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Amazon Neptune Reviews

Vendor: Amazon Web Services (AWS)
4.3 out of 5
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What is 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. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to 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 network security.

Get the Amazon Neptune Buyer's Guide and find out what your peers are saying about Amazon Neptune, Microsoft Azure Cosmos DB, MongoDB Enterprise Advanced and more!
Amazon Neptune is the #9 ranked solution in top Managed NoSQL Databases. PeerSpot users give Amazon Neptune an average rating of 8.6 out of 10. Amazon Neptune is most commonly compared to Microsoft Azure Cosmos DB: Amazon Neptune vs Microsoft Azure Cosmos DB. Amazon Neptune is popular among the large enterprise segment, accounting for 73% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 21% of all views.
Buyer's Guide
Amazon Neptune
March 2026
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Amazon Neptune mindshare

As of April 2026, the mindshare of Amazon Neptune in the Managed NoSQL Databases category stands at 6.9%, down from 13.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Managed NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Amazon Neptune6.9%
Microsoft Azure Cosmos DB16.0%
MongoDB Atlas13.3%
Other63.8%
Managed NoSQL Databases

PeerResearch reports based on Amazon Neptune reviews

TypeTitleDate
CategoryManaged NoSQL DatabasesApr 1, 2026Download
ProductReviews, tips, and advice from real usersApr 1, 2026Download
ComparisonAmazon Neptune vs Microsoft Azure Cosmos DBApr 1, 2026Download
ComparisonAmazon Neptune vs Amazon DynamoDBApr 1, 2026Download
ComparisonAmazon Neptune vs MongoDB AtlasApr 1, 2026Download
Suggested products
TitleRatingMindshareRecommending
Microsoft Azure Cosmos DB4.116.0%95%109 interviewsAdd to research
MongoDB Enterprise Advanced4.110.9%92%82 interviewsAdd to research
 
 
Key learnings from peers
Last updated Mar 27, 2026

Valuable Features

  • "The stability of Amazon Neptune is very good."
  • "Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph, and it also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher, making it very comprehensive in supporting every requirement we had at Zetta."
  • "Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph, and it also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher, making it very comprehensive in supporting every requirement we had at Zetta."

Room for Improvement

Amazon Neptune requires more awareness due to its new technology. A visual representation of graphs is needed, similar to Neo4j. Improvements could include a UI that shows vertices and connections. Downtime during scalability, backward compatibility issues, and a small user community are concerns. Delving into documentation was time-consuming, with some sections providing incorrect information. More clarity in documentation and better technical support would enhance the overall experience.
  • "Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new."
  • "We had a strict time constraint, and it took many sleepless nights to find information in the documentation."
  • "We had a strict time constraint, and it took many sleepless nights to find information in the documentation."

Pricing

  • "Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices."

Popular Use Cases

Amazon Neptune is primarily used for maintaining employee and customer hierarchies, tracking hierarchy history, real-time fraud detection, and managing microservice architecture traffic. Organizations use graph data with vertices and edges to represent complex relationships, like social networks, user data, and service requests. Data science jobs are triggered for real-time insights, helping organizations understand network interactions, service health, and request patterns, while switching from other databases like Neo4j due to cost considerations.

Deployment

Amazon Neptune's initial setup is considered straightforward by users, with AWS handling most aspects. Creating a Neptune database is possible with an AWS account and VPC. However, integrating with frameworks like Quarkus in Java can present challenges, though built-in SDKs ease integration for plain Java or Spring Boot applications. Deploying a new database often involves just a few clicks, making setup generally simple but potentially requiring extra methods for specific frameworks.

Stability

Amazon Neptune exhibits high stability. Many organizations found relational databases too restrictive and opted for this alternative. Users report no issues or outages, describing their experience as smooth and reliable. During POC trials, there were no downtime incidents, eliminating the need to test self-healing capacities.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Amazon Neptune Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews
Financial Services Firm
21%
University
13%
Computer Software Company
10%
Insurance Company
7%
Construction Company
6%
Media Company
6%
Transportation Company
5%
Educational Organization
5%
Retailer
3%
Manufacturing Company
3%
Healthcare Company
2%
Pharma/Biotech Company
2%
Government
2%
Outsourcing Company
2%
Wholesaler/Distributor
1%
Energy/Utilities Company
1%
Hospitality Company
1%
Logistics Company
1%
Marketing Services Firm
1%
Non Profit
1%
Performing Arts
1%
Recruiting/Hr Firm
1%
Venture Capital & Private Equity Firm
1%
Comms Service Provider
1%

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Learn more about Amazon Neptune

Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for HTTPS encrypted client connections and encryption at rest. Neptune is fully managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

Amazon Neptune customers

Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense

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Amazon Neptune Reviews Summary
Author infoRatingReview Summary
Back End Developer at Zeta4.0I used Amazon Neptune to monitor service traffic at Zetta and found its multi-graph model and query language support excellent, though limited community support and incomplete documentation made adoption time-consuming during our strict deadlines.
Principal Engineer at Paynearby4.5I switched from Neo4j to Amazon Neptune to manage employee and customer hierarchy due to cost concerns. However, Neptune lacks a visual graph representation, which makes analyzing connections in the graph database less intuitive compared to Neo4j.
Senior Database Administrator at Summa Health System4.5I find Amazon Neptune a stable, scalable graph database excellent for identifying complex patterns like fraud, where relational databases fail. Setup is straightforward, but it needs more community awareness as the technology is new.
Staff Software Engineer at a tech vendor with 1,001-5,000 employees4.0I used Amazon Neptune at a gaming company for real-time fraud detection with graph data. Jupyter Notebooks integration was valuable, though improvements are needed for UI visualization and downtime during scaling. We previously used RDS and compared it to Neo4j on AWS.