MongoDB Enterprise Advanced vs Neo4j Graph Database comparison

MongoDB Enterprise Advanced vs. Neo4j Graph Database

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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.

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

"The aggregation framework is really good, allowing a developer to build very complex queries."

"MongoDB has a simple data-loading interface."

"It is easy to set up."

"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."

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

"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."

"The reports are useful for controlling the load of our whole architecture."

"MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial."

More MongoDB Enterprise Advanced pros

"It enables circumstances which would have been a complex problem to be simplified."

"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."

"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."

"Creates the ability to visualize outputs."

"The graph modeling paradigm suits our data set well, where there may be orders of magnitude more connections between data points than data points themselves."

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

Cons

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

"Enhancing the documentation to make it more beginner-friendly is crucial."

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

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

"It would help if MongoDB offered a light solution for small projects."

"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."

"I have found the solution difficult to operate as an administrator."

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

More MongoDB Enterprise Advanced cons

"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."

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

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

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

"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 things I found unintuitive or difficult to understand, however I can't say this is a deficiency in the product and likely more a function of my relatively low experience."

Pricing and Cost Advice

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

"I believe that MongoDB is free."

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

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

"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."

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

"MongoDB is an open-source solution."

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

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

Educational Organization

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.

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...

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 ...

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...

What needs improvement with Neo4j Graph Database?

The only problem is that the community is quite small.

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...

MongoDB Atlas vs MongoDB Enterprise Advanced

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Compared 5% of the time

Redis vs MongoDB Enterprise Advanced

Compared 3% of the time

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Microsoft Azure Cosmos DB vs Neo4j Graph Database

Compared 22% of the time

Cassandra vs Neo4j Graph Database

Compared 9% of the time

DataStax Enterprise vs Neo4j Graph Database

Compared 7% of the time

SQL Server vs Neo4j Graph Database

Compared 7% of the time

MarkLogic vs Neo4j Graph Database

Compared 6% of the time

More Neo4j Graph Database Competitors

Product Reports

MongoDB Enterprise Advanced

Download MongoDB Enterprise Advanced product report

Neo4j Graph Database

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

MongoDB Enterprise Advanced vs. Neo4j Graph Database