Amazon Neptune Pricing Overview

Amazon Neptune Pricing Key Insights

Last updated on Apr 09, 2026

Amazon Neptune does not offer a free trial. Information about Amazon Neptune pricing, plan availability, and costs is not listed on G2 by the vendor. Buyers typically need to engage directly with the vendor to understand pricing options. Final cost negotiations to purchase Amazon Neptune must be conducted with the seller.

Rated 4.3 / 5

*Pricing information is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations must be conducted with the seller.

Top-Rated Alternatives

Microsoft Azure Cosmos DB

4.2/5(68)

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Amazon Neptune Alternatives Pricing

The following is a quick overview of editions offered by other Database as a Service (DBaaS) Providers

Product	Price	Features
Neo4j Graph Database AuraDB Free	Free	A fully-managed graph database for free; no commitment required. console.neo4j.io
Arango ArangoGraph Insights Platform	Contact Us	The managed service for ArangoDB provides fully-hosted, managed, & monitored cluster deployments of any size, with enterprise-grade security. rices depend on selected cloud provider, region, disk & CPU size. Fully Managed: ArangoDB Oasis offers a fully-managed graph database, document store and full-text search engine. All in one place Highly Secure: Encryption at transit & at rest guarantee all your data is encrypted before it hits the disk or send over the network. In addition, you can assign fine-grained access control policies to your organization, your projects or deployments. This assigns permissions to groups or individual users Elastic Scale: You can elastically scale with all deployment models (OneShard & Sharded Clusters) at anytime and use the special Enterprise features for efficient queries against distributed data Oasis-as-code: Completely manage Oasis via a sophisticated API. Automate Oasis using your preferred language, script it using the oasisctl commandline tool or manage your infrastructure GitOps style using terraform Expert Support: Get support by the people who built Oasis and ArangoDBs distributed systems. You can choose between different support plans for every deployment ranging from good support in the free version to individual expert support with short response times in Oasis Enterprise Managed Backups Managed Encryption Managed Updates
OrientDB Community	FREE	The Community Edition is released with Apache2 license, that means FREE for any purpose.

Various alternatives pricing & plans

Pricing information for the above various Amazon Neptune alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

Amazon Neptune Pricing Reviews

(1)

Atharva P.

Cloud BI Engineer

Enterprise (> 1000 emp.)

7/30/2026

"Amazon Neptune: High-Performance Managed Graph Database with Gremlin & SPARQL"

4/5

What do you like best about Amazon Neptune?

Amazon Neptune provides a fully managed graph database optimized for highly connected datasets. I particularly like support for both Property Graph (Gremlin) and RDF/SPARQL, allowing us to model complex relationships without redesigning application architectures.

Performance has been excellent for fraud detection, recommendation engines, knowledge graphs, and dependency analysis where relational databases become inefficient. Automatic backups, Multi-AZ availability, encryption, and managed patching significantly reduce operational effort while providing enterprise-grade reliability. Review collected by and hosted on G2.com.

What do you dislike about Amazon Neptune?

Graph databases require a different modelling approach than relational databases, so developers may need time to adapt. Highly transactional workloads with simple relationships may not justify the additional complexity. Review collected by and hosted on G2.com.

What problems is Amazon Neptune solving and how is that benefiting you?

Neptune enabled efficient querying of highly connected business data that was difficult to model in traditional relational databases.

Example: Customer accounts, devices, transactions, and authentication events were represented as graph relationships. Fraud detection queries that previously required multiple expensive SQL joins executed much faster, enabling near real-time risk analysis. Review collected by and hosted on G2.com.