Learn what your peers think about MongoDB Enterprise Advanced. Get advice and tips from experienced pros sharing their opinions. Updated: December 2025.
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.
The most valuable feature of MongoDB is the NoSQL database. In a SQL database, we need to join data together with a unique ID amongst other things, but in MongoDB, it's not required. We can directly receive all the information. The performance is very good. Additionally, they have frequent updates.
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.
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.
One of the first things I noticed when I had my first experience with MongoDB was how easy it was to use. I was expecting more difficulties or at least some challenges, but it was very, very easy to use. It's great technology, performs well, and is very convenient.
Product Engineer 2 at a logistics company with 501-1,000 employees
Real User
Jul 19, 2021
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 Manager at a insurance company with 10,001+ employees
Real User
Nov 18, 2020
It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions.
MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things.
Senior Information Technology Manager at a financial services firm with 51-200 employees
Real User
Sep 23, 2020
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.
Consultant at a tech services company with 201-500 employees
Consultant
Jul 18, 2019
Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability.
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...
MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
We decided to work with MongoDB as its interface is easier to understand and more universal.
The integration capabilities of MongoDB are fine for the solutions that we use in our company.
MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL.
It facilitates the generation of heatmaps for graphical data analysis.
MongoDB is easy to use.
The aggregation framework is very powerful when elaborating on data.
My impression is that the initial setup is straightforward.
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.
The most valuable feature is the speed of MongoDB.
The solution has good flexibility and very fast performance for searching data.
The most valuable feature of MongoDB is the NoSQL database. In a SQL database, we need to join data together with a unique ID amongst other things, but in MongoDB, it's not required. We can directly receive all the information. The performance is very good. Additionally, they have frequent updates.
I value the API integrations.
Migrating to MongoDB upgrades the IT environment and puts users in the NoSQL environment, which is faster.
The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it.
It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle.
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.
The solution is user-friendly with a good object retrieval feature.
MongoDB is cool. There is a difference between relational databases and newer databases like MongoDB. MongoDB is scalable and fast.
MongoDB is fast and efficient.
We've found the product to be scalable.
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.
One of the most valuable features of MongoDB is it is Its open source.
One of the first things I noticed when I had my first experience with MongoDB was how easy it was to use. I was expecting more difficulties or at least some challenges, but it was very, very easy to use. It's great technology, performs well, and is very convenient.
MongoDB is flexible and it allows other applications to be added.
The installation is very easy to do and understand.
I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle.
The aggregation framework is really good, allowing a developer to build very complex queries.
It is easy to use.
It is really a pretty easy product to use. It's very reliable, it's proven.
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.
like its performance and the stability. It's very stable and, performance-wise, it's really great.
MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person.
The clustering is very good. It allows us to have high availability.
The initial setup isn't really that complex.
It can handle a lot of files quickly.
It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour.
You can do small configurations to enable routing. It is easy to implement.
One of the most valuable features is the ability to Text Search can be used anywhere and anytime.
In our case, it is most important to have redundancy.
Its flexibility, and cost. It is reasonably priced.
MongoDB is relatively fast compared to relational databases.
I like the document storage feature. It's pretty simple.
It is easy to set up.
I like the schemaless architecture that it follows. I also like the sharding that it provides.
It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions.
MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things.
The solution's most important aspect is its seamless database.
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.
MongoDB has a simple data-loading interface.
The most valuable feature is the geometric information done with GeoJSON.
I find the integration with other tools very easy.
MongoDB is extremely developer-friendly because when you are starting, there is very little time needed upfront in terms of planning.
The community is great if you have problem.
We can define security rules at the database level or the cluster level to grant or deny access to particular users.
It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings.
We haven't had any issues with stability.
Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability.
Easier to maintain the data with its document-based storage.