SAS Enterprise Miner Scalability
HV
reviewer1352853
Executive Head of analytics at a retailer with 5,001-10,000 employees
I rate the tool’s scalability an eight out of ten. It is easy to scale, but it is linked to costs. The more we scale it, the more expensive it becomes. Around ten people use the solution in our organization.
View full review »SP
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 »SK
reviewer1447110
Senior Systems Engineer at a financial services firm with 10,001+ employees
I don't really know to much about the scalability of the solution. It's not something I generally dealt with.
View full review »Buyer's Guide
Data Mining
March 2024
Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: March 2024.
768,578 professionals have used our research since 2012.
AK
AtherKhan
Head Of Risk Management at a financial services firm with 11-50 employees
The solution helped me scale up several of my analytical projects.
PS
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 »HV
reviewer1352853
Executive Head of analytics at a retailer with 5,001-10,000 employees
I haven't experienced any issues with scalability.
The scalability is good enough.
View full review »VA
V Shekhar Avasthy
Chief Data Scientist & Principal Consultant, StatLabs® at Facts n Data at a consultancy
It gets painfully slow with raw data in excess of 50GB and one has to go for multi-socket server based licensing that gets prohibitively expensive.
CG
ChunqiangGong
Director at EBI
The solution is scalable.
View full review »SA
reviewer978702
Founder and CEO with 11-50 employees
The solution is scalable.
View full review »Buyer's Guide
Data Mining
March 2024
Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: March 2024.
768,578 professionals have used our research since 2012.