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Amazon Neptune

Paid
graph databaseawsdatabasedeveloper toolsnosqlpaasdata analysisknowledge graphfraud detectionserverless

A fast, reliable, and fully managed graph database service from AWS, optimized for building applications that work with highly connected datasets using Gremlin, openCypher, and SPARQL query languages.

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Amazon Neptune is a purpose-built, high-performance graph database engine from Amazon Web Services (AWS) that simplifies building and running applications with highly connected datasets. It is optimized for storing billions of relationships and querying the graph with millisecond latency, serving developers in domains like fraud detection, knowledge graphs, and recommendation engines. The service supports popular open graph query languages, including Apache TinkerPop's Gremlin, W3C's SPARQL, and openCypher, enabling developers to leverage existing skills. A key value proposition is its fully managed nature, which handles provisioning, patching, backup, and scaling, freeing teams to focus on application logic. Its architecture is built for high availability and durability, with data replicated across multiple Availability Zones.

Pros

  • Fully managed service automates patching, backups, and scaling, reducing operational overhead.
  • Supports multiple popular open query languages: Gremlin, SPARQL, and openCypher.
  • High performance architecture optimized for querying billions of relationships with low latency.
  • Designed for high availability and durability with data replication across multiple AWS Availability Zones.
  • Deep integration with the AWS ecosystem, including Lambda for triggers and S3 for bulk loading.
  • Serverless option automatically provisions and scales compute and memory resources.

Cons

  • Pricing can be complex and difficult to forecast, with separate charges for compute, storage, I/O, and data transfer.
  • Being a proprietary AWS service, it can lead to vendor lock-in, making migration to other platforms challenging.
  • The learning curve can be steep for developers unfamiliar with graph database concepts and query languages.
  • Query performance can sometimes be unpredictable for very complex traversal patterns.

Key features

  • Support for Property Graph (via Gremlin and openCypher) and RDF (via SPARQL) models.
  • Neptune Serverless for on-demand, auto-scaling capacity.
  • Neptune ML integrates graph-specific machine learning models for predictions.
  • Neptune Notebooks for interactive querying and data visualization.
  • Automated backups, point-in-time recovery, and snapshot capabilities.
  • Multi-AZ deployments with read replicas for high availability and read scaling.
  • Comprehensive security features including VPC network isolation and IAM database authentication.
  • Bulk loading from Amazon S3.

Integrations

Amazon S3AWS LambdaAmazon SageMakerAWS Identity and Access Management (IAM)Amazon CloudWatchAmazon VPCAWS GlueAmazon Kinesis Data StreamsAWS Database Migration Service (DMS)

Target audience

Developers, data scientists, and solutions architects building applications that require navigating complex relationships, such as recommendation engines, fraud detection systems, knowledge graphs, and social networking apps.

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Founded

2017

Headquarters

Seattle, USA

Pricing Tiers

AWS Free Tier

Includes 750 hours of a t3.medium or t4g.medium instance, 10 million I/O requests, 1 GB of storage, and 1 GB of backup storage for 12 months for new AWS accounts.

Free

Neptune Serverless

Billed based on Neptune Capacity Units (NCUs) consumed per second, plus storage and I/O costs. Automatically scales based on workload, ideal for variable or unpredictable traffic.

Pay-per-use

On-Demand Instances

Pay by the hour for the database instances you launch, with no long-term commitments. Price varies significantly based on instance size (e.g., T3/T4g, R5/R6g), plus storage and I/O costs.

From ~$40/mo

Frequently Asked Questions

Top Alternatives to Amazon Neptune

Neo4j AuraDB

A fully managed graph database service chosen for its mature platform, native graph processing, and the popular Cypher query language.

Azure Cosmos DB (Gremlin API)

Microsoft's multi-model database with a Gremlin API, often selected by organizations heavily invested in the Azure cloud ecosystem for its global distribution capabilities.

TigerGraph Cloud

A managed graph database service known for its extreme performance on deep link analytics, appealing to users with massive-scale, complex analytical queries.

ArangoDB

A multi-model database supporting graph, document, and key/value data in one engine, which might be preferred when an application requires more than just a pure graph model.

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