Weka Competitors and Alternatives

Read reviews of Weka competitors and alternatives
Real User
Product Team at a healthcare company with 11-50 employees
Nov 13 2017

What do you think of IBM SPSS Modeler?

Primary Use Case I use it for research. It is able to do the basics but does not offer much variation. There are not a lot of options. • Valuable Features It is easy to use and robust. • Room for Improvement When I do clustering, I want to try a different stream, but currently the only thing that I can really pick is averaging. There are no other options. I would like to see more options added and some modeling things. • Stability Issues The stability is good. • Scalability Issues The scalability is good. • Other Solutions Considered JMP, because my team is moving toward SAS. I don't quite like SAS because of the user interface, but now they have JMP which is graphical and I like it. • Other Advice I would recommend SPSS to someone who has just started...
Real User
Modeling Analyst, Advanced Analytics - Decision Management at a consultancy with 10,001+ employees
Oct 03 2017

What is most valuable?

Well, actually, in terms of the technique that we use, and also the implementation, I prefer to use SPSS Clementine right now. It can cover a big amount of data, instead of just basic SPSS where you have limitations, how many observations you... more»

How has it helped my organization?

Similar to other tools, we can identify the pattern of the customers and we can differentiate between which customers we should target, which customer we should not target, and do some basic analysis. I think that's the thing that helps our... more»

What needs improvement?

Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement. Also, right now we're handling more and more data. Maybe, in the... more»
Real User
Business Analyst at a retailer with 501-1,000 employees
Apr 04 2018

What do you think of KNIME?

Primary Use Case All analytics individuals use KNIME to integrate multiple sources of data (SQL, excel, etc.) and prep the data for static reporting. • Improvements to My Organization We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics. • Valuable Features Visual workflow creation Workflow variables (parameterisation) Automatic caching of all intermediate data sets in the workflow Scheduling with the server • Room for Improvement The overall user experience feels unpolished.  Data field type conversion is a real hassle, and date fields are a hassle. Documentation is pretty poor. User community is average at best. • Use of Solution Less than one year. • Stability Issues ...

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