MongoDB Enterprise Advanced vs Neo4j Graph Database comparison

MongoDB and Neo4j are both solutions in the NoSQL Databases category. MongoDB is ranked #1 with an average rating of 8.4, while Neo4j is ranked #10 with an average rating of 9.0. MongoDB holds a 13.7% mindshare in ND, compared to Neo4j’s 6.0% mindshare. Additionally, 92% of MongoDB users are willing to recommend the solution, compared to 100% of Neo4j users who would recommend it.

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

6,047 Views
3,265 Comparison Views

92% willing to recommend

Neo4j Graph Database

Read 6 Neo4j Graph Database reviews

1,282 Views
1,115 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Neo4j Graph Database

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

MongoDB Enterprise Advanced and Neo4j Graph Database are competing in the database market. MongoDB tends to have the upper hand in handling diverse data workloads due to its robust query capabilities, while Neo4j is stronger in managing graph data which is essential for analyzing relationships.

Features: MongoDB Enterprise Advanced delivers high-performance NoSQL capabilities, supporting multiple storage engines and comprehensive data security. Neo4j Graph Database specializes in native graph processing with dynamic graph algorithms and visualization tools. MongoDB is ideal for document-based storage, whereas Neo4j excels in graph data modeling and performance.

Room for Improvement: MongoDB could enhance its graph data capabilities to compete more directly with Neo4j. It also needs to simplify its setup process to reduce the time required for deployment. Additionally, better visualization tools would make it more user-friendly. Neo4j can improve by expanding its query language flexibility, providing more comprehensive data indexing features, and enhancing integration with non-graph databases for broader data management capabilities.

Ease of Deployment and Customer Service: Neo4j offers an intuitive deployment experience with numerous options and dedicated customer support. MongoDB provides flexible cloud deployment options backed by a large ecosystem and comprehensive resources. Neo4j emphasizes easy setup and tailored support, while MongoDB focuses on flexibility and a wide user community base.

Pricing and ROI: MongoDB Enterprise Advanced's flexible pricing model involves higher initial costs but promises scalable ROI due to robust scalability features. Neo4j is more cost-effective in graph-focused applications, offering potentially better ROI for specific use cases. MongoDB demands a larger upfront investment, yet Neo4j can deliver a more favorable ROI for graph data applications.

To learn more, read our detailed MongoDB Enterprise Advanced vs. Neo4j Graph Database Report (Updated: March 2026).

Buyer's Guide

MongoDB Enterprise Advanced vs. Neo4j Graph Database

March 2026

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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 NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (6th), Managed NoSQL Databases (4th)

Neo4j Graph Database

Ranking in NoSQL Databases

10th

Average Rating

8.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 13.7%, down from 19.8% compared to the previous year. The mindshare of Neo4j Graph Database is 6.0%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	13.7%
Neo4j Graph Database	6.0%
Other	80.3%

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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Raju Tsn

VP odfTechnology at Enterpi Software Solutions Private Limited

Delivers superior search and data aggregation capabilities

Neo4j helps with advanced search needs, providing good search results and aggregates compared to MongoDB. Aggregating with MongoDB can be difficult; however, with Neo4j, it's easier. Aggregating data, backing up, and creating new clusters are user-friendly from the back end. In DevOps web deployment, we noticed no database issues. We created Docker instances and set them up efficiently, managing databases up to 50 gigabytes.

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 most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."

"MongoDB is a NoSQL tool that gives us much freedom to manipulate how the data works."

"MongoDB is cool. There is a difference between relational databases and newer databases like MongoDB. MongoDB is scalable and fast."

"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."

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

"MongoDB's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data."

"It is convenient to use because we can do manipulations with the JSON data that we get. There are also a lot of joins and associations with MongoDB, which makes it easy to use for us."

"It is easy to set up."

More MongoDB Enterprise Advanced pros

"As a graph database, I am surprised at their performance and response time."

"It is good for search-based tasks, providing solid search results and aggregate results."

"Enables people to understand what the business problem is and how the technology helps."

"Creates the ability to visualize outputs."

"For now, the tool doesn't break down or stop, so it is quite stable."

"The solution's best feature is how it differs from traditional SQL databases. It's hard to map people and find those near me in SQL, which requires long, complex queries. Neo4j Graph Database makes this easier with simpler queries. It also supports more data types, like JSON, which SQL doesn't."

Cons

"It isn't easy to recognize entities with MongoDB."

"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."

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

"There is a need for improvement in MongoDB's customer support."

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

"The stability could be better."

"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."

"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."

More MongoDB Enterprise Advanced cons

"So far, we have not had any issues and are happy with the product in general."

"The tool could improve by having more resources, especially for Golang, which we use. It lacks good basic libraries and doesn't have an ORM (Object-Relational Mapping) tool, which many NoSQL databases have. We thought about building an ORM for the Neo4j Graph Database but are too busy."

"The only problem is that the community is quite small."

"For me, when the tool was deployed on an on-premises model, it was a little bit difficult the first time."

"There are concerns about performance and whether the tool can necessarily scale to provide the solution."

Pricing and Cost Advice

"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."

"You only have to pay for the paid version, not the open-source version."

"I believe that MongoDB is free."

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

"It is rather expensive."

"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."

"The product is affordable."

"The solution is open source so is free."

More MongoDB Enterprise Advanced pricing and cost advice

"The tool is not expensive."

"The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwise, you can deploy it on your own cloud and pay based on usage."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

Manufacturing Company

University

Financial Services Firm

15%

Computer Software Company

University

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

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?

The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwi...

See all answers

What needs improvement with Neo4j Graph Database?

The only problem is that the community is quite small.

See all answers

What is your primary use case for Neo4j Graph Database?

We have used Neo4j in microservices. In one of the microservices, we used Neo4j since we have some requirements similar to MongoDB plus Elasticsearch. It performs both functions. Instead of doing t...

See all answers

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Compared 24% of the time

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Compared 9% of the time

SQL Server vs Neo4j Graph Database

Compared 7% of the time

DataStax Enterprise vs Neo4j Graph Database

Compared 7% of the time

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Compared 6% of the time

More Neo4j Graph Database Competitors

Product Reports

Buyer's Guide

MongoDB Enterprise Advanced

February 2026

Download MongoDB Enterprise Advanced product report

Buyer's Guide

Neo4j Graph Database

February 2026

Download Neo4j Graph Database product report

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 is the graph database solution allowing the analysis of complex relationships and patterns in data, leading to better decision-making and improved business processes. The graph database offers easy data integration from multiple sources, providing a more comprehensive view.

The most valuable aspect of a graph database is its performance and response time, as it does not use the join function and only has nodes and raw data. Overall, Neo4j, as a global first-ranking solution, has helped organizations become more efficient and effective in data analysis and decision-making processes.

Neo4j

Sample Customers

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

Walmart, Telenor, Wazoku, Adidas, Cerved, GameSys, eBay, Schleich, ICIJ, die Bayerisch, Megree, InfoJobs, LinkedIn

Buyer's Guide

MongoDB Enterprise Advanced vs. Neo4j Graph Database

March 2026

Free Report: MongoDB Enterprise Advanced vs. Neo4j Graph Database

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