# Amazon SageMaker vs Deepnote Comparison
---
## AI Generated Summary
- **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&#39;s ability to deploy applications quickly and cost-effectively, which can be a significant advantage for small businesses.
- **Users highlight** that Deepnote&#39;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&#39;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.



| | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Star Rating** | 4.3 out of 5 | 4.5 out of 5 | 
| **Total Reviews** | 56 | 382 | 
| **Largest Market Segment** | Mid-Market (36.0% of reviews) | Small-Business (68.4% of reviews) | 
| **Entry Level Price** | No pricing available | Free 1 Editors Per Month | 

---
## Top Pros & Cons

### Amazon SageMaker

Pros:
- Ease of Use (3 reviews)
- AI Integration (2 reviews)

Cons:
- Expensive (3 reviews)
- Complexity (2 reviews)

### Deepnote

Pros:
- Ease of Use (117 reviews)
- Collaboration (93 reviews)

Cons:
- Slow Performance (47 reviews)
- Limited Features (21 reviews)

---
## Ratings Comparison
| Rating | Amazon SageMaker | Deepnote | 
|---|---|---|
  | **Meets Requirements** | 8.7 (45 reviews) | 8.6 (347 reviews) | 
  | **Ease of Use** | 8.3 (46 reviews) | 8.9 (350 reviews) | 
  | **Ease of Setup** | 8.4 (33 reviews) | 9.0 (274 reviews) | 
  | **Ease of Admin** | 8.4 (20 reviews) | 8.8 (57 reviews) | 
  | **Quality of Support** | 8.6 (40 reviews) | 8.7 (237 reviews) | 
  | **Has the product been a good partner in doing business?** | 9.2 (20 reviews) | 8.6 (56 reviews) | 
  | **Product Direction (% positive)** | 8.9 (42 reviews) | 9.4 (341 reviews) | 

---
## Pricing

### Amazon SageMaker

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

### Deepnote

#### Entry-Level Pricing

Plan: Free

Price: Free 1 Editors Per Month

Key Features:
- Up to 3 editors
- Up to 5 projects
- Unlimited Basic machines with 5GB RAM, 2vCPU

[Browse all 3 editions](https://www.g2.com/products/deepnote/pricing)

#### Free Trial

Yes

---
## Features Comparison By Category

### Analytics Platforms

| Product | Score | Reviews |
|---|---|---|
| **Amazon SageMaker** | N/A | N/A |
| **Deepnote** | 7.5/10 | 195 |

#### Reports

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Reports Interface** | Not enough data | 8.0 (176 reviews) | 
| **Steps to Answer** | Not enough data | 7.7 (173 reviews) | 
| **Graphs and Charts** | Not enough data | 7.5 (180 reviews) | 
| **Score Cards** | Not enough data | 7.4 (167 reviews) | 
| **Dashboards** | Not enough data | 7.6 (171 reviews) | 

#### Data Preparation

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Connectors** | Not enough data | 8.5 (153 reviews) | 
| **Data Governance** | Not enough data | 7.6 (142 reviews) | 

#### Data Modeling and Blending

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Data Querying** | Not enough data | 8.5 (152 reviews) | 
| **Data Filtering** | Not enough data | 8.3 (149 reviews) | 
| **Data Blending** | Not enough data | 8.4 (146 reviews) | 

#### Generative AI

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **AI Text Generation** | Not enough data | 7.0 (58 reviews) | 
| **AI Text Summarization** | Not enough data | 6.8 (55 reviews) | 

#### Agentic AI - Analytics Platforms

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | 6.5 (23 reviews) | 
| **Multi-step Planning** | Not enough data | 6.3 (23 reviews) | 
| **Cross-system Integration** | Not enough data | 7.1 (23 reviews) | 
| **Adaptive Learning** | Not enough data | 6.2 (23 reviews) | 
| **Natural Language Interaction** | Not enough data | 7.0 (22 reviews) | 
| **Proactive Assistance** | Not enough data | 6.3 (22 reviews) | 
| **Decision Making** | Not enough data | 6.8 (23 reviews) | 

#### Self Service 

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Calculated Fields** | Not enough data | 8.2 (163 reviews) | 
| **Data Column Filtering** | Not enough data | 8.4 (169 reviews) | 
| **Data Discovery** | Not enough data | 8.3 (172 reviews) | 
| **Search** | Not enough data | 7.7 (165 reviews) | 
| **Collaboration / Workflow** | Not enough data | 8.7 (175 reviews) | 
| **Automodeling** | Not enough data | 7.8 (161 reviews) | 

