What users are saying about
34 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.2 out of 100
26 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.1 out of 100

Attribute Ratings

  • Amazon SageMaker is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

9.3

Amazon SageMaker

93%
6 Ratings
7.9

Azure Machine Learning

79%
4 Ratings

Likelihood to Renew

Amazon SageMaker

N/A
0 Ratings
7.0

Azure Machine Learning

70%
1 Rating

Usability

Amazon SageMaker

N/A
0 Ratings
7.0

Azure Machine Learning

70%
2 Ratings

Support Rating

Amazon SageMaker

N/A
0 Ratings
7.8

Azure Machine Learning

78%
3 Ratings

Implementation Rating

Amazon SageMaker

N/A
0 Ratings
8.0

Azure Machine Learning

80%
1 Rating

Likelihood to Recommend

Amazon SageMaker

Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
Thomas Young | TrustRadius Reviewer

Azure Machine Learning

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

Pros

Amazon SageMaker

  • Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
  • Customization and easy to alter and change.
  • If you already are an Amazon user, you do not need to transition over to another software.
Anonymous | TrustRadius Reviewer

Azure Machine Learning

  • 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

Cons

Amazon SageMaker

  • The UI can be eased up a bit for use by business analysts and non technical users
  • For huge amount of data pull from legacy solutions, the platform lags a bit
  • Considering ML is an emerging topic and would be used by most of the organizations in future, the pipeline integrations can be optimized
Anonymous | TrustRadius Reviewer

Azure Machine Learning

  • 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

Pricing Details

Amazon SageMaker

General

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

Starting Price

Amazon SageMaker Editions & Modules

Additional Pricing Details

Azure Machine Learning

General

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

Starting Price

$0 per month

Azure Machine Learning 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

Usability

Amazon SageMaker

No score
No answers yet
No answers on this topic

Azure Machine Learning

Azure Machine Learning 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

Support Rating

Amazon SageMaker

No score
No answers yet
No answers on this topic

Azure Machine Learning

Azure Machine Learning 7.8
Based on 3 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

Implementation Rating

Amazon SageMaker

No score
No answers yet
No answers on this topic

Azure Machine Learning

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

Alternatives Considered

Amazon SageMaker

Amazon SageMaker comes with other supportive services like S3, SQS, and a vast variety of servers on EC2. It's very comfortable to manage the process and also support the end application by one click hosting option. Also, it charges on the base of what you use and how long you use it, so it becomes less costly compared to others.
Anonymous | TrustRadius Reviewer

Azure Machine Learning

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

Return on Investment

Amazon SageMaker

  • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
  • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
  • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
Gavin Hackeling | TrustRadius Reviewer

Azure Machine Learning

  • 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

Add comparison