SAS Enterprise Miner Scalability

reviewer1388421
Professor at a university with 1,001-5,000 employees
I've never seen any limitations on the solution when it comes to scalability. However, I don't know what's possible. I don't know to what extent people might want to apply it, and whether it's going to be scalable or not. It suits my needs perfectly. Dozens of people use the solution within my organization. View full review »
Shilpa Prakash
Analytics Lead at Pegasus
I haven't tried to scale because we don't have an extensive user base, so I can't speak to scalability. View full review »
reviewer1352853
Executive Head of Collections at a retailer with 5,001-10,000 employees
I haven't experienced any issues with scalability. View full review »
Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: August 2020.
437,557 professionals have used our research since 2012.
ChunqiangGong
Director at EBI
The solution is scalable. View full review »
reviewer1272276
Data Analyst at a financial services firm with 201-500 employees
The scalability is good enough. View full review »
reviewer978702
Founder and CEO with 11-50 employees
The solution is scalable. View full review »
Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: August 2020.
437,557 professionals have used our research since 2012.