MongoDB Atlas vs Neo4j AuraDB comparison

MongoDB and Neo4j are both solutions in the Managed NoSQL Databases category. MongoDB is ranked #7 with an average rating of 8.3, while Neo4j is ranked #5 with an average rating of 8.7. MongoDB holds a 6.2% mindshare in MND, compared to Neo4j’s 5.6% mindshare. Additionally, 96% of MongoDB users are willing to recommend the solution, compared to 100% of Neo4j users who would recommend it.

MongoDB Atlas

Read 49 MongoDB Atlas reviews

254 Views
96 Comparison Views

96% willing to recommend

Neo4j AuraDB

Read 6 Neo4j AuraDB reviews

479 Views
274 Comparison Views

100% willing to recommend

MongoDB Atlas

Neo4j AuraDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 2, 2025

MongoDB Atlas and Neo4j AuraDB are both database solutions, each excelling in different areas. MongoDB Atlas is particularly strong in scalability and overall versatility, while Neo4j AuraDB shines in handling complex relationships with its graph data model.

Features: MongoDB Atlas offers horizontal scaling, flexible schema, and robust querying capabilities. Neo4j AuraDB provides native graph storage, efficient graph algorithms, and strong graph insights and analytics capabilities.

Room for Improvement: MongoDB Atlas could improve in implementing more advanced graph capabilities and real-time data integration. Enhanced multi-model support would be beneficial. Neo4j AuraDB may benefit from better integration with non-graph frameworks, streamlined deployment options, and enhanced support for large-scale data environments.

Ease of Deployment and Customer Service: MongoDB Atlas is known for its seamless deployment and extensive cloud provider integrations, along with comprehensive support and documentation. Neo4j AuraDB provides an easy setup specifically for graph applications, with dedicated guidance for graph use cases.

Pricing and ROI: MongoDB Atlas offers a pay-as-you-go model that aligns with its scalability, offering cost-effectiveness for various businesses. Neo4j AuraDB, while potentially having higher initial costs, offers substantial ROI for those focused on detailed relational insights.

To learn more, read our detailed MongoDB Atlas vs. Neo4j AuraDB Report (Updated: June 2025).

Buyer's Guide

MongoDB Atlas vs. Neo4j AuraDB

June 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

MongoDB Atlas

Ranking in Managed NoSQL Databases

7th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (3rd)

Neo4j AuraDB

Ranking in Managed NoSQL Databases

5th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Managed NoSQL Databases category, the mindshare of MongoDB Atlas is 6.2%. The mindshare of Neo4j AuraDB is 5.6%, up from 5.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases

Featured Reviews

Laksiri Bala

DB Architect / Consultant at Virtusa Global

Room for improvement in data handling leads to enhanced cost-effective data management performance

It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

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Erle Pereira

Founder & Creator at RRADD Strategy

A graph database, purpose built to leverage relationships in data, enabling lightning-fast queries for real-time analytics and insights

There’s room for improvement in Neo4j AuraDB, especially on the developer side. The learning curve can be steep, and the interface for developing and pushing code can be unnecessarily complex. It might be beneficial to simplify this process to help developers ramp up more quickly. Working with graph databases like Neo4j can be more challenging than standard databases, particularly for juniors and those new to graph technology. Streamlining the development process could make it easier for new users to get up to speed. This would be particularly useful for teams with less experience in graph databases. If I could add a feature to Neo4j AuraDB, I’d focus on improving the Bloom interface. It’s excellent for visualizing smaller datasets, but navigating through it becomes challenging as the data grows—say, past 100,000nodes. The interface works well for beginners but doesn’t scale effectively for more advanced users of large datasets. I want a UI that bridges the gap between the easy-to-use Bloom interface and more complex, text-based tools. This would help manage larger datasets more efficiently and improve performance.

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

"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."

"The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received."

"The product allows us to easily set up and store large amounts of unstructured data."

