MongoDB Enterprise Advanced vs Neo4j AuraDB comparison

MongoDB and Neo4j are both solutions in the Managed NoSQL Databases category. MongoDB is ranked #4 with an average rating of 8.4, while Neo4j is ranked #7 with an average rating of 8.5. MongoDB holds a 11.0% mindshare in MND, compared to Neo4j’s 6.1% mindshare. Additionally, 92% of MongoDB users are willing to recommend the solution, compared to 87% of Neo4j users who would recommend it.

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

5,473 Views
821 Comparison Views

92% willing to recommend

Neo4j AuraDB

Read 8 Neo4j AuraDB reviews

747 Views
740 Comparison Views

87% willing to recommend

MongoDB Enterprise Advanced

Neo4j AuraDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 15, 2026

MongoDB Enterprise Advanced and Neo4j AuraDB are both used for data management, catering to different database needs. Neo4j AuraDB leads in graph data management with its dedicated features and rapid deployment capabilities.

Features: MongoDB Enterprise Advanced provides a flexible, document-based database management system known for scalability and robust security protocols, supporting large-scale data with JSON format. Neo4j AuraDB excels in managing graph data with high-performance query options and strong integration support for various programming languages like Python and Java. It is built on AWS Cloud ensuring high reliability.

Room for Improvement: MongoDB could enhance its graph database capabilities and improve native support for relationship-centric data modeling. Its documentation could be better organized for quicker reference. Neo4j AuraDB could refine its service lifecycle management and improve the transparency of its service suspension notifications. The subscription and migration processes present challenges in clarity and could be streamlined for users.

Ease of Deployment and Customer Service: Neo4j AuraDB offers a user-friendly, cloud-based deployment model that simplifies setup and is supported by a highly responsive customer service team. MongoDB requires more on-premise resources and effort during deployment but provides extensive support and comprehensive installation guidelines.

Pricing and ROI: MongoDB Enterprise Advanced offers a scalable pricing plan tailored for businesses of various sizes. Neo4j AuraDB's pricing is higher initially, but its rapid deployment and specialized graph features potentially enhance ROI, making it advantageous for businesses focused on intricate data relationships.

To learn more, read our detailed MongoDB Enterprise Advanced vs. Neo4j AuraDB Report (Updated: December 2025).

Buyer's Guide

MongoDB Enterprise Advanced vs. Neo4j AuraDB

December 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 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)

Neo4j AuraDB

Ranking in Managed NoSQL Databases

7th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Managed NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 11.0%, up from 3.2% compared to the previous year. The mindshare of Neo4j AuraDB is 6.1%, up from 5.5% 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	11.0%
Neo4j AuraDB	6.1%
Other	82.9%

Managed NoSQL Databases

Featured Reviews

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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Jeff Dalgliesh

Founder at data2

Room for improvement in interface capabilities while rapidly solving domain-specific problems

Neo4j AuraDB is a great tool for understanding connections between things. The best features Neo4j AuraDB offers are that it is easy to quickly build a solution with their tooling. Regarding the tooling, I love how fast it is that you can use NeoDash to quickly mock up a UI, and it is really nice that you can build a GraphQL endpoint to connect it to third-party applications, such as Retool or custom applications that we build for clients. Neo4j AuraDB has impacted my organization positively as it has helped me solve problems much more quickly. A specific example of a problem I solved more quickly with Neo4j AuraDB is that I was able to work with an LLM to build graph data models for domain-specific problems. The collaboration with the LLM and Neo4j AuraDB sped up my process as I'm building a tool on top of Neo4j that allows me to control how I can access data in the graph, and Neo4j had a nice interface that allowed us to work with their underlying data model.

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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

"MongoDB has definitely helped us improve our network monitoring and reporting dashboard, so I would say it has impacted our operations positively overall."

"It's super easy to develop a couple of solutions for clients with MongoDB, like a quick web page with no clear data structure that they need to spin up quickly to validate some sort of MDTP."

"MongoDB is extremely developer-friendly because when you are starting, there is very little time needed upfront in terms of planning."

"I like the schemaless architecture that it follows. I also like the sharding that it provides."

"The geospatial index feature is useful for dealing with latitude and longitude data."

"MongoDB's best features are scalability, document management, and data security."

"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."

