Amazon Neptune vs MongoDB comparison

Read 79 MongoDB reviews

159 Views
121 Comparison Views

92% willing to recommend

Amazon Neptune

Comparison Buyer's Guide

Download the report

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: April 2025).

Amazon Neptune vs. MongoDB

Download the complete report

Helped 849,963 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

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 May 2025, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 11.9%, down from 14.2% compared to the previous year. The mindshare of MongoDB is 6.2%. 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.

Read full review

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…

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

"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's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."

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

"The Dynamic Application is a valuable feature."

"I value the API integrations."

"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."

"One of the first things I noticed when I had my first experience with MongoDB was how easy it was to use. I was expecting more difficulties or at least some challenges, but it was very, very easy to use. It's great technology, performs well, and is very convenient."

"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."

"The installation is very stable."

More MongoDB 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."

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

"It could be much more flexible like SequoiaDB. I would like to see more flexibility in the next release, especially when working with Microsoft Windows. A lot of people struggle with MongoDB because of their Windows versions. But Linux is faultless and mostly runs nicely."

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

"We'd like technical support to respond faster to queries."

"It would be much more useful if I have an admin user and a password."

"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."

"It is important to note that MongoDB has limitations since it can only be used for specific use cases. For example, for master data, I would want to pick keys using an RDBMS, but for attachments, I would choose MongoDB."

"Sometimes, the tool goes down temporarily. There are some stability issues in the product."

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

More MongoDB cons

Pricing and Cost Advice

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

"It's open-source."

"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."

"I believe that MongoDB is free."

"I believe that the licensing fees are paid on a yearly basis."

"It is rather expensive."

"The product is affordable."

"I'm using the free version of MongoDB."

"I currently use the solution's community edition which is free."

More MongoDB 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

849,963 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

20%

Financial Services Firm

17%

Government

Manufacturing Company

Financial Services Firm

19%

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

Compared 28% of the time

Neo4j AuraDB vs Amazon Neptune

Compared 23% of the time

Amazon DynamoDB vs Amazon Neptune

Compared 22% of the time

Amazon Timestream vs Amazon Neptune

Compared 18% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 10% of the time

More Amazon Neptune Competitors

InfluxDB vs MongoDB

Compared 16% of the time

Couchbase vs MongoDB

Compared 11% of the time

Cassandra vs MongoDB

Compared 8% of the time

Milvus vs MongoDB

Compared 8% of the time

Qdrant vs MongoDB

Compared 5% of the time

More MongoDB Competitors

Product Reports

Amazon Neptune

Download Amazon Neptune product report

Download MongoDB 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 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