endpoint for a Neptune Analytics graph and poll until it is AVAILABLE.
      - url: arazzo/amazon-neptune-analytics-reset-graph-workflow.yml
        name: Amazon Neptune Analytics Reset Graph
        summary: Empty a Neptune Analytics graph of all data, then wait until it is AVAILABLE again.
      - url: arazzo/amazon-neptune-analytics-snapshot-and-restore-workflow.yml
        name: Amazon Neptune Analytics Snapshot and Restore
        summary: Snapshot a Neptune Analytics graph, wait for the snapshot, then restore it into a new graph.
      - url: arazzo/amazon-neptune-bulk-loader-poll-workflow.yml
        name: Amazon Neptune Bulk Loader Start and Poll
        summary: Start a bulk loader job from S3 and poll its status until the load completes.
      - url: arazzo/amazon-neptune-gremlin-add-and-count-vertices-workflow.yml
        name: Amazon Neptune Gremlin Add and Count Vertices
        summary: Add a labeled vertex over the Gremlin HTTP endpoint, then count vertices to confirm the write landed.
      - url: arazzo/amazon-neptune-gremlin-cancel-query-workflow.yml
        name: Amazon Neptune Cancel a Running Gremlin Query
        summary: Look up a specific Gremlin query's status, then cancel it if it has not already been cancelled.
      - url: arazzo/amazon-neptune-gremlin-explain-profile-workflow.yml
        name: Amazon Neptune Gremlin Explain then Profile
        summary: Inspect a Gremlin query's execution plan, then profile it with runtime statistics.
      - url: arazzo/amazon-neptune-gremlin-query-with-status-workflow.yml
        name: Amazon Neptune Gremlin Query with Status Check
        summary: Run a Gremlin traversal via the Data API and confirm the engine and query queue are healthy.
      - url: arazzo/amazon-neptune-loader-cancel-running-job-workflow.yml
        name: Amazon Neptune Cancel a Running Bulk Load
        summary: Look up a bulk load job's status and cancel it only if it is still in progress.
      - url: arazzo/amazon-neptune-loader-job-lifecycle-workflow.yml
        name: Amazon Neptune Bulk Load Job Lifecycle
        summary: Start a bulk load via the Loader endpoint, verify it appears in the job list, and poll its status.
      - url: arazzo/amazon-neptune-ml-create-inference-endpoint-workflow.yml
        name: Amazon Neptune ML Create and Verify Inference Endpoint
        summary: Create an ML inference endpoint from a trained model and poll it until it is in service.
      - url: arazzo/amazon-neptune-ml-dataprocessing-to-training-workflow.yml
        name: Amazon Neptune ML Data Processing to Model Training
        summary: Run a Neptune ML data processing job to completion, then launch and poll model training.
      - url: arazzo/amazon-neptune-ml-model-transform-workflow.yml
        name: Amazon Neptune ML Model Transform Job
        summary: Launch a Neptune ML model transform job from a trained model and poll it to completion.
      - url: arazzo/amazon-neptune-ml-stop-dataprocessing-job-workflow.yml
        name: Amazon Neptune ML Stop Data Processing Job
        summary: Inspect a Neptune ML data processing job and stop it with cleanup only if it is still running.
      - url: arazzo/amazon-neptune-opencypher-create-and-read-node-workflow.yml
        name: Amazon Neptune openCypher Create and Read Node
        summary: Create a node over the openCypher HTTP endpoint, then read nodes back to confirm the write.
      - url: arazzo/amazon-neptune-opencypher-explain-query-workflow.yml
        name: Amazon Neptune openCypher Explain then Execute
        summary: Inspect an openCypher query's execution plan, then run it for real.
      - url: arazzo/amazon-neptune-opencypher-query-with-status-workflow.yml
        name: Amazon Neptune openCypher Query with Status Check
        summary: Run an openCypher query via the Data API and inspect the openCypher query queue.
      - url: arazzo/amazon-neptune-propertygraph-statistics-refresh-workflow.yml
        name: Amazon Neptune Property Graph Statistics Refresh
        summary: Trigger a property graph statistics refresh and read back the updated graph summary counts.
      - url: arazzo/amazon-neptune-propertygraph-stream-replay-workflow.yml
        name: Amazon Neptune Property Graph Stream Replay
        summary: Read property graph change records from the start of the stream, then continue from the last event id.