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

More MongoDB Enterprise Advanced pros

"The best features Neo4j AuraDB offers are that it is easy to quickly build a solution with their tooling."

"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."

"The tool is easy to use."

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

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

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

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

Cons

"The performance can be improved."

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

"Lacks sufficient scalability and elasticity."

"The solution could have more integration."

"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."

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

"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this."

"The improvements could be made to intelligence to detect disk storage and prevent MongoDB from crashing."

More MongoDB Enterprise Advanced cons

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

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

"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."

"I would love to see a Retool type of interface builder with Neo4j AuraDB."

"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."

Pricing and Cost Advice

"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."

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

"MongoDB is an open-source product."

"We are using the Community Edition of MongoDB."

"MongoDB is not expensive."

"It's open-source."

"There are different licenses available to be purchased, such as individual, premium, or enterprise."

"The solution is open source so is free."

More MongoDB Enterprise Advanced pricing and cost advice

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

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

"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."

"I used the free tier."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

University

Computer Software Company

31%

Financial Services Firm

11%

Educational Organization

11%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	35
Midsize Enterprise	13
Large Enterprise	38

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	2

Questions from the Community

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

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

The pay-as-you-go pricing model is generally reasonable and suitable for scalable workloads. However, users should be aware that pricing transparency alone is not sufficient. Subscription lifecycle...

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What is your primary use case for Neo4j AuraDB?

Neo4j Aura (pay-as-you-go) is primarily used for research and production-grade graph analytics, including knowledge graph construction for complex relational data and graph-based reasoning and trav...

See all answers

What advice do you have for others considering Neo4j AuraDB?

Neo4j Aura is a technically strong and capable managed graph database, and it has been valuable for research and production use. However, this incident revealed a serious gap between technical capa...

See all answers

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Compared 30% of the time

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Compared 28% of the time

Microsoft Azure Cosmos DB vs Neo4j AuraDB

Compared 20% of the time

Google Cloud Firestore vs Neo4j AuraDB

Compared 7% of the time

Amazon DynamoDB vs Neo4j AuraDB

Compared 5% of the time

More Neo4j AuraDB Competitors

Product Reports

Buyer's Guide

MongoDB Enterprise Advanced

January 2026

Download MongoDB Enterprise Advanced product report

Buyer's Guide

Neo4j AuraDB

January 2026

Download Neo4j AuraDB product report

Also Known As

No data available

Neo4j Aura

Overview

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

Neo4j AuraDB offers a flexible data model with extensive language integration and seamless multi-cloud accessibility. Known for scalability and performance, it supports efficient graph-based data handling across diverse applications.

Neo4j AuraDB is recognized for its comprehensive graph database capabilities, providing scalability, speed, and integration with multiple programming languages and tools. Its dedicated query language and AWS Cloud hosting enhance reliability and performance. While improvements in stability and GUI are necessary, its ability to handle graph data effectively aids in AI-driven projects and relationship-centric modeling. Researchers utilize it for cipher language studies and scalable databases, tackling diverse industry challenges.

What are the key features of Neo4j AuraDB?

Flexible Data Model: Adapts to varied workloads and requirements.
Broad Language Integration: Supports multiple programming languages for development versatility.
Multi-cloud Availability: Provides seamless deployment across different cloud platforms.
Graph-based Data Handling: Efficiently manages complex data relationships.
NeoDash Support: Facilitates quick application development with comprehensive tools.
Dedicated Query Language: Optimized for performance and reliability for graph queries.

What benefits should users consider when evaluating Neo4j AuraDB?

Scalability: Suitable for both small and large-scale graph database projects.
Performance: High-speed data processing for efficient application performance.
Reliability: AWS Cloud hosting ensures consistent uptime and security.
AI Integration: Provides contextual insights beneficial for data-driven initiatives.
Development Versatility: Supports a range of programming languages for diverse development needs.

Neo4j AuraDB is employed in industries like oil and gas, where companies address water optimization and construct knowledge graphs. It excels in relationship-centric modeling, handling structured and unstructured data for comprehensive insights, proving essential for graph-based reasoning in diverse applications.

Neo4j

Sample Customers

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

Information Not Available

Buyer's Guide

MongoDB Enterprise Advanced vs. Neo4j AuraDB

December 2025

Free Report: MongoDB Enterprise Advanced vs. Neo4j AuraDB

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