"It is a scalable solution because we use quite a lot of data, and it handles it well."

"Its most valuable features are high availability and zero maintenance."

"I find MongoDB Atlas highly scalable and easy to use, with very good support."

"It has a flexible integration with our easy API."

"You can start quickly on projects which allow you to store many things."

More MongoDB Atlas pros

"The most valuable features of Neo4j AuraDB include its flexible data model and broad language support."

"The most beneficial things in terms of AuraDB are its speed, its good pricing, the multi-cloud availability."

"I like the idea of graphs and nodes and the possibilities Neo4j AuraDB offers."

"The tool is easy to use."

"Integrating the front-end language with Neo4j AuraDB is a very easy process."

"From my experience, I particularly like the professional version. Initially, developers often start with the free variant. Once the project grows, we switch to the professional version, which offers multiple databases, expanded memory, and better scalability. This allows us to handle more data and use cloud scaling features."

Cons

"I would like to have better performance for user experience with the solution."

"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."

"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."

"Querying a dataset is not very intuitive, so I think that it can be improved."

"I would like the solution to offer more integration capabilities since it is an area where the solution lacks."

"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing."

"The speed when combining two documents is concerning."

"Based on its own habitat, it's not ACID compliant. If it had an ACID compliant option, it would be more useful for database administration."

More MongoDB Atlas cons

"I've experienced it crashing a few times, so stability could be better."

"In terms of AuraDB, the conversations have always been around scalability."

"Some features can help if they can visualize graphs better."

"During the product's initial setup phase, there were some issues due to disconnections in the tool's network."

"There’s room for improvement in Neo4j AuraDB, especially on the developer side. The learning curve can be steep, and the interface for developing and pushing code can be unnecessarily complex. It might be beneficial to simplify this process to help developers ramp up more quickly. Working with graph databases like Neo4j can be more challenging than standard databases, particularly for juniors and those new to graph technology. Streamlining the development process could make it easier for new users to get up to speed. This would be particularly useful for teams with less experience in graph databases. If I could add a feature to Neo4j AuraDB, I’d focus on improving the Bloom interface. It’s excellent for visualizing smaller datasets, but navigating through it becomes challenging as the data grows—say, past 100,000nodes. The interface works well for beginners but doesn’t scale effectively for more advanced users of large datasets. I want a UI that bridges the gap between the easy-to-use Bloom interface and more complex, text-based tools. This would help manage larger datasets more efficiently and improve performance."

Pricing and Cost Advice

"For me, MongoDB is expensive, but I think it is not so expensive for customers."

"The tool is free since it's an open-source product."

"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."

"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive."

"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."

"The solution is fairly priced."

"Pricing could always be better."

"In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."

More MongoDB Atlas pricing and cost advice

"I am using an open-source version of Neo4j AuraDB."

"I used the free tier."

"Neo4j AuraDB is reasonably priced, especially considering it removes the need for cloud administration and associated costs. It's a good deal for the professional version, as it includes managed services, which reduces the overhead compared to setting up your own infrastructure. The cost can be higher for enterprise-scale projects, but that's often due to the scale and complexity of the project rather than the product itself. Startups sometimes overestimate their needs and jump to enterprise pricing too quickly, leading to higher costs than necessary."

"The tool's enterprise edition is very expensive."

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Top Industries

By visitors reading reviews

Computer Software Company

19%

Financial Services Firm

15%

Manufacturing Company

Comms Service Provider

Computer Software Company

29%

Financial Services Firm

12%

Educational Organization

12%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about MongoDB Atlas?

There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...

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What is your experience regarding pricing and costs for MongoDB Atlas?

The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.

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What needs improvement with MongoDB Atlas?

There is nothing about MongoDB Atlas I would like to improve or any weak points at this time. I have not thought through what other features I would like to see included in future updates. MongoDB ...

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What is your experience regarding pricing and costs for Neo4j AuraDB?

It has fair pricing.

