Amazon Neptune vs MongoDB comparison

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Amazon Neptune

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Executive SummaryUpdated on Mar 3, 2025

MongoDB and Amazon Neptune are competitors in the database solutions category. MongoDB holds an advantage in flexibility and scalability due to its document-based architecture, while Amazon Neptune has an edge in handling complex graph applications with its specialized graph processing capabilities.

Features: MongoDB offers a scalable architecture, a versatile query language, and powerful indexing suitable for rapidly expanding applications. Amazon Neptune is equipped with advanced graph processing, enabling efficient management of complex relationships, which is particularly beneficial for graph-based solutions. Both products ensure high availability, but Amazon Neptune's graph data focus is advantageous for specialized applications.

Ease of Deployment and Customer Service: MongoDB provides a straightforward deployment model, adaptable for both cloud and on-premise setups, supported by extensive documentation and community resources. Amazon Neptune integrates seamlessly within the AWS ecosystem, leveraging AWS's robust security and management services. With customer service integrated into AWS Support, Amazon Neptune offers comprehensive assistance for AWS users.

Pricing and ROI: MongoDB has competitive setup costs and provides strong ROI for large-scale, document-centric applications. Its open-source nature can reduce initial costs, making it accessible to startups. Amazon Neptune aligns its pricing with AWS services, offering value for complex graph applications where specialized features improve performance and analysis. Despite higher initial investment, Amazon Neptune's graph processing capabilities can justify expenses for specific use cases.

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

Amazon Neptune vs. MongoDB

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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

4th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

MongoDB

Ranking in Managed NoSQL Databases

9th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (5th), NoSQL Databases (1st)

Mindshare comparison

As of April 2025, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 12.9%, down from 13.7% compared to the previous year. The mindshare of MongoDB is 5.5%. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases

Featured Reviews

Matthew Spieth

Senior Database Administrator at Summa Health System

Useful pattern identification, price well, and straightforward implementation

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.

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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

"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 of MongoDB is the predefined functions available when using Node.js. These functions simplify the query process, making it user-friendly and straightforward."

"It is very fast - faster than an SQL or MySQL Server."

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

"It is a stable solution. Stability-wise, I rate the solution a nine out of ten...Overall, MongoDB has helped manage and analyze attachment data."

"The solution is user-friendly with a good object retrieval feature."

"The initial setup isn't really that complex."

"Easier to maintain the data with its document-based storage."

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

More MongoDB pros

Cons

"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."

"The MongoDB documentation can be a little complicated sometimes."

"I think it would be good to have more search options such as an index resource. This will provide more options and resources to do advance searches."

"The analytics needs improvement."

"From my point of view, they need a totally free IDE to work at high levels."

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

"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."

"The performance can be improved."

"MongoDB should incorporate more features, particularly search functionality, and real-time communication capabilities, to improve the database and provide data listening services. Currently, we rely on the Atlas offering, but it would be fantastic if MongoDB could develop a new solution or updated version that includes these features within its internal database and driver. However, I am uncertain if this would be a viable or profitable move for them, and I am speaking from a mobile-centric viewpoint."

More MongoDB cons

Pricing and Cost Advice

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

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

"MongoDB's pricing is reasonable."

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

"The pricing is normal. Price-wise, the product is not too much expensive."

"I believe that MongoDB is free."

"MongoDB is a bit expensive compared to its competitors."

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

"We use the open-source version, which is available to use free of charge."

More MongoDB pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

21%

Financial Services Firm

17%

Government

Manufacturing Company

Financial Services Firm

18%

Computer Software Company

15%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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

When taken as part of the whole AWS contract, it was cheaper, but as a single service, Neptune was more expensive compared to Neo4j.

What needs improvement with Amazon Neptune?

Some improvements could be made by introducing a UI that would clearly show the vertices and connections, which would make it easier to visualize and debug. Additionally, the need for downtime duri...

What is your primary use case for Amazon Neptune?

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 d...

What do you like most about MongoDB?

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

What is your experience regarding pricing and costs for MongoDB?

We use the free version of MongoDB, so there are no licensing costs.

What needs improvement with MongoDB?

There is room for improvement in integrating MongoDB with agentive AI solutions. While solutions for other databases like SQL or PostgreSQL ( /products/postgresql-reviews ) already exist, MongoDB r...

Microsoft Azure Cosmos DB vs Amazon Neptune

Comparisons

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Amazon DynamoDB vs Amazon Neptune

Compared 22% of the time

Neo4j AuraDB vs Amazon Neptune

Compared 21% of the time

Amazon Timestream vs Amazon Neptune

Compared 19% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 10% of the time

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InfluxDB vs MongoDB

Compared 20% of the time

Couchbase vs MongoDB

Compared 12% of the time

Cassandra vs MongoDB

Compared 8% of the time

Milvus vs MongoDB

Compared 7% of the time

Faiss vs MongoDB

Compared 5% of the time

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Product Reports

Amazon Neptune

Download Amazon Neptune product report

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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 is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.

Sample Customers

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

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

Amazon Neptune vs. MongoDB