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 #5 with an average rating of 8.4. Amazon Web Services (AWS) holds a 7.7% mindshare in MND, compared to MongoDB’s 11.1% 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

794 Views
794 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

4,790 Views
527 Comparison Views

92% willing to recommend

Amazon Neptune

MongoDB Enterprise Advanced

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 31, 2025

MongoDB Enterprise Advanced and Amazon Neptune compete in the database solutions category, addressing diverse use cases with distinct architecture and deployment models. Amazon Neptune has an advantage due to its advanced graph data capabilities, whereas MongoDB Enterprise Advanced stands out with its flexible NoSQL functions.

Features: MongoDB Enterprise Advanced supports flexible JSON document storage, offers horizontal scalability, and real-time analytics. Amazon Neptune provides optimized graph database capabilities, supports RDF and property graph models, and enables complex queries and relationships.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced offers a simple deployment process with extensive customer support and a rich tool ecosystem. Amazon Neptune benefits from seamless AWS integration, providing efficient deployment for AWS users.

Pricing and ROI: MongoDB Enterprise Advanced presents competitive pricing with potentially lower costs for versatile applications, ensuring robust ROI. Amazon Neptune's specialized graph capabilities entail higher pricing, offering significant ROI for graph data modeling needs.

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

Buyer's Guide

Amazon Neptune vs. MongoDB Enterprise Advanced

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 Enterprise Advanced

Ranking in Managed NoSQL Databases

5th

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 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 Enterprise Advanced is 11.1%, up from 0.4% 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	11.1%
Amazon Neptune	7.7%
Other	81.2%

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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Uzair Faruqi

Head Of Analytics at Mjunction Services

Transforms data flow with adaptable schema and smooth public cloud deployment

One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

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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."

"The most valuable feature is the speed of MongoDB."

"We find the query and speed very valuable."

"MongoDB is relatively fast compared to relational databases."

"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."

"It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour. You can do small configurations to enable routing. It is easy to implement."

"Sharding is an excellent feature of MongoDB."

"We decided to work with MongoDB as its interface is easier to understand and more universal."

"It is easy to set up."

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."

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

"There is room for improvement in integrating MongoDB with agentive AI solutions."

"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."

"The user interface is not as friendly as Oracle, which is something that can be improved."

"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."

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

"The performance of the solution could be improved."

"MongoDB should improve its data loading part."

"It could be more stable. It would be better if it were more user-friendly like Oracle, which is very easy. For example, creating an index is simple in Oracle. In MongoDB, it's quite challenging to do that. Performance could be better. It's fast and good, but you cannot put every application that you would like to in MongoDB."

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."

"The solution is open source, so it is free."

"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

"MongoDB is not expensive."

"If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive."

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

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

"This is an open-source solution."

"I only used the open-source version."

More MongoDB Enterprise Advanced 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

Financial Services Firm

16%

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	36
Midsize Enterprise	13
Large Enterprise	37

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?

We pay approximately 2,000 euros per month for MongoDB.

See all answers

What needs improvement with MongoDB?

I'm not sure about the documentation or the knowledge bases available for MongoDB because I don't interact with it at that level, but I would say it's minimal and could be improved. I am not experi...

See all answers

Comparisons

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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

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InfluxDB vs MongoDB Enterprise Advanced

Compared 9% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 7% of the time

Milvus vs MongoDB Enterprise Advanced

Compared 6% of the time

Cassandra vs MongoDB Enterprise Advanced

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 6% of the time

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Product Reports

Buyer's Guide

Amazon Neptune

October 2025

Download Amazon Neptune product report

Buyer's Guide

MongoDB Enterprise Advanced

September 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

September 2025

Free Report: Amazon Neptune vs. MongoDB Enterprise Advanced

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