Microsoft Azure Machine Learning Studio Scalability

Alexandre Akrour
CEO at Inosense
We never went into production because we switched to Azure Databricks. We did, however, try some performance testing and tried scaling some resources. The scalability of this solution is quite easy. It is not difficult compared to some of the other tools that are available on Azure. We have only five users including data engineers, data scientists, and one data DevOps engineer who was working with us on creating all of the DevOps pipelines for deploying all of our models. View full review »
ChrisPeddie
Tech Lead at a tech services company with 1,001-5,000 employees
Scalability for us was fine. We have about seven hundred users including customer service agents, sales agents, and cell phone account managers. It took us about twelve months to scale to this point, from an initial user base of seventy people, and we do not plan to increase usage further. View full review »
MikayilBekooglu
CRM Consultant at a computer software company with 10,001+ employees
I don't have enough knowledge about the solution's scalability to be able to comment on it. Right now, we have about 5,000-6,000 users on the solution. Most are data scientists, and IT admins. View full review »
Find out what your peers are saying about Microsoft, Databricks, Alteryx and others in Data Science Platforms. Updated: July 2020.
430,376 professionals have used our research since 2012.
Omar AKIL
Big Data & Cloud Manager at a tech services company with 1,001-5,000 employees
The solution is extremely scalable. This is because it's on the cloud. If a company needs to scale up they can do so quickly and easily. At the moment, we have five employees using the solution. They are data scientists and engineers. View full review »
Girish Mudlagiri
Director at a tech services company with 1,001-5,000 employees
I believe that it is scalable. At this time, we have not more than ten users. These include programmers, as well. View full review »
Find out what your peers are saying about Microsoft, Databricks, Alteryx and others in Data Science Platforms. Updated: July 2020.
430,376 professionals have used our research since 2012.