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 #8 with an average rating of 9.0. MongoDB holds a 13.9% mindshare in ND, compared to Neo4j’s 6.1% 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

5,473 Views
3,065 Comparison Views

92% willing to recommend

Neo4j Graph Database

Read 6 Neo4j Graph Database reviews

1,162 Views
1,011 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Neo4j Graph Database

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Executive SummaryUpdated on Nov 2, 2025

MongoDB Enterprise Advanced and Neo4j Graph Database both compete in the database solution category. MongoDB, with its robust scalability and flexibility, seems to have an upper hand in handling diverse data types, whereas Neo4j offers a strong advantage in processing complex data relationships.

Features: MongoDB Enterprise Advanced facilitates massive scalability, flexibility with a schema-less architecture, and integration features that enhance developer efficiency. It is designed to manage unstructured data and supports extensive querying capabilities. Neo4j Graph Database specializes in handling interconnected data with its powerful graph analytics, native graph storage, and visualization capabilities that simplify finding relationships between data points.

Room for Improvement: MongoDB could improve in areas such as complex relationship handling, which is not as seamless as Neo4j. It may also enhance its graph query language. Neo4j could benefit from improving its scalability for diverse data types and enhancing its community support to match MongoDB's extensive resources.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced offers multiple deployment models, including cloud and on-premise, supported by a strong community and support contracts. Neo4j Graph Database provides flexible deployment options and emphasizes professional services, aiding in graph-specific environment setups, ensuring efficient deployment and support experience.

Pricing and ROI: MongoDB Enterprise Advanced may involve higher initial costs due to its enterprise features but offers strong ROI through its adaptability. Neo4j Graph Database requires investment in training for its specialized capabilities, providing substantial ROI where data relationships are critical. MongoDB is often more cost-effective for various applications, while Neo4j offers a high ROI in graph management.

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

Buyer's Guide

MongoDB Enterprise Advanced vs. Neo4j Graph Database

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 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

8th

Average Rating

8.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 13.9%, down from 20.6% compared to the previous year. The mindshare of Neo4j Graph Database is 6.1%, up from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
MongoDB Enterprise Advanced	13.9%
Neo4j Graph Database	6.1%
Other	80.0%

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 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."

"We decided to work with MongoDB as its interface is easier to understand and more universal."

"The solution has good flexibility and very fast performance for searching data."

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

"The community is great if you have problem."

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

"The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it."

"MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL."

More MongoDB Enterprise Advanced pros

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

"Creates the ability to visualize outputs."

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

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

"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

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

"MongoDB should better support small and medium companies. There are a lot of clients out there that are interested, however, they need something lighter and less complex and something not so expensive upfront."

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

"Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution."

"They could provide more documentation and examples for adding pipeline stages."

"There can be stability issues."

"I think that MongoDB's search engine should be improved."

"MongoDB could improve by not having so many updates and different versions."

More MongoDB Enterprise Advanced cons

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

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

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

"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."

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

Pricing and Cost Advice

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

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

"MongoDB is not expensive."

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

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

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

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

"It's open-source."

More MongoDB Enterprise Advanced pricing and cost advice

"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."

"The tool is not expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

University

Financial Services Firm

17%

Computer Software Company

10%

Energy/Utilities Company

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

Comparisons

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Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

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Compared 5% of the time

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 5% of the time

LanceDB vs MongoDB Enterprise Advanced

Compared 3% of the time

More MongoDB Enterprise Advanced Competitors

Microsoft Azure Cosmos DB vs Neo4j Graph Database

Compared 24% of the time

Cassandra vs Neo4j Graph Database

Compared 9% of the time

SQL Server vs Neo4j Graph Database

Compared 8% of the time

DataStax Enterprise vs Neo4j Graph Database

Compared 7% of the time

ScyllaDB vs Neo4j Graph Database

Compared 7% of the time

More Neo4j Graph Database Competitors

Product Reports

Buyer's Guide

MongoDB Enterprise Advanced

January 2026

Download MongoDB Enterprise Advanced product report

Buyer's Guide

Neo4j Graph Database

January 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

December 2025

Free Report: MongoDB Enterprise Advanced vs. Neo4j Graph Database

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