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 #9 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 6.9% mindshare in MND, compared to MongoDB’s 10.9% 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

855 Views
855 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

6,047 Views
968 Comparison Views

92% willing to recommend

Amazon Neptune

MongoDB Enterprise Advanced

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

MongoDB Enterprise Advanced and Amazon Neptune are solutions in the database market. MongoDB holds an advantage with its flexibility and adaptability for various applications.

Features: MongoDB Enterprise Advanced provides horizontal scalability, a flexible schema design, and supports both unstructured and semi-structured data. It also includes advanced security and integration options. Amazon Neptune is tailored for graph queries with efficient processing for large-scale datasets, offering native support for Gremlin and SPARQL, which is ideal for applications needing complex relationship querying.

Ease of Deployment and Customer Service: Amazon Neptune's fully managed service makes deployment and scaling straightforward, offering seamless integration with AWS services, high availability, and automated backups. MongoDB Enterprise Advanced provides strong documentation and community support but may require more manual setup for achieving optimal performance. Both offer extensive customer support, though Amazon Neptune benefits from the AWS ecosystem.

Pricing and ROI: MongoDB Enterprise Advanced operates on a subscription model with transparent pricing, accommodating predictable costs and long-term investment. It aids ROI by adapting to evolving project demands. Amazon Neptune's pay-as-you-go pricing fits cloud-native approaches, potentially lowering initial setup costs and offering scalability. MongoDB's clear pricing appeals to those prioritizing budget certainty.

To learn more, read our detailed Amazon Neptune vs. MongoDB Enterprise Advanced Report (Updated: March 2026).

Buyer's Guide

Amazon Neptune vs. MongoDB Enterprise Advanced

March 2026

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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

9th

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 (6th), NoSQL Databases (1st)

Mindshare comparison

As of March 2026, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 6.9%, down from 13.8% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 10.9%, up from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	10.9%
Amazon Neptune	6.9%
Other	82.2%

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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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.

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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."

"The initial setup is actually simple."

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

"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."

"One of the most valuable features of MongoDB is it is Its open source."

"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."

"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."

"like its performance and the stability. It's very stable and, performance-wise, it's really great."

"I like the document storage feature. It's pretty simple."

"It is easy to set up."

"I find the integration with other tools very easy."

More MongoDB Enterprise Advanced pros

Cons

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

"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."

"It isn't easy to recognize entities with MongoDB."

"At the start, connecting to the database via Compass or through a direct ID was a challenge."

"The analytics needs improvement."

"Enhancing the documentation to make it more beginner-friendly is crucial."

"The scalability of the solution has room for improvement."

"It would help if MongoDB offered a light solution for small projects."

"There is a need for improvement in MongoDB's customer support."

"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB. There should be some kind of midway where a person who is coming from an Oracle background can write a query and get a response by using something like a select * statement or other such things. There should be some way for MongoDB to interpret these commands rather than making a person learn MongoDB commands and writing them. I struggled while writing these MongoDB commands. I had not seen such queries before. It was pretty difficult to get them. This is one of the areas where it would help from the improvement standpoint."

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."

"We are using the Community Edition of MongoDB."

"It's open-source."

"It's a community edition, so we do not pay anything."

"MongoDB's pricing is not reasonable, but it is not as expensive as the others."

"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."

"MongoDB is an open-source product."

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

"Our customers pay for yearly licenses for MongoDB."

More MongoDB Enterprise Advanced pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

University

14%

Computer Software Company

11%

Insurance Company

Financial Services Firm

13%

Computer Software Company

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...

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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?

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

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Compared 27% of the time

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Compared 20% of the time

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Compared 19% of the time

Amazon DynamoDB vs Amazon Neptune

Compared 11% of the time

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Compared 5% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

InfluxDB vs MongoDB Enterprise Advanced

Compared 5% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 5% of the time

PostgreSQL vs MongoDB Enterprise Advanced

Compared 4% of the time

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Product Reports

Buyer's Guide

Amazon Neptune

March 2026

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Buyer's Guide

MongoDB Enterprise Advanced

March 2026

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

March 2026

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