Amazon Neptune vs MongoDB Atlas comparison

Amazon Web Services (AWS) and MongoDB are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.3, while MongoDB is ranked #3 with an average rating of 8.3. Amazon Web Services (AWS) holds a 7.7% mindshare in MND, compared to MongoDB’s 10.5% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 96% of MongoDB users who would recommend it.

Amazon Neptune

Read 4 Amazon Neptune reviews

794 Views
794 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 49 MongoDB Atlas reviews

4,420 Views
707 Comparison Views

96% willing to recommend

Amazon Neptune

MongoDB Atlas

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 5, 2025

MongoDB Atlas and Amazon Neptune are key players in the cloud database sector. MongoDB Atlas is preferred for its pricing and customer support, while Amazon Neptune is favored for its advanced features, justifying its higher cost.

Features: MongoDB Atlas offers document-oriented database capabilities, horizontal scalability, and ease of use for diverse applications. Amazon Neptune provides graph database features, support for complex queries, and efficient handling of linked data, making it ideal for graph-centric applications. Their foundational database model differences highlight their suitability for varying application scenarios.

Ease of Deployment and Customer Service: MongoDB Atlas provides straightforward deployment with automated processes and comprehensive support, including detailed documentation and 24/7 customer service. Amazon Neptune delivers efficient deployment through AWS integration but may need more initial setup guidance, especially for complex graph configurations. MongoDB Atlas is preferred for deployment ease, though both services offer solid support structures.

Pricing and ROI: MongoDB Atlas uses a competitive pay-as-you-go pricing model, appealing to startups and midsize businesses for cost efficiency and quick ROI. Rapid onboarding and efficient performance enhance ROI. Amazon Neptune's higher pricing reflects its specialized graph database features, with costs justified by advanced functionalities for graph data models. Pricing differences showcase a trade-off between cost and feature sets.

To learn more, read our detailed Amazon Neptune vs. MongoDB Atlas Report (Updated: September 2025).

Buyer's Guide

Amazon Neptune vs. MongoDB Atlas

September 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Neptune

Ranking in Managed NoSQL Databases

7th

Average Rating

8.6

Reviews Sentiment

4.5

Number of Reviews

Ranking in other categories

No ranking in other categories

MongoDB Atlas

Ranking in Managed NoSQL Databases

3rd

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (3rd)

Mindshare comparison

As of October 2025, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 7.7%, down from 14.9% compared to the previous year. The mindshare of MongoDB Atlas is 10.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Market Share Distribution
Product	Market Share (%)
MongoDB Atlas	10.5%
Amazon Neptune	7.7%
Other	81.8%

Managed NoSQL Databases

Featured Reviews

Reviewer3028812

Back End Developer at Zeta

Multiple graph models and languages support lead to efficient use, yet community growth brings challenges

The onboarding part and documentation where we could ideally use Amazon Neptune is excellent. Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph. It also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher. It is very comprehensive in supporting every requirement we had at Zetta. Amazon Neptune's best features include its multiple servers, each supporting different languages such as OpenCypher, SparkQL, and RDF. For the same RDF graph or property graph, we could use multiple languages to query on different servers. This is exceptional because we have one graph DB with two endpoints exposed where we could interact with different languages on the same graph. Additionally, Amazon has a Sagemaker Jupyter Notebook which interacts with the Amazon Neptune database itself, providing a clean UI for representing nodes since the Jupyter Notebook has predefined graph representation capabilities through queries.

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Laksiri Bala

DB Architect / Consultant at Virtusa Global

Room for improvement in data handling leads to enhanced cost-effective data management performance

It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

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

"The initial setup is actually simple."

"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."

"It is a scalable solution because we use quite a lot of data, and it handles it well."

"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."

"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."

"MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases."

"There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple features, including built-in backup, all under the same roof, without the need for external tools."

"It enables us to get work done quickly and get to our data."

