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 15.0% mindshare in ND, compared to Neo4j’s 6.2% 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

5,044 Views
2,976 Comparison Views

92% willing to recommend

Neo4j Graph Database

Read 6 Neo4j Graph Database reviews

1,078 Views
938 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Neo4j Graph Database

Comparison Buyer's Guide

Download the report

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

Download the complete report

Helped 881,082 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

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 January 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 15.0%, down from 21.1% compared to the previous year. The mindshare of Neo4j Graph Database is 6.2%, up from 3.9% 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	15.0%
Neo4j Graph Database	6.2%
Other	78.8%

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.

Read full review

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

"It is a stable solution. Stability-wise, I rate the solution a nine out of ten...Overall, MongoDB has helped manage and analyze attachment data."

"The installation is very easy to do and understand."

"We've found the product to be scalable."

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

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

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

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

"MongoDB is flexible and it allows other applications to be added."

More MongoDB Enterprise Advanced pros

"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."

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

"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."

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

"Creates the ability to visualize outputs."

Cons

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

"Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use."

"The MongoDB documentation can be a little complicated sometimes."

"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."

"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."

"The dashboard is an area of concern in the solution where improvements are required."

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

"I would like to see the scalability and security improved."

More MongoDB Enterprise Advanced cons

"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."

"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."

Pricing and Cost Advice

"This is an open-source solution."

"We use the open-source version, which is available to use free of charge."

"I believe that MongoDB is free."

"We are using the Community Edition of MongoDB."

"I only used the open-source version."

"It's open-source."

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

"MongoDB is not expensive."

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."

See which vendors are best for you

Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.

See recommendations

881,082 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

Manufacturing Company

University

Financial Services Firm

17%

Computer Software Company

10%

Energy/Utilities Company

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

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

InfluxDB vs MongoDB Enterprise Advanced

Compared 6% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 5% of the time

Faiss vs MongoDB Enterprise Advanced

Compared 3% of the time

More MongoDB Enterprise Advanced Competitors

Microsoft Azure Cosmos DB vs Neo4j Graph Database

Compared 26% 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 8% 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

Find out what your peers are saying about MongoDB Enterprise Advanced vs. Neo4j Graph Database and other solutions. Updated: December 2025.

DOWNLOAD NOW

881,082 professionals have used our research since 2012.

See our MongoDB Enterprise Advanced vs. Neo4j Graph Database report.

See our list of best NoSQL Databases vendors.

We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.