      - url: arazzo/amazon-neptune-sparql-query-with-status-workflow.yml
        name: Amazon Neptune SPARQL Query with Status Check
        summary: Run a SPARQL query via the Data API and inspect the SPARQL query queue.
      - url: arazzo/amazon-neptune-sparql-statistics-refresh-workflow.yml
        name: Amazon Neptune SPARQL Statistics Refresh
        summary: Trigger an RDF statistics refresh and read back the updated triple-store counts.
      - url: arazzo/amazon-neptune-sparql-update-and-verify-workflow.yml
        name: Amazon Neptune SPARQL Update and Verify
        summary: Run a SPARQL INSERT DATA update, then run a SELECT query to confirm the triples landed.
  - type: Portal
    url: https://aws.amazon.com/neptune/
  - type: Documentation
    url: https://docs.aws.amazon.com/neptune/
  - type: GettingStarted
    url: https://aws.amazon.com/neptune/getting-started/
  - type: Authentication
    url: https://docs.aws.amazon.com/neptune/latest/userguide/iam-auth.html
  - type: Blog
    url: https://aws.amazon.com/blogs/database/category/database/amazon-neptune/
  - type: ChangeLog
    url: https://docs.aws.amazon.com/neptune/latest/userguide/doc-history.html
  - type: ReleaseNotes
    url: https://docs.aws.amazon.com/neptune/latest/userguide/engine-releases.html
  - type: StatusPage
    url: https://health.aws.amazon.com/
  - type: Support
    url: https://repost.aws/tags/TAxVAEdWg1SrS0lClUSX-m_Q
  - type: TermsOfService
    url: https://aws.amazon.com/service-terms/
  - type: PrivacyPolicy
    url: https://aws.amazon.com/privacy/
  - type: GitHubOrganization
    url: https://github.com/aws
  - type: Community
    url: https://repost.aws/
  - type: Website
    url: https://aws.amazon.com/neptune/
  - type: Login
    url: https://console.aws.amazon.com/neptune/
  - type: SignUp
    url: https://portal.aws.amazon.com/billing/signup
  - type: FAQs
    url: https://aws.amazon.com/neptune/faqs/
  - type: Features
    url: https://aws.amazon.com/neptune/features/
  - type: Security
    url: https://docs.aws.amazon.com/neptune/latest/userguide/security.html
  - type: ServiceLevelAgreement
    url: https://aws.amazon.com/neptune/sla/
  - type: Console
    url: https://console.aws.amazon.com/neptune/
  - type: GitHub Samples
    url: https://github.com/aws-samples/amazon-neptune-samples
  - type: SDKs
    url: https://docs.aws.amazon.com/neptune/latest/userguide/using-neptune-apis.html
  - type: Tools
    url: https://github.com/awslabs/amazon-neptune-tools
  - type: Pricing
    url: https://aws.amazon.com/neptune/pricing/
  - type: JSONLD
    url: json-ld/amazon-neptune-context.jsonld
  - type: JSONSchema
    url: json-schema/amazon-neptune-db-cluster-schema.json
    title: DB Cluster Schema
  - type: JSONSchema
    url: json-schema/amazon-neptune-db-instance-schema.json
    title: DB Instance Schema
  - type: JSONSchema
    url: json-schema/amazon-neptune-graph-element-schema.json
    title: Graph Element Schema
  - type: JSONSchema
    url: json-schema/amazon-neptune-loader-job-schema.json
    title: Loader Job Schema
  - type: JSONSchema
    url: json-schema/amazon-neptune-stream-record-schema.json
    title: Stream Record Schema
  - type: JSONSchema
    url: json-schema/amazon-neptune-analytics-graph-schema.json
    title: Analytics Graph Schema
  - type: JSONSchema
    url: json-schema/amazon-neptune-ml-job-schema.json
    title: ML Job Schema
  - type: Features
    data:
      - name: Serverless Graph Database
        description: >-
          Automatically scales compute and memory resources based on workload demands without requiring capacity
          planning.
      - name: Multiple Query Language Support
        description: >-
          Supports Apache TinkerPop Gremlin, openCypher, and SPARQL 1.1 query languages for property graph and RDF
          models.
      - name: High Availability
        description: >-
          Multi-AZ deployment with up to 15 read replicas, automated failover, and continuous backups with point-in-time
          recovery up to 35 days.
      - name: Global Database
        description: Multi-region replication with sub-second latency across up to five secondary clusters for global applications.