"I rate MongoDB Atlas a nine out of ten."

More MongoDB Atlas pros

Cons

"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."

"We had a strict time constraint, and it took many sleepless nights to find information in the documentation."

"In my scenario, the integration wasn't easy because ................in Java."

"The initial setup is not too difficult but can be somewhat tricky."

"I would like a better dashboard. It could be made a bit more user friendly."

"We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered."

"The product does not have ORM."

"The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS."

"We need improved query performance."

"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."

"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."

More MongoDB Atlas cons

Pricing and Cost Advice

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

"The pricing is acceptable for enterprise tier."

"The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments."

"The solution is fairly priced. I rate the pricing a seven out of ten."

"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."

"The price of MongoDB Atlas is highly affordable."

"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."

"Comparing the price between the MongoDB and Microsoft SQL Server, we are using the enterprise edition of Microsoft SQL Server, which is more expensive than MongoDB."

"The purchasing process through the AWS Marketplace was very good."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

17%

Construction Company

University

Computer Software Company

16%

Financial Services Firm

13%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	22
Midsize Enterprise	10
Large Enterprise	20

Questions from the Community

What is your experience regarding pricing and costs for Amazon Neptune?

The cost aspects were managed by our SRE team who provisioned the instances. The pricing structure is similar to how EC2 instance pricing varies. I was informed that it was somewhat expensive, thou...

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What needs improvement with Amazon Neptune?

The main issue was the limited community of Amazon Neptune users, which meant everything needed to be explored independently. Although this was adventurous, it required more time investment in the ...

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What is your primary use case for Amazon Neptune?

We managed traffic at Zetta, and traffic would be moving between multiple services in our microservice architecture. Because of this setup, we were using Amazon Neptune to understand how many reque...

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What do you like most about MongoDB Atlas?

There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...

See all answers

What is your experience regarding pricing and costs for MongoDB Atlas?

The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.

See all answers

What needs improvement with MongoDB Atlas?

There is nothing about MongoDB Atlas I would like to improve or any weak points at this time. I have not thought through what other features I would like to see included in future updates. MongoDB ...

See all answers

Comparisons

Microsoft Azure Cosmos DB vs Amazon Neptune

Compared 30% of the time

Neo4j AuraDB vs Amazon Neptune

Compared 29% of the time

Amazon DynamoDB vs Amazon Neptune

Compared 18% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 13% of the time

Amazon Timestream vs Amazon Neptune

Compared 10% of the time

More Amazon Neptune Competitors

Amazon RDS vs MongoDB Atlas

Compared 20% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 11% of the time

MongoDB Enterprise Advanced vs MongoDB Atlas

Compared 9% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 7% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 7% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Amazon Neptune

October 2025

Download Amazon Neptune product report

Buyer's Guide

MongoDB Atlas

September 2025

Download MongoDB Atlas product report

Also Known As

No data available

Atlas, MongoDB Atlas (pay-as-you-go)

Overview

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.

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 Web Services (AWS)

MongoDB Atlas stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.

MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.

What are the key features of MongoDB Atlas?

Schemaless Architecture: Flexible data storage without predefined structure.
Automatic Scaling: Dynamically adjusts resources to meet demand.
Advanced Security: Encryption and role-based access control.
User-Friendly Interface: Simplified management and operation.
Robust API Support: Facilitates integration with applications.

What benefits should you consider in a solution like MongoDB Atlas?

Cost-Effective Management: Minimizes setup and operational costs.
Dynamic Data Management: Adapts to varying business demands.
Seamless Integration: Connects easily with other tools and frameworks.
High Performance: Optimized for real-time data processing and visualization.
Reliable Support: Accessible assistance and comprehensive documentation.

In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.

MongoDB

Sample Customers

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

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.

Buyer's Guide

Amazon Neptune vs. MongoDB Atlas

September 2025

Free Report: Amazon Neptune vs. MongoDB Atlas

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