MongoDB Enterprise Advanced 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 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.

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. 

If we don't have relational data we use MongoDB. It is in JSON format, and we can use JSON. Therefore, without relational data, without type coupling with columns, we can use MongoDB. We use it for queries.

The most important aspect is the clustering part. If you have read/write databases, then MongoDB will be easy to use. You can split those databases. We can save the data into JSON without relational data. 

It is very fast - faster than an SQL or MySQL Server.

Therefore, if you have unstructured data, you should go with MongoDB.

I work with Kafka. Kafka is sending a lot of data - millions of records in seconds. It is not easy to just pass it into the SQL Server. Instead, we are sending those drivers to the MongoDB Server, the MongoDB database. it is very fast

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. 

We'd like to have access to foreign keys.

Sometimes we need to be able to delete unintended data from the end user, and we'd like to have that capability.

The solution is a bit expensive.

There can be stability issues. 

I've been using the solution for three years. 

Sometimes you have multiple requests at the same time and there are thousands of millions of data points. There may be performance issues in that case. Sometimes it is stable and sometimes it is not. 

The solution can handle multiple clusters, so the scaling is fine. Sometimes scaling is not required if you have multiple read databases.

I also use AKS and you can use AKS functionality to scale MongoDB services. 

Technical support is okay.

Neutral

We have it deployed on the cloud with a container. 

It is not a complex setup. It is easy to use. You just compose a file and deploy it from there. 

We have one DevOps team that can handle deployment tasks there are three to five people on it.

We have not witnessed an ROI.

The pricing is okay. It's a bit expensive. I'd rate it eight out of ten in terms of affordability. 

We're using something around version three. 

Overall, I'd rate the solution nine out of ten.