Amazon Neptune

AWS managed graph database service

paidproductionawsmanagedgraphgremlinsparql

Memory Types

semantic, graph, relational

Integrations

aws, sagemaker, lambda, glue


Overview


Amazon Neptune is AWS's fully managed graph database service supporting both property graph and RDF graph models. Neptune supports popular graph query languages including Gremlin, SPARQL, and openCypher, making it versatile for different graph use cases. As an AWS service, Neptune integrates seamlessly with the broader AWS ecosystem.


Neptune is designed for high availability and durability, with automatic backups, point-in-time recovery, and multi-AZ replication. For organizations already on AWS, Neptune provides a turnkey graph database solution without operational overhead.


Key Features


  • **Fully Managed**: No server management required
  • **Multiple Query Languages**: Gremlin, SPARQL, openCypher
  • **High Availability**: Multi-AZ replication
  • **Serverless Option**: Pay-per-request pricing
  • **Fast Performance**: Low-latency queries
  • **AWS Integration**: Seamless integration with AWS services
  • **Security**: IAM, VPC, encryption
  • **ML Integration**: Integration with SageMaker

  • When to Use Amazon Neptune


    Neptune is ideal for:

  • Organizations already on AWS
  • Knowledge graph applications on AWS
  • Applications needing high availability
  • Teams wanting managed graph database
  • Integration with AWS ML services
  • Projects requiring RDF/SPARQL support
  • Regulated industries needing AWS compliance

  • Pros


  • Fully managed by AWS
  • High availability and durability
  • Good AWS ecosystem integration
  • Supports multiple query languages
  • Serverless option available
  • No operational overhead
  • AWS security and compliance
  • Good performance

  • Cons


  • AWS lock-in
  • More expensive than self-hosted
  • Less features than Neo4j Enterprise
  • Limited compared to specialized graph DBs
  • Pricing can be complex
  • Cold starts with serverless
  • Not portable across clouds
  • Smaller community than Neo4j

  • Pricing


  • **Serverless**: $0.10 per million requests + storage
  • **Instance-Based**: $0.105/hour for small instances
  • **Storage**: $0.10 per GB/month
  • **I/O**: $0.20 per million requests