The solution is scalable so I rate scalability a nine out of ten. 

The solution is scalable. 

We can scale. It went hand in hand with our AWS journey and the cloud infrastructure. I remember one scenario which involved a quite popular product in the Czech Republic. It was for savings accounts. We were actually able to predict the number of interactions being required during the phase of the product opening. We prepared the infrastructure from MongoDB and after that period of time, it was shrunken back to the original size. It scaled up and down exactly as we needed it to.

We have seven internal people including analysts and data engineers working on the solution. They are creating tables and preparing the data loads.

We use it quite a bit now. We take it as the second option for initial test requirements in regards to the data infrastructure. The Oracle Database is not the first choice anymore, except for the Tier 1 pieces of processes.

Based on our experience so far, scalability is rated a nine out of ten. 

Scalability-wise, I rate the solution a seven out of ten.

It is always important to ensure that users use the latest version of MongoDB if they want to use the scalability features of the product.

There are more than 1,000 users of the solution.

My company plans to expand the number of users of the product.

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

We have approximately two clients using this solution.

It is scalable.

The solution is not really scalable. I give the scalability a six out of ten.

We have ten people using the solution and we plan on increasing the number of users.

It is possible to scale this solution but it has a problem with the replication.

I rate MongoDB nine out of 10 for scalability.

I rate the scalability of MongoDB a seven out of ten.

It emerges as a favorable choice for customers seeking efficient data storage and scalability. On a scale of one to ten, I would rate it at eight.

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

MongoDB is scalable.

We have approximately seven backend developers using this solution.

My department has around 50 MongoDB users.

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

It is a highly scalable solution. In fact, a friend of mine who works as a stock market analyst and operates using one of the popular websites in India also uses MongoDB for his work and finds it very efficient. Scalability-wise, I would rate the solution a nine out of ten. From my end, only four to five people use the solution, but from my organization's perspective, around 500 users are utilizing it.

MongoDB is a scalable solution.

MongoDB is a scalable solution. MongoDB has its own problems, but if you have good maintenance, it's okay. Since it's for internet applications, we can have tens of thousands or hundred thousand users.

My impression is that this is a scalable product.

MongoDB's scalability is one of its best features.

MongoDB is scalable.

More could be done to improve the scalability.

Currently, we have about 1,000 to 5,000 employees all over India. Most of us are using MongoDB for internal projects. 

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. 

MongoDB is definitely scalable. By setting up a cluster, we are able to scale well.

At this point, we are only using it for login purposes and only with two or three applications.

I'd rate the scalability nine or ten out of ten. It allows for horizontal scaling, which is quite useful when dealing with big data.

We have about ten people using the solution at this time. One-third of the company ends up using the solution.

We may increase usage. It depends on the business needs. However, in Italy, I have noted MongoDB is expanding.

It's a scalable solution. We haven't had any issues. 

We are in development mode, and not really used by users. We have five people for development.

We can't know for sure if we will continue to use this solution. We are still in the development phase so we have to see when we finish.

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.

MongoDB can scale but you will need to pay for the upgraded solution.

It is very scalable. You can add nodes every day to the replica.

We're not currently using the alert implementation of MongoDB, but it's enough for us and we can escalate to put in more machines if we like. We are not using that many implementations.

The solution has been scalable so far for our level of raw data and we expect it will be good even if we complete the whole project.

We have not tried to scale our implementation of MongoDB.

It's massively scalable. It is very scalable in terms of being able to store a lot of this information over time.

In terms of how many users are using this solution, it was a large database with many objects being pumped into it. But, for our purposes, it was just not necessarily the number of users, but the amount of automation being integrated

It was used by the Provincial department of health, or country. So it was basically the nine provinces in South Africa. And each of them had it. It was all the HIV and TB data for all the departments of health in South Africa. It was big.

There were five MongoDB users in our organization working in different teams.

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

I've heard that MongoDB is pretty scalable, but we never did any big deployment. I've read a lot about how it scales and can handle huge data. 

It is a scalable solution.

This is a scalable solution. We have close to 100 developers who use it. In addition, our entire business makes use of MongoDB. Everything the customer does makes use of this solution, so I would say that we have at least 100,000 users.

The solution can be scaled without any issues.

It is scalable.

The solution is extremely scalable When we need to expand it out, we know we can do so easily.

In terms of scalability, if you compare it with the traditional database system, it's quite scalable.

We have ten to 15 users on the solution currently.

MongoDB is scalable.

We have approximately 30 people using this solution in my organization. 

It is scalable.

No scalability issues.

This is a scalable solution that is better for data analysts when compared to a traditional database.

Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability.

MongoDB is a scalable solution.

I have found MongoDB to be scalable.

We have approximately 200 users using this solution.

MongoDB is a scalable product.

We have five users in our organization who are using it.

MongoDB is scalable. It's very good.

In terms of scalability, all I can say is that in the organization, everybody uses it.

This solution is both scalable and stable.

There are a lot of options to make it scalable.

This solution is scalable.

MongoDB has a "heavy" architecture, which limits the scalability options.

We do not have plans to increase the usage at present.