Compare Amazon SageMaker and IBM Watson Studio
See this
side-by-side comparison of Amazon SageMaker vs. IBM Watson Studio
based on preference data from user reviews. Amazon SageMaker rates 4.2/5 stars with 21 reviews. By contrast, IBM Watson Studio rates 4.1/5 stars with 85 reviews. Each product's score is calculated with real-time data from verified user reviews, to help you make the best choice between these two options, and decide which one is best for your business needs.
 Amazon SageMaker |  IBM Watson Studio Optimized for quick response | |
| Star Rating | Amazon SageMaker | IBM Watson Studio |
| Market Segments | Amazon SageMaker Small-Business (36.8% of reviews) | IBM Watson Studio Enterprise (58.0% of reviews) |
| Entry Level Price | Amazon SageMaker No pricing information available | IBM Watson Studio No pricing information available |
Amazon SageMaker vs IBM Watson Studio
When assessing the two solutions, reviewers found Amazon SageMaker easier to use, set up, and administer. Reviewers also preferred doing business with Amazon SageMaker overall.
- Reviewers felt that Amazon SageMaker meets the needs of their business better than IBM Watson Studio.
- When comparing quality of ongoing product support, reviewers felt that Amazon SageMaker is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM Watson Studio over Amazon SageMaker.
Categories
Shared Categories
Amazon SageMaker and IBM Watson Studio are categorized as Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker has no unique categories
Pricing
Free Trial Unavailable
Free Trial
Ratings
Meets Requirements
Amazon SageMaker
Responses: 18
IBM Watson Studio
Responses: 61
Ease of Use
Amazon SageMaker
Responses: 18
IBM Watson Studio
Responses: 62
Ease of Setup
Amazon SageMaker
Responses: 13
IBM Watson Studio
Responses: 56
Ease of Admin
Amazon SageMaker
Responses: 13
IBM Watson Studio
Responses: 55
Quality of Support
Amazon SageMaker
Responses: 15
IBM Watson Studio
Responses: 60
Ease of Doing Business With
Amazon SageMaker
Responses: 13
IBM Watson Studio
Responses: 53
Product Direction (% positive)
Amazon SageMaker
Responses: 17
IBM Watson Studio
Responses: 56
Features
System
Data Ingestion & Wrangling
Amazon SageMaker
Responses: 5
IBM Watson Studio
Language Support
Amazon SageMaker
Responses: 5
IBM Watson Studio
Drag and Drop
Amazon SageMaker
IBM Watson Studio
Model Development
Language Support
Amazon SageMaker
Responses: 15
IBM Watson Studio
Responses: 22
Drag and Drop
Amazon SageMaker
Responses: 13
IBM Watson Studio
Responses: 23
Pre-Built Algorithms
Amazon SageMaker
Responses: 17
IBM Watson Studio
Responses: 24
Model Training
Amazon SageMaker
Responses: 17
IBM Watson Studio
Responses: 25
Model Development
Pre-Built Algorithms
Amazon SageMaker
Responses: 5
IBM Watson Studio
Model Training
Amazon SageMaker
Responses: 5
IBM Watson Studio
Feature Engineering
Amazon SageMaker
Responses: 5
IBM Watson Studio
Machine/Deep Learning Services
Computer Vision
Amazon SageMaker
Responses: 12
IBM Watson Studio
Responses: 18
Natural Language Processing
Amazon SageMaker
Responses: 14
IBM Watson Studio
Responses: 24
Natural Language Generation
Amazon SageMaker
Responses: 12
IBM Watson Studio
Artificial Neural Networks
Amazon SageMaker
Responses: 14
IBM Watson Studio
Responses: 19
Machine/Deep Learning Services
Computer Vision
Amazon SageMaker
IBM Watson Studio
Natural Language Understanding
Amazon SageMaker
Responses: 5
IBM Watson Studio
Natural Language Generation
Amazon SageMaker
Responses: 5
IBM Watson Studio
Deep Learning
Amazon SageMaker
Responses: 5
IBM Watson Studio
Deployment
Managed Service
Amazon SageMaker
Responses: 16
IBM Watson Studio
Responses: 21
Application
Amazon SageMaker
Responses: 16
IBM Watson Studio
Responses: 22
Scalability
Amazon SageMaker
Responses: 15
IBM Watson Studio
Responses: 21
Deployment
Managed Service
Amazon SageMaker
Responses: 5
IBM Watson Studio
Application
Amazon SageMaker
Responses: 5
IBM Watson Studio
Scalability
Amazon SageMaker
Responses: 5
IBM Watson Studio
Reviewers' Company Size
Reviewers of Amazon SageMaker were most often representing companies in the Small-Business segment, while reviewers for IBM Watson Studio were more commonly in the Enterprise segment.
Small-Business
(50 or fewer emp.)
Amazon SageMaker
IBM Watson Studio
Mid-Market
(51-1000 emp.)
Amazon SageMaker
IBM Watson Studio
Enterprise
(> 1000 emp.)
Amazon SageMaker
IBM Watson Studio
Reviewers' Industry
Computer Software
21.1%
Internet
10.5%
Information Technology and Services
10.5%
Higher Education
10.5%
Sporting Goods
5.3%
Other
42.1%
Information Technology and Services
14.8%
Telecommunications
8.6%
Education Management
7.4%
Computer Software
7.4%
Banking
7.4%
Other
54.3%
Reviews
Most Helpful Favorable Review
Anil Sai B.
G2 User in Farming
I love AWS services and this one is no different. We are very much in the AWS world so deploying models using Sagemaker is seamless. The ease of building and training models is definitely a plus.
Industry Analyst / Tech Writer in Banking
Python Notebook which I am using to code python scripts
Most Helpful Critical Review
User in Information Services
It restricts the way I am willing to do my work.
G2 User in Education Management
Need more training support and illustrative examples
Top Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 comment
VS
https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/Read more
How do i make this platform reach to most of my developers?
1 comment
JM
you can manage the access via IAM users and roles and give them access as per their need, Sagemaker by default has all the basic AWS feature and you can...Read more
Amazon SageMaker has no more discussions with answers
IBM Watson Studio has no discussions with answers
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