IBM Watson Studio Competitors and Alternatives

The top IBM Watson Studio competitors are
  • IBM SPSS Modeler
  • Microsoft Azure Machine Learning Studio
  • H2O.ai
  • RapidMiner
  • Domino Data Science Platform
  • Alteryx
Read reviews of IBM Watson Studio competitors and alternatives
Alteryx Logo
Alteryx
Alberto Guisande
Real User
Director at Decision Science
Aug 07 2018

What is most valuable?

* The codeless concept and speed of processing are unique. Super intuitive to use and easy to master. No coder needed.... more»

How has it helped my organization?

Alteryx speeds up the time to obtain business answers/insights on data. It can quickly process huge amounts of data. It... more»

What needs improvement?

Even when it already includes some AI models, this area could be improved. The another area which could be improved is... more»

What's my experience with pricing, setup cost, and licensing?

Opt for the three year subscription. It is 20% less than the yearly one. It is $4,000 a year, so it is cheap versus... more»

Which other solutions did I evaluate?

I used several ETL tools, but none had the scope of Alteryx nor the ability to perform the analysis itself.

What other advice do I have?

Download the trial and test it. You will be amazed. It is the complete package for people who work with data. Most... more»
Vpb308
Real User
VP at a aerospace/defense firm with 10,001+ employees
Mar 20 2018

What do you think of IBM SPSS Modeler?

Primary Use Case: We are primarily interested in the supply chain data analytics, focusing mainly on procurement. We believe that there is a lot of value in spend analytics because of the following: Understanding and identifying opportunities. Reduced prices. Ability to better do negotiations. Understanding better the categories.  • Valuable Features: We are interested in finding the right model in order to do data mining correctly. We want to learn and understand which models are best for us, then know in which cases to use them.  • Use of Solution: Trial/evaluations only. • Scalability Issues: It is pretty scalable. • Initial Setup: Based on several discussions that we have had with our local representative, the initial setup should be quite short, a few weeks,...
Jusiah Noah
Real User
Co-Founder at a tech services company with 51-200 employees
Jul 25 2017

What do you think of Microsoft Azure Machine Learning Studio?

Valuable Features: Feature-based selection Compute Data services. • Improvements to My Organization: Simplified development as scripts can be designed and implemented in real time. • Room for Improvement: I would like to see better prediction and analysis. • Use of Solution: We have used it for a few months. • Deployment Issues: Good support is available when needed. • Stability Issues: Stable at moment. • Scalability Issues: There are no scalability issues at the moment as data volume is still low. • Customer Service and Technical Support: Customer Service: Customer service is good. Technical Support: Technical support is good. • Previous Solutions: We did not use a solution previous to this one. • Initial Setup: It was complex to setup...

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