Amazon Neptune vs MongoDB Enterprise Advanced 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 #4 with an average rating of 8.4. Amazon Web Services (AWS) holds a 7.6% mindshare in MND, compared to MongoDB’s 11.3% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

Amazon Neptune

Read 4 Amazon Neptune reviews

776 Views
776 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

4,973 Views
597 Comparison Views

92% willing to recommend

Amazon Neptune

MongoDB Enterprise Advanced

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Nov 2, 2025

MongoDB Enterprise Advanced and Amazon Neptune compete in the database solutions category. MongoDB Enterprise Advanced seems to have the upper hand in flexibility and support, while Amazon Neptune excels in graph database performance.

Features: MongoDB Enterprise Advanced offers a document-based architecture, robust security features, and highly configurable indexing strategies suitable for diverse data environments. Amazon Neptune provides efficient graph database capabilities, supporting both property graph and RDF models, beneficial for applications needing advanced relationship handling.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced is known for its straightforward deployment and excellent support services with detailed documentation. Amazon Neptune benefits from seamless AWS integration, offering a managed service that simplifies scaling and maintenance.

Pricing and ROI: MongoDB Enterprise Advanced involves a higher initial setup cost due to its comprehensive support, promising substantial ROI through tailored assistance. Amazon Neptune follows the AWS pay-as-you-go model, potentially more cost-effective for graph-based workloads with ROI from managing complex relationships.

To learn more, read our detailed Amazon Neptune vs. MongoDB Enterprise Advanced Report (Updated: December 2025).

Buyer's Guide

Amazon Neptune vs. MongoDB Enterprise Advanced

December 2025

Download the complete report

Helped 879,310 peers since 2012

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 Enterprise Advanced

Ranking in Managed NoSQL Databases

4th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (4th), NoSQL Databases (1st)

Mindshare comparison

As of December 2025, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 7.6%, down from 15.3% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 11.3%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Market Share Distribution
Product	Market Share (%)
MongoDB Enterprise Advanced	11.3%
Amazon Neptune	7.6%
Other	81.1%

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.

Read full review

Fabien GOUINEAU

Architecte Cloud at Visiativ SA

Offers reliable engine for legacy needs but requires enhanced cost management and AI features

While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

Read full review

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."

"MongoDB is fast and efficient."

"MongoDB stores the JSON data, and it's easy for me to understand because I'm a JavaScript Developer."

"The aggregation framework is very powerful when elaborating on data."

"I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too."

"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."

"The Dynamic Application is a valuable feature."

"MongoDB's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data."

"It is convenient to use because we can do manipulations with the JSON data that we get. There are also a lot of joins and associations with MongoDB, which makes it easy to use for us."

More MongoDB Enterprise Advanced pros

Cons

"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."

"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."

"I think that MongoDB's search engine should be improved."

"The improvements could be made to intelligence to detect disk storage and prevent MongoDB from crashing."

"The performance can be improved."

"I would recommend MongoDB as part of a template if anyone is considering free and open-source templating services such as LibreNMS, but as a standalone, I couldn't advise."

"When third-party data warehouses are integrated, we are seeing some ETL job performance issues."

"I suppose it could be a little more secure."

"It should have GUI for managing clusters. MongoDB needs a more powerful GUI to manage clusters and make switchovers. Currently, there is no good, free tool to check the replication to find out if there is a gap."

"The dashboard is an area of concern in the solution where improvements are required."

More MongoDB Enterprise Advanced cons

Pricing and Cost Advice

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

"There is an annual subscription for the use of this solution."

"I believe that MongoDB is free."

"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."

"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."

"There is an enterprise license and it could be cheaper. We are using the free open source version."

"We are using the Community Edition of MongoDB."

"At the moment, all customers are using the community version."

"There are different licenses available to be purchased, such as individual, premium, or enterprise."

More MongoDB Enterprise Advanced pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Managed NoSQL Databases solutions are best for your needs.

See recommendations

879,310 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

14%

University

12%

Insurance Company

Financial Services Firm

15%

Computer Software Company

11%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	35
Midsize Enterprise	13
Large Enterprise	38

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...

See all answers

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 ...

See all answers

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...

See all answers

What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

See all answers

What is your experience regarding pricing and costs for MongoDB?

For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on th...

See all answers

What needs improvement with MongoDB?

The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...

See all answers

Comparisons

Neo4j AuraDB vs Amazon Neptune

Compared 26% of the time

Microsoft Azure Cosmos DB vs Amazon Neptune

Compared 23% of the time

Amazon DynamoDB vs Amazon Neptune

Compared 16% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 11% of the time

More Amazon Neptune Competitors

InfluxDB vs MongoDB Enterprise Advanced

Compared 7% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 6% of the time

Cassandra vs MongoDB Enterprise Advanced

Compared 5% of the time

Milvus vs MongoDB Enterprise Advanced

Compared 5% of the time

More MongoDB Enterprise Advanced Competitors

Product Reports

Buyer's Guide

Amazon Neptune

December 2025

Download Amazon Neptune product report

Buyer's Guide

MongoDB Enterprise Advanced

December 2025

Download MongoDB Enterprise Advanced product report

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 Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.

The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.

What are the key features of MongoDB Enterprise Advanced?

Scalability: Dynamic adjustments to workloads with ease.
JSON Compatibility: Seamless data structuring with JSON support.
Clustering: Enhanced data management through robust clustering.
Security Integration: Built-in security measures for data protection.
Sharding: Efficient distribution of large datasets.

What benefits should users look for in reviews?

Document-Based Storage: Flexibility in managing varied data types.
Open-Source: Access to a broad community and resources.
Low-Cost Implementation: Economic efficiency in deployment.
Scalability: Supports the growth of data without sacrificing performance.

Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.

MongoDB

Sample Customers

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

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

Buyer's Guide

Amazon Neptune vs. MongoDB Enterprise Advanced

December 2025

Free Report: Amazon Neptune vs. MongoDB Enterprise Advanced

Find out what your peers are saying about Amazon Neptune vs. MongoDB Enterprise Advanced and other solutions. Updated: December 2025.

DOWNLOAD NOW

879,310 professionals have used our research since 2012.

See our Amazon Neptune vs. MongoDB Enterprise Advanced report.

See our list of best Managed NoSQL Databases vendors.

We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.