MongoDB Enterprise Advanced Reviews

I am not a partner of MongoDB; I am just a customer.

I do not use MongoDB in AI projects; only CosmoDB is used for AI projects, as MongoDB is an old pattern for us, and the new workload in AI is for a new pattern, which is CosmoDB for AI apps.

I would recommend MongoDB because it is a good pattern and a good product for legacy; for us, MongoDB is for legacy databases and legacy apps, and in this scope, it is a good pattern and a stable database engine; however, for new deployments and new applications, CosmoDB is a better engine.

My experience as a partner with Microsoft is very good because we have been a partner for three or four years, and it has been a very good experience.

MongoDB may have advantages over Cosmos DB perhaps in metrics because you can make some dashboards with database metrics, and there are many tools in MongoDB for dashboarding that are perhaps better than CosmoDB.

The dashboards in MongoDB have more functionalities; for example, you can create a dashboard with MongoDB database data, and it is simple to create, such as some sales dashboards, while I do not see this functionality to rapidly create such dashboards in CosmoDB.

MongoDB does well in being able to access our network devices and keep logs and reporting—that's about it.

I would recommend MongoDB as part of a template if anyone is considering free and open-source templating services such as LibreNMS, but as a standalone, I couldn't advise.

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

I use MongoDB to connect our backend with the MongoDB database. Once connected, it allows us to store and manage our data efficiently. 

It's particularly useful because MongoDB is a document-oriented database, so it doesn't require predefined schema definitions which MySQL does. I've used MongoDB in two to three projects.

The most valuable feature of MongoDB is the predefined functions available when using Node.js. These functions simplify the query process, making it user-friendly and straightforward. 

Additionally, MongoDB's flexibility in not requiring a predefined schema makes it adaptable to changes. 

Another advantage is the straightforward deployment process, especially when deploying on our own server.

We use MongoDB for handling document-based databases, specifically for sending unemployment forms using Form IO. 

In remote areas where technology is not widely available, the forms can be scanned and uploaded, and they are stored as key-value pairs in the MongoDB NoSQL database.

MongoDB allows us to store unstructured data with flexibility. It has enhanced our ability to file unemployment processes for individuals who cannot access the system to create a claimant ID.

MongoDB is a data storage platform. All our application databases are stored in JSON format, and we also use MongoDB replication.

MongoDB is pretty lightweight and fast on the web because we're using non-structured data. One of the reasons we chose MongoDB is that we don't have to worry about the schema. It is also available in the cloud, and we are going to move to Atlas Cloud for MongoDB. MongoDB has many good replication features and good performance.

I am basically a developer and also a freelancer. I take up a lot of freelance projects for which I use MongoDB. I use it for the database system on my website.

The tool provides some free packages for freshers, which is very good because a lot of beginners or students don't want to spend too much money on it. The tool is also user-friendly. I don't make any connections a lot of the time if I use MongoDB in my project.

I used the solution in the production level to search data and create education-based tutorials for a project. We had 30 managers, senior architects, tech leads, and software engineers working on the project. 

Currently, I use the solution for my personal work. 

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.