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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Small-Business (68.7% of reviews)
Entry-Level Pricing
No pricing available
Free 1 Editors Per Month
Amazon SageMaker
Star Rating
(45)4.3 out of 5
Market Segments
Small-Business (33.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerDeepnote
Star Rating
(355)4.5 out of 5
Market Segments
Small-Business (68.7% of reviews)
Entry-Level Pricing
Free 1 Editors Per Month
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon SageMaker excels in scalability, with a score of 9.7, making it a preferred choice for businesses looking to handle large datasets and complex models. In contrast, Deepnote's scalability score of 7.8 indicates it may not be as robust for high-demand applications.
- Reviewers mention that Amazon SageMaker offers superior model training capabilities, scoring 8.9 compared to Deepnote's 7.1. Users appreciate SageMaker's pre-built algorithms and comprehensive model development tools, which streamline the machine learning process.
- G2 users highlight that Deepnote shines in ease of use, with a score of 9.0, making it more accessible for teams without extensive technical expertise. In comparison, Amazon SageMaker's ease of use score of 8.4 suggests a steeper learning curve for new users.
- Reviewers say that Amazon SageMaker provides a more extensive range of machine/deep learning services, particularly in areas like computer vision and natural language processing, where it scores 9.2 and 9.0 respectively. Deepnote, however, falls short in these areas, with scores of 6.2 and 7.0.
- Users on G2 report that Deepnote's collaboration features are highly rated, with a score of 8.7, allowing teams to work together seamlessly on data projects. In contrast, Amazon SageMaker's collaboration capabilities are less emphasized, which may hinder team dynamics.
- Reviewers mention that Amazon SageMaker's managed service aspect is rated highly at 9.5, indicating strong support for deployment and maintenance. Deepnote's managed service score of 7.9 suggests it may require more hands-on management from users.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableDeepnote
Free
Free
1 Editors Per Month
- Up to 3 editors
- Up to 5 projects
- Unlimited Basic machines with 5GB RAM, 2vCPU
Free Trial
Amazon SageMaker
No trial information availableDeepnote
Free Trial is available
Ratings
Meets Requirements
8.6
37
8.7
321
Ease of Use
8.4
38
8.9
324
Ease of Setup
8.5
25
9.0
253
Ease of Admin
8.4
20
8.8
53
Quality of Support
8.6
33
8.7
222
Has the product been a good partner in doing business?
9.2
20
8.6
53
Product Direction (% positive)
9.0
36
9.4
316
Features by Category
Reports
Not enough data
8.0
173
Not enough data
7.7
173
Not enough data
7.6
178
Not enough data
7.4
167
Not enough data
7.6
168
Data Preparation
Not enough data
8.5
150
Not enough data
7.6
142
Data Modeling and Blending
Not enough data
8.5
152
Not enough data
8.3
149
Not enough data
8.4
145
Generative AI
Not enough data
6.9
57
Not enough data
6.8
55
Agentic AI - Analytics Platforms
Not enough data
6.5
23
Not enough data
6.3
23
Not enough data
7.1
23
Not enough data
6.2
23
Not enough data
7.0
22
Not enough data
6.3
22
Not enough data
6.8
23
Self Service
Not enough data
8.2
163
Not enough data
8.4
169
Not enough data
8.3
169
Not enough data
7.7
165
Not enough data
8.6
170
Not enough data
7.8
160
Deployment & Integration - Analytics Platforms
Not enough data
7.0
21
Not enough data
7.2
21
Not enough data
7.0
20
Not enough data
7.5
21
Advanced Analytics
Not enough data
7.7
162
Not enough data
8.1
169
Not enough data
7.8
151
Performance & Scalability - Analytics Platforms
Not enough data
6.9
21
Not enough data
7.1
21
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
7.3
20
Not enough data
7.8
20
Not enough data
7.3
20
Agentic AI Capabilities - Analytics Platforms
Not enough data
7.1
20
Not enough data
7.4
20
Not enough data
7.3
19
Not enough data
6.9
19
Personalized Intelligence - Analytics Platforms
Not enough data
7.0
19
Not enough data
7.0
20
Not enough data
7.3
20
Building Reports
Not enough data
8.2
149
Not enough data
8.3
148
Not enough data
7.7
145
Not enough data
8.0
148
Functionality
Not enough data
9.2
143
Not enough data
8.3
142
Not enough data
7.8
130
Not enough data
7.5
139
Not enough data
8.9
140
Not enough data
8.1
138
Not enough data
8.4
133
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.2
19
8.6
167
Model Development
8.7
29
8.3
168
8.2
28
Feature Not Available
8.3
33
7.4
166
8.9
33
7.2
171
Model Development
8.4
19
7.6
156
Machine/Deep Learning Services
8.9
26
6.5
160
9.1
28
7.1
160
8.9
25
6.9
154
9.0
28
7.0
157
Machine/Deep Learning Services
9.2
17
7.2
147
9.2
18
7.5
149
Deployment
8.6
32
8.0
160
8.6
32
8.0
165
9.0
31
7.8
161
Generative AI
8.6
6
7.3
53
9.2
6
7.0
52
8.3
5
6.3
51
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
5.5
16
Not enough data
6.0
16
Not enough data
6.0
16
Not enough data
5.7
16
Not enough data
5.8
16
Not enough data
5.7
16
Not enough data
7.0
16
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon SageMaker and Deepnote are categorized as Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as MLOps Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Deepnote is categorized as Python Integrated Development Environments (IDE) and Analytics Platforms
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Deepnote
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
Computer Software
17.2%
Higher Education
12.4%
Information Technology and Services
11.5%
Financial Services
8.0%
Research
4.0%
Other
46.8%
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 Comment
VJ
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
VJ
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
Deepnote has no more discussions with answers
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