Azure Machine Learning vs. Tonkean

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Machine Learning
Score 8.0 out of 10
N/A
Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.
$0
per month
Tonkean
Score 0.0 out of 10
N/A
Tonkean uses AI to autonomously coordinate, execute and manage your business workflows, across data and people, so nothing falls through the cracks. The company's platform automatically connects to the interfaces users already use such as forms, email, chat, or other tools, based on the needs and preferences of each individual, enabling operations teams to quickly create adaptive modules to solve their unique challenges in a way that doesn't require new systems or engineering work.
$10,000
per month
Pricing
Azure Machine LearningTonkean
Editions & Modules
Studio Pricing - Free
$0.00
per month
Production Web API - Dev/Test
$0.00
per month
Studio Pricing - Standard
$9.99
per ML studio workspace/per month
Production Web API - Standard S1
$100.13
per month
Production Web API - Standard S2
$1000.06
per month
Production Web API - Standard S3
$9999.98
per month
No answers on this topic
Offerings
Pricing Offerings
Azure Machine LearningTonkean
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
More Pricing Information
Community Pulse
Azure Machine LearningTonkean
Top Pros

No answers on this topic

Top Cons

No answers on this topic

User Ratings
Azure Machine LearningTonkean
Likelihood to Recommend
8.0
(4 ratings)
-
(0 ratings)
Likelihood to Renew
7.0
(1 ratings)
-
(0 ratings)
Usability
7.0
(2 ratings)
-
(0 ratings)
Support Rating
7.9
(3 ratings)
-
(0 ratings)
Implementation Rating
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Azure Machine LearningTonkean
Likelihood to Recommend
Microsoft
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.
Read full review
Tonkean Inc
No answers on this topic
Pros
Microsoft
  • 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.
Read full review
Tonkean Inc
No answers on this topic
Cons
Microsoft
  • 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
Read full review
Tonkean Inc
No answers on this topic
Usability
Microsoft
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.
Read full review
Tonkean Inc
No answers on this topic
Support Rating
Microsoft
Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
Read full review
Tonkean Inc
No answers on this topic
Implementation Rating
Microsoft
Not sure
Read full review
Tonkean Inc
No answers on this topic
Alternatives Considered
Microsoft
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.
Read full review
Tonkean Inc
No answers on this topic
Return on Investment
Microsoft
  • 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
Read full review
Tonkean Inc
No answers on this topic