See all answers

What is your primary use case for Neo4j AuraDB?

I worked on a project focused on the quality of public menus, using Neo4j AuraDB to connect and create relationships between food items. This allowed us to visualize data in interesting ways and id...

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What advice do you have for others considering Neo4j AuraDB?

Neo4j AuraDB is a powerful graph database that enables us to accomplish impressive tasks. Specifically, as a cloud-based service, it eliminates the need for a high-performance computer to use it. S...

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Comparisons

Amazon RDS vs MongoDB Atlas

Compared 39% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 15% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 10% of the time

MongoDB vs MongoDB Atlas

Compared 8% of the time

More MongoDB Atlas Competitors

Amazon Neptune vs Neo4j AuraDB

Compared 51% of the time

Microsoft Azure Cosmos DB vs Neo4j AuraDB

Compared 40% of the time

More Neo4j AuraDB Competitors

Product Reports

Buyer's Guide

MongoDB Atlas

June 2025

Download MongoDB Atlas product report

Buyer's Guide

Neo4j AuraDB

June 2025

Download Neo4j AuraDB product report

Also Known As

Atlas, MongoDB Atlas (pay-as-you-go)

No data available

Overview

MongoDB Atlas stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.

MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.

What are the key features of MongoDB Atlas?

Schemaless Architecture: Flexible data storage without predefined structure.
Automatic Scaling: Dynamically adjusts resources to meet demand.
Advanced Security: Encryption and role-based access control.
User-Friendly Interface: Simplified management and operation.
Robust API Support: Facilitates integration with applications.

What benefits should you consider in a solution like MongoDB Atlas?

Cost-Effective Management: Minimizes setup and operational costs.
Dynamic Data Management: Adapts to varying business demands.
Seamless Integration: Connects easily with other tools and frameworks.
High Performance: Optimized for real-time data processing and visualization.
Reliable Support: Accessible assistance and comprehensive documentation.

In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.

MongoDB

Neo4j AuraDB offers seamless integration with Python, Java, and Go, efficiently handles real-time data, and is hosted on AWS Cloud for reliable, scalable, and multi-cloud support across GCP, Azure, and Amazon.

Neo4j AuraDB is appreciated for its flexible data models and dedicated query language, ideal for network correlation and graph analysis. It provides scalability with expanded memory and supports multiple databases. While users enjoy its speed and AI data handling capabilities, challenges include stability, with occasional crashes and a need for a more intuitive cloud interface. Enhancements in simplifying the development process and improving the Bloom interface for large datasets are desired. Although documentation is positive, it could be streamlined. Scalability in large projects is a recurring concern alongside a more user-friendly setup for less experienced teams.

What are Neo4j AuraDB's standout features?

Seamless language integration: Works well with Python, Java, and Go.
Cloud hosting: Reliable hosting on AWS with GCP and Azure compatibility.
Scalability: Offers expanded memory and support for multiple databases.
Real-time data handling: Efficient for AI and analytics projects.
Flexible data model: Supports network correlation and relationship-centric modeling.

What benefits should users expect?

Cost-effective pricing: Multi-cloud availability ensures competitive rates.
Rapid analysis: Swiftly handles data point relationships.
Graph visualization: Enables effective illustration of graph schemas.
Project scalability: Supports resource aggregation and AI applications.

Research teams use Neo4j AuraDB to learn cipher language and gather data from platforms like Hacker News. It is vital for graph data access, participant engagement, and projects like connecting food data or investment insights. Companies needing scalable cloud interfaces and swift data analysis in generative AI contexts benefit significantly, achieving effective data point connection with robust documentation.

Neo4j

Sample Customers

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.

Information Not Available

Buyer's Guide

MongoDB Atlas vs. Neo4j AuraDB

June 2025

Free Report: MongoDB Atlas vs. Neo4j AuraDB

Find out what your peers are saying about MongoDB Atlas vs. Neo4j AuraDB and other solutions. Updated: June 2025.

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