#### Deployment &amp; Integration - Analytics Platforms

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **No-code Dashboard Builder** | Not enough data | 7.0 (21 reviews) | 
| **Report Scheduling and Automation** | Not enough data | 7.2 (21 reviews) | 
| **Embedded Analytics and White-labeling** | Not enough data | 6.7 (21 reviews) | 
| **Data Source Connectivity** | Not enough data | 7.7 (22 reviews) | 

#### Advanced Analytics

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Predictive Analytics** | Not enough data | 7.7 (162 reviews) | 
| **Data Visualization** | Not enough data | 8.1 (173 reviews) | 
| **Big Data Services** | Not enough data | 7.8 (151 reviews) | 

#### Performance &amp; Scalability - Analytics Platforms

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Large data handling and Query Speed** | Not enough data | 6.8 (25 reviews) | 
| **Concurrent User Support** | Not enough data | 7.1 (21 reviews) | 

#### Advanced Analytics &amp; Modeling - Analytics Platforms

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Data Modeling and Governance** | Not enough data | 7.3 (20 reviews) | 
| **Notebook and Script Integration** | Not enough data | 7.8 (21 reviews) | 
| **Built-in Predictive and Statistical Models** | Not enough data | 7.3 (20 reviews) | 

#### Agentic AI Capabilities - Analytics Platforms

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Auto-generated Insights and Narratives** | Not enough data | 7.1 (20 reviews) | 
| **Natural Language Queries** | Not enough data | 7.4 (20 reviews) | 
| **Proactive KPI Monitoring and Alerts** | Not enough data | 7.3 (19 reviews) | 
| **AI Agents for Analytical Follow-ups** | Not enough data | 6.9 (19 reviews) | 

#### Personalized Intelligence - Analytics Platforms

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Behavioral Learning for Contextual Query Refinement** | Not enough data | 7.0 (19 reviews) | 
| **Role-based Insight Personalization** | Not enough data | 7.0 (20 reviews) | 
| **Conversational and Prompt-based Analytics** | Not enough data | 7.3 (20 reviews) | 

#### Building Reports

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Data Transformation** | Not enough data | 8.2 (150 reviews) | 
| **Data Modeling** | Not enough data | 8.3 (149 reviews) | 
| **WYSIWYG Report Design** | Not enough data | 7.7 (146 reviews) | 
| **Integration APIs** | Not enough data | 8.0 (148 reviews) | 

### Python Integrated Development Environments (IDE)

| Product | Score | Reviews |
|---|---|---|
| **Amazon SageMaker** | N/A | N/A |
| **Deepnote** | 8.3/10 | 163 |

#### Functionality 

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Ease of Use** | Not enough data | 9.2 (152 reviews) | 
| **File Management** | Not enough data | 8.3 (144 reviews) | 
| **Multi-Language Support** | Not enough data | 7.8 (134 reviews) | 
| **Customization** | Not enough data | 7.5 (143 reviews) | 
| **Straight-Out-the-Box Functionality** | Not enough data | 8.9 (145 reviews) | 
| **Help Guides** | Not enough data | 8.1 (141 reviews) | 
| **Patching &amp; Updates** | Not enough data | 8.4 (133 reviews) | 

### MLOps Platforms

| Product | Score | Reviews |
|---|---|---|
| **Amazon SageMaker** | 10.0/10 | 6 |
| **Deepnote** | N/A | N/A |

#### Deployment

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Language Flexibility** | Not enough data | Not enough data | 
| **Framework Flexibility** | Not enough data | Not enough data | 
| **Versioning** | Not enough data | Not enough data | 
| **Ease of Deployment** | 10.0 (5 reviews) | Not enough data | 
| **Scalability** | Not enough data | Not enough data | 

#### Deployment

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Language Flexibility** | Not enough data | Not enough data | 
| **Framework Flexibility** | Not enough data | Not enough data | 
| **Versioning** | Not enough data | Not enough data | 
| **Ease of Deployment** | Not enough data | Not enough data | 
| **Scalability** | Not enough data | Not enough data | 

#### Management

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Cataloging** | Not enough data | Not enough data | 
| **Monitoring** | Not enough data | Not enough data | 
| **Governing** | Not enough data | Not enough data | 
| **Model Registry** | Not enough data | Not enough data | 

#### Operations

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Metrics** | Not enough data | Not enough data | 
| **Infrastructure management** | Not enough data | Not enough data | 
| **Collaboration** | Not enough data | Not enough data | 

#### Management

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Cataloging** | Not enough data | Not enough data | 
| **Monitoring** | Not enough data | Not enough data | 
| **Governing** | Not enough data | Not enough data | 

#### Generative AI

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **AI Text Generation** | Not enough data | Not enough data | 
| **AI Text Summarization** | Not enough data | Not enough data | 