      - name: Neptune Analytics
        description: >-
          Memory-optimized graph analytics engine for analyzing tens of billions of relationships within seconds with
          vector search capabilities.
      - name: GraphRAG Support
        description: >-
          Fully managed GraphRAG with Amazon Bedrock Knowledge Bases for AI-enhanced graph retrieval augmented
          generation.
      - name: Machine Learning on Graphs
        description: >-
          Native graph neural network support via Neptune ML powered by Amazon SageMaker for link prediction and node
          classification.
      - name: ACID Transactions
        description: Full ACID transaction support ensuring data consistency and integrity across graph operations.
      - name: AWS Security Integration
        description: >-
          VPC network isolation, IAM resource permissions, AWS KMS encryption, TLS in-transit encryption, and CloudWatch
          audit logging.
      - name: Auto-Expanding Storage
        description: Storage automatically grows up to 128 TiB with self-healing architecture spanning three availability zones.
  - type: UseCases
    data:
      - name: Knowledge Graphs and GraphRAG
        description: >-
          Build knowledge graphs to enhance AI accuracy, comprehensiveness, and explainability using GraphRAG with
          Amazon Bedrock.
      - name: Fraud Detection
        description: >-
          Model transaction and account relationship networks to detect fraudulent patterns in near real-time using
          graph traversals.
      - name: Customer 360
        description: >-
          Build unified customer profile graphs linking purchases, preferences, and interactions for personalization and
          marketing.
      - name: Cybersecurity and Threat Detection
        description: Model IT infrastructure as a connected graph to detect attack paths, anomalies, and proactive threats.
      - name: Recommendation Engines
        description: Power product and content recommendation engines by traversing user-item relationship graphs.
      - name: Social Networks
        description: Model and query highly connected social graph data for applications requiring relationship traversal at scale.
      - name: Network and IT Operations
        description: Map network topology, dependencies, and configuration relationships for operations and impact analysis.
      - name: Supply Chain Management
        description: Model complex supply chain relationships and dependencies for optimization and risk analysis.
  - type: Integrations
    data:
      - name: Amazon Bedrock
        description: >-
          Integration with Bedrock Knowledge Bases for fully managed GraphRAG and AI-enhanced knowledge graph
          applications.
      - name: Amazon SageMaker
        description: Neptune ML uses SageMaker for training graph neural network models on Neptune graph data.
      - name: Amazon S3
        description: Bulk data loading from S3 using the Neptune Loader API with CSV and RDF serialization format support.
      - name: AWS IAM
        description: Fine-grained resource-level access control and role-based permissions via AWS Identity and Access Management.
      - name: Amazon CloudWatch
        description: Metrics, logs, and audit logging for monitoring Neptune cluster performance and compliance.
      - name: AWS KMS
        description: Encryption at rest using AWS Key Management Service for customer-managed key support.
      - name: Amazon VPC
        description: Network isolation using Amazon Virtual Private Cloud with security group and firewall controls.
      - name: Apache TinkerPop
        description: Gremlin graph traversal language and TinkerPop ecosystem integration for property graph querying.
      - name: Strands AI Agents SDK
        description: Integration with Strands AI Agents SDK and popular agentic memory tools for AI agent applications.
  - type: SpectralRules
    url: rules/amazon-neptune-spectral-rules.yml
  - type: Vocabulary
    url: vocabulary/amazon-neptune-vocabulary.yaml
  - type: JSONLD
    url: json-ld/amazon-neptune-analytics-context.jsonld
    title: Analytics Context
  - type: JSONLD
    url: json-ld/amazon-neptune-data-context.jsonld
    title: Data Context
  - type: JSONLD
    url: json-ld/amazon-neptune-gremlin-context.jsonld
    title: Gremlin Context
  - type: JSONLD
    url: json-ld/amazon-neptune-loader-context.jsonld
    title: Loader Context
  - type: JSONLD
    url: json-ld/amazon-neptune-management-context.jsonld
    title: Management Context
  - type: JSONLD
    url: json-ld/amazon-neptune-ml-context.jsonld
    title: Ml Context
  - type: JSONLD
    url: json-ld/amazon-neptune-opencypher-context.jsonld
    title: Opencypher Context
  - type: JSONLD
    url: json-ld/amazon-neptune-sparql-context.jsonld
    title: Sparql Context
  - type: JSONLD
    url: json-ld/amazon-neptune-streams-context.jsonld
    title: Streams Context
  - type: Integrations
    url: https://aws.amazon.com/partners/