SAS Enterprise Miner Scalability

HV
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.

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SP
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.

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SK
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.

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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
Head Of Risk Management at a financial services firm with 11-50 employees

The solution helped me scale up several of my analytical projects.

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PS
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.

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HV
Executive Head of analytics at a retailer with 5,001-10,000 employees

I haven't experienced any issues with scalability. 

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it_user1272276 - PeerSpot reviewer
Data Analyst at a financial services firm with 201-500 employees

The scalability is good enough.

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VA
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.

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CG
Director at EBI

The solution is scalable.

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SA
Founder and CEO with 11-50 employees

The solution is scalable.

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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.