RapidMiner Scalability

FF
Student at a university with 1,001-5,000 employees

I'm not sure of the level of scalability. I haven't used it for every task or extensively.

For now, I'm just using it for myself, for education purposes. 

View full review »
AL
Professor at Mines Rabat

The scalability of RapidMiner is good.

Over the past year, I had 63 student users using the solution.

View full review »
LM
Emeritus Professor of Health Services Research at a university with 1,001-5,000 employees

I have not yet been able to assess scalability. If my university acquires the server version then this is something that I will be able to test. As so far I have been using the desktop version, the question has not yet arisen.

View full review »
Buyer's Guide
Predictive Analytics
March 2024
Find out what your peers are saying about RapidMiner, Alteryx, DataRobot and others in Predictive Analytics. Updated: March 2024.
765,234 professionals have used our research since 2012.
MN
Senior Manager, Digital Solutions at a tech services company with 1,001-5,000 employees

Scalability is not really a concern with RapidMiner. The implementation that I have seen of this product for our client now is very sizeable. It scales very well.  

View full review »
SW
0 at ChangXin Memory Technologies, Inc.

It is a scalable solution.

View full review »
it_user719814 - PeerSpot reviewer
Senior Community Manager at a tech vendor with 51-200 employees
AA
Executive Director at a philanthropy with 201-500 employees

I can't say much about scaling up RapidMiner because we're using it for only one department.

View full review »
LM
Senior Manager at a consultancy with 201-500 employees

RapidMiner is for companies that want to start a long journey in machine learning. It's not for experimenting. I would not use RapidMiner for that because it's a comprehensive and trusted company solution. That's why it's always leading in the Gartner Quadrants.

View full review »
AL
Professor at Mines Rabat
RS
Senior Product Manager at CustomerXps Software

In terms of scaling, it depends on the model you are deploying. When you build a model in a batch, scale is not an issue, because you can run it for hours or days to train the model. Currently, our company works within banks where we process around 10-20,000,000 transactions per day on a single site in the bank. 

You need to balance everything. In a real-time system, like the way we are operating, where we have a high case of having to send a response in less than one second, we need to have a balance. There are various ways we make sure, according to the deployment model, that we can respond within that one-second timeframe.

 Typically the kinds of people using the solution are data scientists and data analysts.

View full review »
AB
DATA STRATEGY at a tech services company with 51-200 employees

The scalability is important. For example, it's very easy to quote the desktop software. They tell, for example, how much data science users are going to be working with on the machines, in terms of creating models. You need to know how many concurrent users there are going to be. For that, you will have to quote the RapidMiner server. It can get very complex quoting once you get into operationalizing your models. 

They don't fully help you figure things out in terms of big accounts and scenarios. We'd like to have someone really technical assist. That type of person would know what questions to ask.

View full review »
PS
Pre Post Sales Engineer at a wholesaler/distributor with 10,001+ employees

The solution is stable. I think the tools the product provides are all that I require for my specific needs. 

View full review »
RK
Data Scientist at a wireless company with 51-200 employees

This is a scalable solution.

View full review »
it_user1025025 - PeerSpot reviewer
Project Engineer at a engineering company with 10,001+ employees

I only used this solution locally, on my laptop.

View full review »
Buyer's Guide
Predictive Analytics
March 2024
Find out what your peers are saying about RapidMiner, Alteryx, DataRobot and others in Predictive Analytics. Updated: March 2024.
765,234 professionals have used our research since 2012.