### Data Science and Machine Learning Platforms

| Product | Score | Reviews |
|---|---|---|
| **Amazon SageMaker** | 8.9/10 | 45 |
| **Deepnote** | 7.0/10 | 193 |

#### System

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Data Ingestion &amp; Wrangling** | 8.6 (23 reviews) | 8.6 (169 reviews) | 

#### Model Development

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Language Support** | 8.8 (31 reviews) | 8.3 (168 reviews) | 
| **Drag and Drop** | 8.3 (29 reviews) | Feature Not Available | 
| **Pre-Built Algorithms** | 8.3 (34 reviews) | 7.4 (166 reviews) | 
| **Model Training** | 9.0 (35 reviews) | 7.2 (171 reviews) | 

#### Model Development

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Feature Engineering** | 8.5 (20 reviews) | 7.6 (156 reviews) | 

#### Machine/Deep Learning Services

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Computer Vision** | 9.0 (27 reviews) | 6.5 (160 reviews) | 
| **Natural Language Processing** | 9.1 (29 reviews) | 7.1 (160 reviews) | 
| **Natural Language Generation** | 9.0 (26 reviews) | 6.9 (154 reviews) | 
| **Artificial Neural Networks** | 9.0 (29 reviews) | 7.0 (157 reviews) | 

#### Machine/Deep Learning Services

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Natural Language Understanding** | 9.3 (18 reviews) | 7.2 (147 reviews) | 
| **Deep Learning** | 9.2 (19 reviews) | 7.5 (149 reviews) | 

#### Deployment

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Managed Service** | 8.9 (38 reviews) | 8.0 (162 reviews) | 
| **Application** | 8.8 (36 reviews) | 7.9 (166 reviews) | 
| **Scalability** | 9.0 (36 reviews) | 7.8 (162 reviews) | 

#### Generative AI

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **AI Text Generation** | 8.6 (7 reviews) | 7.2 (54 reviews) | 
| **AI Text Summarization** | 9.3 (7 reviews) | 7.0 (52 reviews) | 
| **AI Text-to-Image** | 8.6 (6 reviews) | 6.3 (51 reviews) | 

#### Agentic AI - Data Science and Machine Learning Platforms

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | 5.5 (18 reviews) | 
| **Multi-step Planning** | Not enough data | 6.0 (17 reviews) | 
| **Cross-system Integration** | 9.3 (7 reviews) | 6.5 (18 reviews) | 
| **Adaptive Learning** | Not enough data | 5.7 (16 reviews) | 
| **Natural Language Interaction** | Not enough data | 5.9 (17 reviews) | 
| **Proactive Assistance** | Not enough data | 5.7 (16 reviews) | 
| **Decision Making** | Not enough data | 7.0 (16 reviews) | 

### Generative AI Infrastructure

| Product | Score | Reviews |
|---|---|---|
| **Amazon SageMaker** | N/A | N/A |
| **Deepnote** | N/A | N/A |

#### Scalability and Performance - Generative AI Infrastructure

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **AI High Availability** | Not enough data | Not enough data | 
| **AI Model Training Scalability** | Not enough data | Not enough data | 
| **AI Inference Speed** | Not enough data | Not enough data | 

#### Cost and Efficiency - Generative AI Infrastructure

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **AI Cost per API Call** | Not enough data | Not enough data | 
| **AI Resource Allocation Flexibility** | Not enough data | Not enough data | 
| **AI Energy Efficiency** | Not enough data | Not enough data | 

#### Integration and Extensibility - Generative AI Infrastructure

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **AI Multi-cloud Support** | Not enough data | Not enough data | 
| **AI Data Pipeline Integration** | Not enough data | Not enough data | 
| **AI API Support and Flexibility** | Not enough data | Not enough data | 

#### Security and Compliance - Generative AI Infrastructure

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **AI GDPR and Regulatory Compliance** | Not enough data | Not enough data | 
| **AI Role-based Access Control** | Not enough data | Not enough data | 
| **AI Data Encryption** | Not enough data | Not enough data | 

#### Usability and Support - Generative AI Infrastructure

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **AI Documentation Quality** | Not enough data | Not enough data | 
| **AI Community Activity** | Not enough data | Not enough data | 

### Low-Code Machine Learning Platforms

| Product | Score | Reviews |
|---|---|---|
| **Amazon SageMaker** | N/A | N/A |
| **Deepnote** | N/A | N/A |

#### Data Ingestion &amp; Preparation - Low-Code Machine Learning Platforms

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Automatic Data Profiling &amp; Quality Assessment** | Not enough data | Not enough data | 
| **Multi‑Source Connector Support** | Not enough data | Not enough data | 
| **Schema Drift / Change Detection** | Not enough data | Not enough data | 

