The solution has good flexibility and very fast performance for searching data in comparison to Oracle DB or MS SQL.  

The solution is very lightweight and uses JSON syntax to insert or search records. 

The reports are useful for controlling the load of our whole architecture. We compare different reports to different levels, applications, and modules of our whole architecture. 

We are actually taking MongoDB as serious database tech. It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle. When we have some processes which really don't need Oracle, we use MongoDB as the first option to see if it wouldn't be cheaper to leverage.

The solution is able to handle large data. 

The solution does not hold data in tabular format like SQL does but rather clusters data so that it can link on a large scale. 

MongoDB is very stable, and, by that I mean, amazingly stable. Using javascript was the key to have a wide range of functionalities based on its syntax and grammar. The aggregation framework is really good, allowing a developer to build very complex queries. The fact a developer builds some functions and can run through the whole cluster, actually and efficiently using all the resources available, is a great advantage. It's given the developers a very robust path to building whatever procedures they need. MongoDB is very, very stable.

The most valuable features of the solution are that it appeases our company's needs and is quick.

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.

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.

MongoDB is easy to use. 

The most valuable feature is the speed of MongoDB.

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

The most valuable feature is the geometric information done with GeoJSON. We search the points, and we can perform searches for the data using the RPA for MongoDB. We can ask for points in the geometric shapes or points near other points.

The most valuable feature of MongoDB is the ease of connections, aggregation, and queries. Additionally, there is plenty of documentation available for assistance if you require it.

It facilitates the generation of heatmaps for graphical data analysis. This can be valuable for visualizing patterns and trends in data. While other databases like Cassandra may also serve this purpose, MongoDB stands out for its simplicity in handling complex queries and graphical data representation.

Sharding is an excellent feature of MongoDB. Atlas is an awesome feature of MongoDB that makes life easy.

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.

MongoDB's most valuable feature is data visualization.

I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too.

Feature-wise, I like how MongoDB stores attachments because it allows me to store the results of the attachment and pull them up whenever needed instead of having to generate them every time. I can save those results as PDFs and other formats rather than just saving the data and then having to regenerate it. This approach enables me to analyze the attachments and research existing data, making it easier to retrieve information when needed. Overall, MongoDB has helped manage and analyze attachment data.

I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle.

MongoDB's best features are scalability, document management, and data security.

The solution is user-friendly with a good object retrieval feature. There are no joins, queries are fast and the product provides helpful drivers. I like the abstraction layers. 

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.

I like the schemaless architecture that it follows. I also like the sharding that it provides.

The most valuable feature is that we don't need a schema to store the data.

The security is very good. Cybersecurity, authentication, authorization, and server certifications are all valuable features. We can define security rules at the database level or the cluster level to grant or deny access to particular users.

This is a highly available architecture. If you are using a three-node cluster and one of these goes down then either of the secondary nodes will become a priority to eliminate downtime from the application's perspective.

You can manage very fast queries with MongoDB in JSON format. 

The clustering is great. You can have multiple clusters in MongoDB.

It is scalable. Technical support is helpful. 

MongoDB is the best choice for us when we want to store NoSQL-type data.

The clustering is very good. It allows us to have high availability.

The performance is good. 

It has quite good web analytics. It is pretty stable. There is more in-depth management of the data.

It's a NoSQL/Document DB and has some peculiarity related to the data schema but it's also good as a general-purpose DB.

The replication works very well and is in the box. 

In clusters, there is the choice to have horizontal scaling, which improves performance on a huge amount of data.

The aggregation framework is very powerful when elaborating on data. 

It has good high availability.

It's an essential DB. 

It has very good performance for queries.

It is free to use if you choose the community version.

It is stable and reliable.

You can easily scale the solution.

In our case, it is most important to have redundancy. It supports a replica set and it allows us to use mutual TLS for authentications with the certificates.

The documentation is useful.

The best advantage of MongoDB is the flexibility and scalability of the database.

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

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.

I value the API integrations.

The most valuable feature of the solution is the ability to easily store documentation regarding structures. 

We can easily connect to MongoDB and search without transformation, without joining. If we want to use a simple search it's really fast. 

The initial setup isn't really that complex.

The solution is pretty stable overall.

MongoDB is very valuable for us due to the large amount of entries that we can install in the database. The solution makes it very easy for us to develop with these databases. It is also easy for development and to list all our entries in a single table. 

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

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. For example, in our online shopping product, different products have different features and there is no structure for all of the data.

The usability is good.

Compared to a relational database, the performance is good.

One feature that we found most valuable is that it is completely open source - this was majorly important. Because we worked for a nongovernmental organization we had to work with only open source tools. So that was a big selling point for MongoDB. We also needed a document-based DB to build this FHIR application on top of, MongoDB offers. 

Another major selling point was that they're massively scalable. The fact that unlike relational databases, MongoDB allows a lot more scalability and it was more suited for the type of data that we were storing, which was semi-structured healthcare data. It provided very nicely for the standards that we were working - FHIR - which could be interfaced with JSON and Mongo. It had very good JSON capability and storage. Overall, it was a combination of what we were trying to store and the scalability in terms of being able to store a lot of this information over time.

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

We find the query and speed very valuable.

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 scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person.

MongoDB is extremely developer-friendly because when you are starting, there is very little time needed upfront in terms of planning. Whenever a developer wants to build a certain feature, they simply define a key and a value and that's it.

It is very easy to create an index on a field that you want to have searchable.

All of the documents are stored in JSON format, which gives developers a lot of flexibility.

The feature I find most valuable, is that it is easy to use. Even a non-technical person will be able to understand it. I also find the integration with other tools very easy.

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.

There is also a lot of transaction-related support from MongoDB.

It is easy to set up.

The solution is a very dynamic product. It becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment.

The solution is easy to deploy.

The product can scale quite well.

The cloud version of the solution is very affordable.

The solution's most important aspect is its seamless database.

The solution offers excellent documentation.

The solution's most valuable aspect is its ability to store and fetch. Both the processes are easy with this tool. Patching and sewing are simple.

The solution is stable.

We've found the product to be scalable. 

The initial setup is pretty straightforward.

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

Its flexibility, and cost. It is reasonably priced.

• Its capability to do quick, powerful aggregations has caught my attention. 
• The search queries are pretty fast and mean time to get response is around 50-100/ms. 
• The installation is very stable.

MongoDB has a simple data-loading interface. It is not as formal as a traditional database system.

In general, I am satisfied with this solution.

MongoDB is fast and efficient.

One of the most valuable features of MongoDB is it is Its open source.

It is easy to use.

MongoDB is really tough when it starts.

I like the document storage feature. It's pretty simple. I also like the distribution of databases. It's easier to put information about my users.

I'm a developer, so I use it only in development. I'm not an IT professional or upper level guy. It is really a pretty easy product to use. It's very reliable, it's proven. 

MongoDB is relatively fast compared to relational databases. The files are stored in XML format, which is a stable format. 

MongoDB is also great for managing logs.

Databases provide the data and any software can access those databases as per the access protocol — the database itself provides the data.

You can have the same database in multiple geographic locations. You can update it from different locations and the other locations also get updated. In that way, it is a good product. Very good.

• The document space is the main feature of it. 
• It has good performance.
• The community is great if you have problem.

I like its performance and the stability. It's very stable and, performance-wise, it's really great.

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

• Reliability
• Enterprise integration
• Documentation
• Certification
• Support