The solution is scalable.

15 users, including developers, are using this solution.

It is a scalable and versatile solution.

Around seven people in my company use the product.

We have around three or four people on our team, and we have around eight to ten resources from the vendor or third-party supplier who are working with us. In total, we have a group of around fourteen people working on this project within a working month. We would like to increase the usage if everything goes well and is stabilized. We are happy with Informatica.

We have found the product to be quite scalable. I'd rate the scalability nine out of ten. 

We're providing the solution to 20 to 25 customers in the region. 

The tool is highly scalable. It is highly available and has multiple deployment options. We have more than ten customers.

The company I work for has fairly large customers. They are mostly medium to large customers.

It's able to handle quite large volumes. Especially in a big data ecosystem, it isn't a problem. I'd rate it an eight out of ten in terms of scalability.

The product is easy to scale. We are a medium-sized company.

The product offers good scalability. The scalability features are supported as the product is available on the cloud

Hardly one or two people from my company's customer list use the product. There are very few people who use the features provided by Informatica PowerExchange since most cloud services nowadays have their own native tools.

PowerExchange isn't flexible in terms of scalability. This is the nature of the product. For example, you cannot run multiple instances in high availability or active mode. 

It is a scalable solution depending on the environment which it is hosted.

There are about 10,000 users in my organization using the solution.

This is a scalable solution. My team is the only one in the company who uses it daily, and there are approximately 10 people in the group.

PowerExchange is easy to scale. We have about 20 users, who are mostly developers.

Informatica PowerExchange has what they call vertical scalability. For other integration techniques like integration that is deploying multiple parallel agents, and each agent would be collecting the data in parallel. So, you're doing horizontal scalability, adding more horizontal components, and all of them are running in parallel to process the same data. However, in PowerExchange, you can increase the processing power by adding more CPU or adding more resources to increase the capacity.

The solution is scalable. We can include many other sources and load it into the table. The solution can be scaled to various other transformations. We have 100-200 people using the solution currently. We do not plan to increase usage at this time.