MongoDB Reviews

 MongoDB has been installed in our active presentation in Google.

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.

MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently.

I have been using MongoDB for approximately one year.

MongoDB is stable. It has been more stable in the cloud than what we experienced when we used it on-premise.

We are using MongoDB in the cloud and it is scalable.

We have approximately two clients using this solution.

The support from MongoDB has been great. We had to work with them during the data validation and support was helpful. There were a lot of people giving revisions during the migration and they were working for every dollar paid. We had a good experience with their technical support team.

The initial setup of MongoDB is a little complex. The setup was not complex but migrating the data from the existing resources to MongoDB was tough because we had to do some migration. If there was a better migration tool it would help.

I would recommend this solution to others. Having the solution in the cloud was a very clean process.

I rate MongoDB a nine out of ten.

We use MongoDB mainly for data visualization and filtering purposes.

MongoDB's most valuable feature is data visualization.

They could provide more documentation and examples for adding pipeline stages. There could be a feature where commands made in MongoDB could be easily copied and shared in their original format. This functionality would enable seamless transition and compatibility between platforms like Linux and mobile devices, reducing the need for complex filters or Citrix-based solutions.

We have been using MongoDB for five months.

I rate the platform's stability a nine out of ten.

My department has around 50 MongoDB users.

It is a cloud-based version and is simple to deploy.

We evaluated OracleDB and MongoDB. We decided to work with MongoDB as its interface is easier to understand and more universal. It offers ease of integration and simpler configurations compared to OracleDB. It also provides all the essential functionality.

I rate MongoDB a nine out of ten.

I think that MongoDB's search engine should be improved.

My impression is that this is a stable product.

My impression is that this is a scalable product.

When it comes to technical support, I am the same as our reseller. I use community help and google.

My impression is that the initial setup is straightforward.

MongoDB is a fast and safe solution.

I would rate this solution as a whole a seven, on a scale from one to 10, with one being the worst and 10 being the best.

I primarily use MongoDB for personal projects or minor stuff that I have developed for people who are starting. I'm currently doing testing on MongoDB for new features we're developing at my company.

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 MongoDB documentation can be a little complicated sometimes.

I have used MongoDB for three or four years. 

MongoDB is solidly stable. 

I rate MongoDB nine out of 10 for scalability.

I rate MongoDB support nine out of 10. It's pretty good.

Positive

Setting up MongoDB is super easy.

I rate MongoDB nine out of 10. I recommend reading up on NoSQL in general to learn the best practices. 

My use case for MongoDB is storing logs. Last semester, I worked on a malware and antivirus project, used the deep learning model based on the logs and data from the IDF and FreeRTOS, and stored the logs in MongoDB in a different file.

I store logs in MongoDB for later use, and then I can retrieve the logs and create a model accordingly.

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.

MongoDB could be more secure.

I've been using MongoDB for one year, but I'm not into creating a full-stack application in MongoDB.

MongoDB is a scalable solution. However, if it's loaded with queries, I can use Docker.

I've never contacted the MongoDB technical support team.

I have experience with MySQL and PostgreSQL, but I'm entirely focused on deep learning, so my team only uses MongoDB and Databricks. I'm not into complicated products, and I know what I can do with MongoDB and how to do it.

The initial setup for MongoDB is basic. It's not complex, but I didn't deploy MongoDB directly into AWS. I used AWS to access the database.

I'm using the free version of MongoDB.

I'm using the database MongoDB.

I'm probably using the latest version of MongoDB because I'm using the latest version of Docker.

I have a team of three working on a project that uses MongoDB.

I recommend MongoDB to others. In my college, almost everyone uses it.

My rating for MongoDB is nine out of ten.

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

MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery.

I've been using MongoDB for eight years.

MongoDB's stability is very good.

MongoDB's scalability is one of its best features.

The initial setup was pretty simple.

I would rate MongoDB eight out of ten.

We find the query and speed very valuable.

The performance of the solution could be improved.

We have been using the solution for approximately four years.

The solution is scalable, and we will gradually increase the amount of data stored in the solution.

The initial setup is a little bit complex for cluster deployment. Deployment took a couple of days, including testing.

The licensing for the solution is free.

I rate the solution a seven out of ten.

We use MongoDB for the applications. You can save two or three applications but there's a lot of people using those applications. 

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

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.

I have been using MongoDB for about five years.

MongoDB is a stable solution.

MongoDB is a scalable solution.

Customer service depends on your subscription. Suppose it's open-source, then hard luck because you won't get any support. But if you are paying for it, you can get some tech support. However, MongoDB's open-source community is also quite helpful. I'm satisfied with it.

The initial setup is straightforward. 

We implemented this solution by ourselves. One engineer is enough to deploy and maintain this solution.

You only have to pay for the paid version, not the open-source version.

I'll recommend MongoDB to potential users any day.

On a scale from one to ten, I would give MongoDB a nine.