IBM SPSS Modeler Scalability

Business75a1
Business Intelligence Manager at a manufacturing company with 1,001-5,000 employees
Scalability is infinite, because it can just spit out straight to our enterprise data warehouse, and we can use that to deploy anywhere. View full review »
ScottMiller
IT Specialist at a government with 51-200 employees
It is pretty scalable because you can have an SPSS server that we can work to offload, and it seems like we could deploy it to many people if we had the money. It is a little bit costly, but that is with any product like this. Compared to SAS, FICO, or any of their competitors, I think it is comparable. View full review »
Jerry Crabb
Director of Engineering at a logistics company with 1,001-5,000 employees
It scales. I have not run into any challenges where it will not perform. View full review »
Find out what your peers are saying about IBM, SAS, Knime and others in Data Mining. Updated: November 2019.
382,547 professionals have used our research since 2012.
Greg Michael
Dealer Analytics Product & Services Manager at a manufacturing company with 1,001-5,000 employees
The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool. View full review »
AltanAtabarut
Founding Partner at Altdata Analytics
The server is not cheap and not scalable enough. View full review »
VpDataAn413c
Vp, Data And Analytics at a financial services firm with 1,001-5,000 employees
It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it, market it. Even in terms of processing, it’s easier. View full review »
Michael Mance
Analyst at a transportation company with 10,001+ employees
It will scale up to anything we need. View full review »
Miguel Villalobos
Director - Institute of Advanced Analytics at a financial services firm with 501-1,000 employees
I have no issues with scalability. It's pretty scalable. It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler. One of the things that I have not done in Modeler, and I'm not sure if the capability is there, is to run things in parallel. I'm pretty sure they have it but I haven't used it. View full review »
Analyste076
Analyst at American Airlines
I do not know, that's more on the developer side. View full review »
UnitMana92c0
Unit Manager at a insurance company with 1,001-5,000 employees
We haven't had any performance problems. The product runs every data volume performantly and produces results. View full review »
Charles-Antoine Drouin
Bi Analyst at Health Canada
It is hard to define at this stage. View full review »
Enterpri6260
Enterprise analytics manager at a healthcare company with 10,001+ employees
SPSS Modeler should meet our needs going forward. It is very scalable for non-technical people. The challenge for the very technical data scientists: It is constraining for them. C&DS will not meet our scalability needs. View full review »
Vpb308
VP at a aerospace/defense firm with 10,001+ employees
It is pretty scalable. View full review »
ProductMe855
Product Manager at a financial services firm with 10,001+ employees
I don't use it for any high performance applications. View full review »
Find out what your peers are saying about IBM, SAS, Knime and others in Data Mining. Updated: November 2019.
382,547 professionals have used our research since 2012.
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