I would rate the scalability a nine out of ten.  If we look at our customers, we have large banks using this solution with hundreds of users, some with seven or eight hundred users, and smaller data sets with around one hundred users. When large banks use it for customer-facing applications, those are unlimited users from the internet. We also have internal applications with around three to four hundred users.

Oracle Exadata Express Cloud Service scalability can be defined from different perspectives. One is load, so it depends on the amount of data there is. If more data is coming in, can you scale the product to handle more data, basically sizing and performance, for example?

So, Oracle Exadata Express Cloud Service is scalable, and I'd give it an eight out of ten, scalability-wise. Scaling it can be a little tedious, but it can be done. I found the overall scalability of the solution good.

The solution is scalable. The whole idea of the cloud is to allow the ability to start small and then you can expand. Additionally, depending on the environment, you can switch it on or switch it off, if it is a UAT test environment or something similar. If it is a production, you can always scale up because provisioning of additional hardware is very fast on Oracle Cloud. The provisioning for the additional resources can be done within a couple of hours, and that is where the scalability comes into the picture. This reduces the project implementation time also because you do not have to install anything from the beginning, you only need to select the infrastructure and it can be provisioned very fast.

I rate the tool’s scalability a ten out of ten. It is scalable if we have enough resources and infrastructure. We cannot measure it. Either we can scale it up, or we cannot. About 50 to 70 customers use the product. We need two managers and ten engineers to maintain the solution.

It is a scalable product. I rate its scalability a nine out of ten.

The solution is scalable. We are a very big company. We have tens of thousands of users.

We have not encountered any scalability issues. The service is small (database size and CPU). The goal is not scalability.

In the cloud, Exadata is more scalable. The on-prem version was limited. It wasn't that scalable because it only came in a quarter rack, half rack, and full rack. In the cloud, it scales to what you need.