Amazon EMR can scale to a large cluster. In our case, there are 40 EC2 instances. We are processing a lot of tables with half a billion rows per day.

It is designed for end users and pivot users who need to detect data patterns and generate reports. EMR is not a fixed-scale service, but it can be customized to meet the needs of any specific use case.

The solution can scale quite well. It's not a problem.

A lot of teams use the solution. We have two or three teams that use it. 

The product can scale. It's not a problem at all. 

Whenever we have scaling policies for load balancing and our load increases the input rate, we increase the resources. However, at that time Amazon AWS is not providing the scale of the required resources in a short time. It takes too much time to allocate resources, such as increasing the upscaling of the instances. The time overhead should be reduced. There is a performance issue between the cloud and on-premises.

There is some problem that we have not pinpointed yet, but there is computing power that is not up to the standards.

We have more than 1,000 people using this solution in my organization.

It is highly scalable. There are around 2,000 end users using this solution in our organization. 

Amazon EMR is a scalable solution. We have around twenty users, but they are engineering users. Outside, we have, our analytics product, which is being used for most of our clients. We have plans of upgrading the usage of the solution. 

I rate the scalability a seven out of ten, and approximately seven amazon users who are architects, project managers, and testers use the solution in our organization. We intend to gradually increase the usage in our organization by at least five to ten percent annually.

The tool is scalable.

The solution is scalable.

It is a scalable platform and suitable for enterprise businesses.

It's managed services, so it's scalable as much as you wish. 

There are something like 40 to 50 people using EMR in my organization. 

No.

The solution is scalable, you can choose the cluster with the instance you need depending on memory or storage or GPU as you need. There are about five users in the company. 

I can't exactly speak to the scalability of the solution just yet. All of the products we are using are in the development phase. We're testing everything out. Once we go into production we'll likely look more closely at scaling, however, at this point, it's not necessary. Therefore, I can't really discuss anything about it.

No issues encountered.

Sometimes there were issues.