#### Model Construction &amp; Automation - Low-Code Machine Learning Platforms

| Feature | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Guided Algorithm &amp; Hyperparameter Recommendation** | Not enough data | Not enough data | 
| **Code Extensibility** | Not enough data | Not enough data | 
| **Automated Feature Engineering** | Not enough data | Not enough data | 

---
## Categories
**Shared Categories (1):** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Unique to Amazon SageMaker (3):** [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure), [ Low-Code Machine Learning Platforms Software](https://www.g2.com/categories/low-code-machine-learning-platforms)

**Unique to Deepnote (2):** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms), [Python Integrated Development Environments (IDE)](https://www.g2.com/categories/python-integrated-development-environments-ide)


---
## Reviewer Demographics

### By Company Size

| Segment | Amazon SageMaker | Deepnote | 
|---|---|---|
| **Small-Business** | 30.0% | 68.4% | 
| **Mid-Market** | 36.0% | 24.3% | 
| **Enterprise** | 34.0% | 7.2% | 

### By Industry

#### Amazon SageMaker

- **Information Technology and Services:** 22.0%
- **Computer Software:** 14.0%
- **Internet:** 6.0%
- **Hospital &amp; Health Care:** 6.0%
- **Computer &amp; Network Security:** 4.0%
- **Marketing and Advertising:** 4.0%
- **Education Management:** 4.0%
- **Higher Education:** 4.0%
- **Financial Services:** 4.0%
- **Banking:** 2.0%
- **Other:** 30.0%

#### Deepnote

- **Computer Software:** 17.6%
- **Higher Education:** 11.8%
- **Information Technology and Services:** 11.5%
- **Financial Services:** 8.6%
- **Research:** 4.0%
- **Retail:** 3.5%
- **Marketing and Advertising:** 3.5%
- **E-Learning:** 2.4%
- **Consulting:** 1.6%
- **Environmental Services:** 1.6%
- **Other:** 34.0%

---
## Alternatives

### Alternatives to Amazon SageMaker

- [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) — 4.3/5 stars (659 reviews)
- [Dataiku](https://www.g2.com/products/dataiku/reviews) — 4.4/5 stars (217 reviews)
- [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) — 4.3/5 stars (90 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (860 reviews)
- [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews) — 4.2/5 stars (167 reviews)
- [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) — 4.6/5 stars (520 reviews)
- [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (1335 reviews)
- [DataRobot](https://www.g2.com/products/datarobot/reviews) — 4.4/5 stars (28 reviews)
- [H2O](https://www.g2.com/products/h2o/reviews) — 4.5/5 stars (24 reviews)
- [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) — 4.1/5 stars (22 reviews)

### Alternatives to Deepnote

- [Hex](https://www.g2.com/products/hex-tech-hex/reviews) — 4.5/5 stars (400 reviews)
- [Looker](https://www.g2.com/products/looker/reviews) — 4.4/5 stars (1646 reviews)
- [PyCharm](https://www.g2.com/products/pycharm/reviews) — 4.6/5 stars (784 reviews)
- [Tableau](https://www.g2.com/products/tableau/reviews) — 4.4/5 stars (3715 reviews)
- [Databricks](https://www.g2.com/products/databricks/reviews) — 4.6/5 stars (1335 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (860 reviews)
- [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) — 4.5/5 stars (1643 reviews)
- [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) — 4.4/5 stars (558 reviews)
- [AWS Cloud9](https://www.g2.com/products/aws-cloud9/reviews) — 4.3/5 stars (351 reviews)
- [Posit Team](https://www.g2.com/products/posit-team/reviews) — 4.5/5 stars (572 reviews)

---
## Top Discussions

### Amazon SageMaker

- Title: [What is the best way to integrate Sagemaker models with Kubernetes?](https://www.g2.com/discussions/28784-what-is-the-best-way-to-integrate-sagemaker-models-with-kubernetes) — 1 comment
  > **Top comment:** "https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/"
- Title: [How do i make this platform reach to most of my developers?](https://www.g2.com/discussions/27976-how-do-i-make-this-platform-reach-to-most-of-my-developers) — 1 comment
  > **Top comment:** "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..."

### Deepnote

- Title: [Is Deepnote good?](https://www.g2.com/discussions/is-deepnote-good) — 1 comment
  > **Top comment:** "Yes"
- Title: [Is Deepnote better than Colab?](https://www.g2.com/discussions/is-deepnote-better-than-colab) — 1 comment
  > **Top comment:** "yeah, especially if you use SQL much better"

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/amazon-sagemaker-vs-deepnote)

