MongoDB Enterprise Advanced Reviews

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 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 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.

We used MongoDB on AWS for a specific project.

We put MongoDB on AWS for a specific project. It's easy to use.

If something is wrong on the cluster, then you need to contact the support team. The stability could be better.

I used MongoDB for about a year.

It's okay. It's acceptable. The stability could be better.

If something is wrong on the cluster, you need to contact the support team. At first, when we were trying to build a cluster.

Neutral

We rated MongoDB a seven out of ten.

We use this solution for database verification purposes. Typically, we integrate other analytics tools with the solution, like databases and other tools.

The Dynamic Application is a valuable feature.

The analytics needs improvement.

I have been using MongoDB for a couple of years. 

Hundreds of users use the solution at present. 

The initial setup is straightforward.

Overall, I would rate the solution an eight 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.

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

People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries. This feature is working, but we can still achieve some integration and make it more flexible. It is not as easy as writing direct queries on Atlas. This feature will definitely increase a lot of users. RDBMS users think this is a different query language, MQL, which is uncomfortable for them.

I have been using MongoDB version 6.0 for more than 12 years as a customer.

MongoDB is a very stable solution. The solution is a leader, according to the Gartner report.

In our company, around 2000 to 3000 people are using the solution.

MongoDB’s technical support is awesome.

Positive

We previously used the RDBMS solution, MySQL.

MongoDB has five to ten times better performance than MySQL. MongoDB has a lot of advantages. With MongoDB, you can store any kind of data, including structured, unstructured, and semi-structured data. MongoDB has a lot of benefits over RDBMS.

It is very easy to deploy MongoDB. If it is deployed on-premises, it takes an hour. It does not need any additional prerequisites or configuration details.

We have seen a lot of ROI with MongoDB because it gives five to ten times better performance.

MongoDB's pricing is not reasonable, but it is not as expensive as the others.

The solution's pricing depends on the deal, which includes how long you will use it and the number of deployments. They do not have a fixed cost. However, the maintenance and support cost is included.

I am satisfied with the product.

Our organization has a DBA team of 50 people. However, the work for the DBAs is minimal because MongoDB intends to have zero DBA. They want to develop a product where the need for DBAs is minimized.

Users should approach MongoDB with an open mind, without thinking that it's a different technology altogether and has a different language. Users don't need to develop the application based on a schema. They can develop the application, and the schema will follow.

Overall, I rate MongoDB an eight out of ten.

We use MongoDB for monthly billing of the mobile software we provide to our client, Talent Post. It includes the services they use on their mobile devices.

One of the biggest benefits is the speed and flexibility of the documents, especially when it comes to modifications. It has definitely helped us to function more efficiently.

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

There is a need for improvement in MongoDB's customer support, better support would be great. 

Another feature that I haven't discovered yet but would be useful is a backup and restore process that can handle large database sizes. Right now, I have over three terabytes of data, including logs, which takes a lot of time for snapshot backups.

I started using MongoDB a couple of months ago.

The overall performance is faster than a relational database like SQL. But, the equation function in MongoDB is not as clever as the stored procedure in SQL. It's more complex to write the functionality like a stored procedure in MongoDB.

I would rate the performance of MongoDB a five out of ten.

I would rate the scalability an eight out of ten. I have around 2500 branches of users that use MongoDB simultaneously. We plan on increasing the usage.

I would rate the initial setup a six, where one is for easy and ten is for complex. It is a little complex. It's more complex when we think about deploying MongoDB with the shopping feature. But setting up MongoDB without consideration of shopping would be easy.

The deployment would take a day, but that includes testing. We didn't use any third parties. We deployed the solution ourselves.

I would rate pricing a seven out of ten. It is a bit costly.

I would definitely recommend using the solution.

Overall, I would give it a seven out of ten. The reason is the flexibility it offers, especially for deploying solutions for mobile services. Additionally, it's still considered a new technology in our country, so it's quite trendy.