20 Ratings
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Score 6.8 out of 100
6 Ratings
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Score 8 out of 100

Likelihood to Recommend

Azure Machine Learning Studio

For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.
All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.
If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.
Anonymous | TrustRadius Reviewer

IBM Watson Machine Learning

Wherever you have a well qualified, segregated, data set with a clear problem definition any machine learning tool can be deployed. However, the key is to help the client define the problem to create the baseline on the performance and show improvements. It may so happen that we may not need a machine learning tool. This is where the execution of IBM Watson Machine Learning is lacking.
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Pros

Azure Machine Learning Studio

  • User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
  • Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
  • Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
  • Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
  • Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.
Gabriel Chiararia | TrustRadius Reviewer

IBM Watson Machine Learning

  • Good machine learning tool
  • Easy integration
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Cons

Azure Machine Learning Studio

  • It would be great to have text tips that could ease new users to the platform, especially if an error shows up
  • Scenario-based documentation
  • Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason
Anonymous | TrustRadius Reviewer

IBM Watson Machine Learning

  • IBM Watson Machine Learning delivery is challenging
  • IBM Watson's deployment business skill gap
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Usability

Azure Machine Learning Studio

Azure Machine Learning Studio 7.0
Based on 2 answers
Easy and fastest way to develop, test, deploy and monitor the machine learning model.
- Easy to load the data set
-Drag and drop the process of the Machine learning life cycle.
Anonymous | TrustRadius Reviewer

IBM Watson Machine Learning

No score
No answers yet
No answers on this topic

Support Rating

Azure Machine Learning Studio

Azure Machine Learning Studio 6.2
Based on 2 answers
Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
Anonymous | TrustRadius Reviewer

IBM Watson Machine Learning

IBM Watson Machine Learning 4.0
Based on 2 answers
IBM had a hard time providing business level support. There were a lot of data scientists and technology experts but rarely a simple business person shows up. Also the way IBM operates IBM Consulting has competing priorities as compared to IBM Technology. This has resulted in a lot of confusion at the client's end.
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Implementation Rating

Azure Machine Learning Studio

Azure Machine Learning Studio 8.0
Based on 1 answer
Anonymous | TrustRadius Reviewer

IBM Watson Machine Learning

No score
No answers yet
No answers on this topic

Alternatives Considered

Azure Machine Learning Studio

It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
Anonymous | TrustRadius Reviewer

IBM Watson Machine Learning

We have been using Microsoft Azure as a machine learning tool. But the challenges remain the same. These are all tools that you need a robust analysis before a decision on the tool. Unfortunately, the technology company cannot make that determination due to lack of core business understanding. Without that the project is doomed.
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Return on Investment

Azure Machine Learning Studio

  • Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
  • Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
  • Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details
Gabriel Chiararia | TrustRadius Reviewer

IBM Watson Machine Learning

No answers on this topic

Pricing Details

Azure Machine Learning Studio

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Azure Machine Learning Studio Editions & Modules

Edition
Studio Pricing - Free$0.001
Studio Pricing - Standard$9.992
Production Web API - Dev/Test$0.003
Production Web API - Standard S1$100.133
Production Web API - Standard S2$1000.063
Production Web API - Standard S3$9999.983
  1. per month
  2. per ML studio workspace/per month
  3. per month
Additional Pricing Details

IBM Watson Machine Learning

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

IBM Watson Machine Learning Editions & Modules

Additional Pricing Details

Add comparison