Amazon Neptune Global Database
Pricing
With Neptune Global Database, you pay for the resources used in the AWS Regions where your Neptune cluster is present based on the on-demand Neptune instance and for storage prices for that Region. In addition, you pay for replicated write I/Os, which will capture writes, inserts, and deletes between the primary and each secondary cluster. For full pricing and Regional availability see Neptune pricing.
Getting started
Get started with Neptune, a fully managed graph database
Neptune is a fast, reliable, fully managed graph database service that makes it easier to build and run applications that work with highly connected datasets. The core of Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Neptune supports popular graph models property graph and W3C's RDF and their respective query languages openCypher, Apache TinkerPop Gremlin, and SPARQL, allowing you to more easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and IT security.
Overview
Amazon Neptune Global Database is designed for globally distributed applications, allowing a single Neptune database to span multiple AWS Regions. It replicates your data with little impact to database performance, enables fast local reads with low latency in each Region, and provides disaster recovery in case of region-wide outages. With Neptune Global Database, you can now deploy a primary Neptune database cluster in one AWS Region and replicate its data in up to five secondary read-only database clusters (with up to 16 read replicas each) in different AWS Regions.
Neptune Global Database uses storage-based replication with typical latency of less than 1 second, using dedicated infrastructure that leaves your database fully available to serve application workloads. In the unlikely event of an AWS Regional degradation or outage, one of the secondary AWS Regions can be promoted to read and write capabilities in a Neptune Global Database.
Why AWS databases?
AWS databases offer a high-performance, secure, and reliable foundation to power generative AI solutions and data-driven applications that drive value for your business and customers. AWS high-performance databases support any workload or use case, including relational databases with 3-5x faster throughput than alternatives, purpose-built databases with microsecond latency, and built-in vector database capabilities with fastest throughput at the highest recall rates. AWS provides serverless options that remove the need to manage capacity by instantly scaling on demand. AWS databases deliver unmatched security with encryption at rest and in transit, network isolation, authentication, resolution of anomalies, and rigorous adherence to compliance standards. They are highly reliable because the data is automatically replicated across multiple Availability Zones within an AWS Region. With 15+ database engines optimized for the application’s data model, AWS fully managed databases remove the undifferentiated heavy lifting of database administrative tasks.
Benefits of AWS cloud databases
Learn about AWS vector database capabilities
Easy ways to improve price performance and optimize costs
up to 20%+
price-performance improvement with AWS Graviton3 on Amazon Aurora and Amazon RDS
up to 30%
cost savings with Amazon Aurora Optimized Reads and up to 8x improved query latency
up to 90%
cost savings with Amazon Aurora Serverless v2 and Amazon Neptune Serverless
up to 66%
cost savings with Amazon DynamoDB import from S3 vs. client-based writes with provisioned capacity
up to 72%
increased throughput and up to 71% reduction in latency with Amazon ElastiCache
up to 46%
increased throughput and up to 21% reduction in P99 latency with Amazon MemoryDB
Our most popular content
Database services
Relational Database
Relational databases store data with predefined schemas and relationships between them. These databases are designed to support ACID transactions, and maintain referential integrity and strong data consistency.
Amazon Aurora
MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost
Amazon Relational Database Service (RDS)
Set up, operate, and scale a relational database in the cloud with just a few clicks
Amazon Redshift
Analyze all of your data with the fastest and most widely used cloud data warehouse
Key-value Database
Key-value databases are optimized for common access patterns, typically to store and retrieve large volumes of data. These databases deliver quick response times, even in extreme volumes of concurrent requests.
Amazon DynamoDB
Get a fast, flexible, and serverless NoSQL database for any scale, to support key-value and document workloads
In-memory Database
In-memory databases are used for applications that require real-time access to data. By storing data directly in memory, these databases deliver microsecond latency to applications for whom millisecond latency is not enough.
Document Database
A document database is designed to store semistructured data as JSON-like documents. These databases help developers build and update applications quickly.
Amazon DocumentDB (with MongoDB compatibility)
Scale JSON workloads with ease using an enterprise-ready document database service compatible with MongoDB.
Graph Database
Graph databases are for applications that need to navigate and query millions of relationships between highly connected graph datasets with millisecond latency at large scale.
Amazon Neptune
Build applications that work with highly connected datasets using a fast, reliable graph database service.
Wide Column Database
A wide column store is a type of NoSQL database. It uses tables, rows, and columns, but unlike a relational database, the names and format of the columns can vary from row to row in the same table.
Amazon Keyspaces
Run your Apache Cassandra workloads on a scalable, highly available, and managed wide column database service.
Time Series Database
Time-series databases efficiently collect, synthesize, and derive insights from data that changes over time and with queries spanning time intervals.
Amazon Timestream
Store and analyze trillions of events per day with a fast, scalable, and serverless time series database service.
Featured solutions on AWS
AWS database solutions encompass database migration, modernization, and workload resiliency to provide a dependable path and rapid progress towards powering modern applications.
Workload resiliency
Rely on AWS for workload resilience solutions including backup, failover, and recovery, ensuring operational continuity even with exponential data growth. AWS offers multi-region databases for reduced latency across AWS Regions while improving your disaster recovery posture.
Migration & modernization
Accelerate your migration to the cloud with solutions that offer practical approaches for assessing, planning, and building the right database migration path for your organization.
Samsung migrated 1.1 billion users across three continents from Oracle to Amazon Aurora.
"The scalability of Amazon Aurora is the best benefit—especially if we focus on the cost. Samsung reduced monthly database costs by 44%."
- Salva Jung, Principal Architect and Engineering Manager
Case studies
Experian uses Amazon DynamoDB and Amazon Aurora’s high availability to achieve 100 percent operation uptime. Learn more »
A+E Networks uses serverless AWS databases to facilitate expansion by creating microservices-driven cloud-native applications. Learn more »
Pokémon migrated to AWS purpose-built databases to save tens of thousands of dollars per month. Learn more »
Cathay Pacific modernized its passenger revenue optimization system on AWS and increased performance by 20 percent. Learn more »