Amazon Neptune Reviews

Name: Amazon Neptune
Brand: Amazon Web Services (AWS)
Rating: 4.3 (3 reviews)

4.3 out of 5

3 reviews
100% willing to recommend

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, Amazon DynamoDB and more!

Amazon Neptune is the #4 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 computer software company, accounting for 21% of all views.

Helped 856,873 peers since 2012

Featured Amazon Neptune reviews

Sachin Mhetre

Staff Software Engineer at SailPoint Technologies

So, I'm not using it currently, but when I was working with my last organization, which was a gaming company, we used Amazon Neptune for real-time fraud detection. We maintained user data, mobile device data, and other information as graph data. These vertices and the connections between them…

Read full review

Matthew Spieth

Senior Database Administrator at Summa Health System

Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is. Amazon Neptune is good for identifying fraud and many banks are using it. For example, know that I go to certain places all the time that are connected with nodes and edges, such as gas stations, shops, and Amazon. Since people are creatures of habit, the banks can use those nodes and edges to make a model of where I like to shop and spend money. If they see something pop up that's out of character for me, then they know immediately that it is possible fraud. They can determine this because a purchase I made was somewhere I never go or because of geography.

Read full review

AmitSharma27

Principal Engineer at Paynearby

Unlike Neo4j, which has visual representations of the graph, I haven't seen that in Neptune. I think Neptune should introduce that. I would like to see a visual representation of the graphs. By graphs, I refer to the data structure in the graph database. We should be able to visually see how the nodes we insert are connected. For example, on Facebook, people have multiple friends who have their own friends. We should be able to visually see the connections between people and how they are related when we run a query, instead of just getting results in JSON. This visual representation is helpful for analysis and other purposes.

Read full review

Amazon Neptune mindshare

As of June 2025, the mindshare of Amazon Neptune in the Managed NoSQL Databases category stands at 11.0%, down from 14.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Managed NoSQL Databases

PeerResearch reports based on Amazon Neptune reviews

Type	Title	Date
Category	Managed NoSQL Databases	Jun 15, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 15, 2025	Download
Comparison	Amazon Neptune vs Microsoft Azure Cosmos DB	Jun 15, 2025	Download
Comparison	Amazon Neptune vs Amazon DynamoDB	Jun 15, 2025	Download
Comparison	Amazon Neptune vs Amazon Timestream	Jun 15, 2025	Download

Title	Rating	Mindshare	Recommending
Microsoft Azure Cosmos DB	4.1	15.3%	95%	92 interviews Add to research
Amazon DynamoDB	4.1	17.1%	97%	43 interviews Add to research

Valuable Features

"The initial setup is actually simple."
"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."

Room for Improvement

"In my scenario, the integration wasn't easy because ................in Java."
"Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not understand it yet."

Pricing

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

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

Computer Software Company

21%

Financial Services Firm

17%

University

Government

Construction Company

Healthcare Company

Energy/Utilities Company

Insurance Company

Retailer

Educational Organization

Manufacturing Company

Logistics Company

Comms Service Provider

Recreational Facilities/Services Company

Wholesaler/Distributor

Non Profit

Pharma/Biotech Company

Transportation Company

Outsourcing Company

Media Company

Recruiting/Hr Firm

Marketing Services Firm

Venture Capital & Private Equity Firm

Performing Arts

Hospitality Company

Compare Amazon Neptune with alternative products

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.