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Compare Amazon SageMaker and Deepnote 
Featured Products
At a Glance
Market Segments
Enterprise (34.9% of reviews)
Small-Business (68.7% of reviews)
Entry-Level Pricing
No pricing available
Free 1 Editors Per Month
Amazon SageMaker
Star Rating
(48)4.2 out of 5
Market Segments
Enterprise (34.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerDeepnote
Star Rating
(378)4.5 out of 5
Market Segments
Small-Business (68.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 Editors Per Month
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Deepnote excels in user experience, particularly with its seamless integration of an AI Assistant within the notebook interface, making it easy for users to access tools directly. This feature enhances collaboration and simplifies coding without the need for complex environment setups.
- Users say that Amazon SageMaker provides robust support for the entire machine learning lifecycle, from data preparation to model deployment. Reviewers appreciate its comprehensive approach, noting that it allows them to manage all aspects of their projects in one platform, which can significantly streamline workflows.
- According to verified reviews, Deepnote stands out for its ease of use, with many users highlighting the intuitive notebook style and straightforward SQL to dataframes conversion. This user-friendly design is particularly beneficial for teams looking to collaborate on data projects without extensive technical barriers.
- Reviewers mention that while Amazon SageMaker has a strong focus on scalability and model training capabilities, some users find it challenging to navigate its more complex features. However, they do appreciate the platform's ability to deploy applications quickly and cost-effectively, which can be a significant advantage for small businesses.
- Users highlight that Deepnote's recent updates and features, such as native integrations with third-party services, enhance its functionality and make it a versatile tool for data analysis and collaboration. This adaptability is particularly appealing to small businesses that require flexible solutions.
- G2 reviewers note that while Amazon SageMaker has a higher score in areas like model training and natural language processing, Deepnote's overall satisfaction ratings are higher, indicating that users may find it more enjoyable and effective for day-to-day tasks, especially in collaborative environments.
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
38
8.6
344
Ease of Use
8.4
39
8.9
347
Ease of Setup
8.5
26
9.0
271
Ease of Admin
8.4
20
8.8
57
Quality of Support
8.6
34
8.7
234
Has the product been a good partner in doing business?
9.2
20
8.6
56
Product Direction (% positive)
9.1
37
9.4
339
Features by Category
Reports
Not enough data
8.0
176
Not enough data
7.7
173
Not enough data
7.5
179
Not enough data
7.4
167
Not enough data
7.6
170
Data Preparation
Not enough data
8.5
153
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
146
Generative AI
Not enough data
7.0
58
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
172
Not enough data
7.7
165
Not enough data
8.7
175
Not enough data
7.8
161
Deployment & Integration - Analytics Platforms
Not enough data
7.0
21
Not enough data
7.2
21
Not enough data
6.7
21
Not enough data
7.7
22
Advanced Analytics
Not enough data
7.7
162
Not enough data
8.1
173
Not enough data
7.8
151
Performance & Scalability - Analytics Platforms
Not enough data
6.8
25
Not enough data
7.1
21
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
7.3
20
Not enough data
7.8
21
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
150
Not enough data
8.3
149
Not enough data
7.7
146
Not enough data
8.0
148
Functionality
Not enough data
9.2
150
Not enough data
8.3
143
Not enough data
7.8
134
Not enough data
7.5
143
Not enough data
8.9
145
Not enough data
8.1
140
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
8.3
20
8.6
169
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
8.7
33
8.0
162
8.7
33
7.9
166
9.0
31
7.8
162
Generative AI
8.6
6
7.2
54
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
18
Not enough data
6.0
17
Not enough data
6.5
18
Not enough data
5.7
16
Not enough data
5.9
17
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
20.9%
Computer Software
16.3%
Marketing and Advertising
4.7%
Internet
4.7%
Hospital & Health Care
4.7%
Other
48.8%
Computer Software
17.5%
Higher Education
11.9%
Information Technology and Services
11.6%
Financial Services
8.6%
Research
4.0%
Other
46.4%
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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