Link copied to clipboard # AWS Cloud9 vs The Jupyter Notebook Comparison - What are their main differences? Share [ Export ](/compare/aws-cloud9/the-jupyter-notebook/export.csv) AWS Cloud9The Jupyter Notebook[+ Add Product](#) Reviews **AWS Cloud9** [ 4.3/5(369) ](https://www.g2.com/products/aws-cloud9/reviews#reviews) **The Jupyter Notebook** [ 4.6/5(255) ](https://www.g2.com/products/the-jupyter-notebook/reviews#reviews) Pricing **AWS Cloud9** No pricing available **The Jupyter Notebook** No pricing available **Pricing Insights** from reviews Time to Implement **AWS Cloud9** 3 months Based on 18 responses **The Jupyter Notebook** Not enough reviews yet Return on Investment **AWS Cloud9** 10 months Based on 16 responses **The Jupyter Notebook** Not enough reviews yet Perceived Cost **AWS Cloud9** $$$$$ **The Jupyter Notebook** $$$$$ Average Discount **AWS Cloud9** 12% **The Jupyter Notebook** Not enough reviews yet Pros & Cons **AWS Cloud9** [ Cloud-Based Solutions (46) ](https://www.g2.com/products/aws-cloud9/reviews?filters%5Bsentiment_snippet%5D=1910248&qs=pros-and-cons#reviews)[ Ease of Use (44) ](https://www.g2.com/products/aws-cloud9/reviews?filters%5Bsentiment_snippet%5D=1912072&qs=pros-and-cons#reviews)[ Slow Performance (36) ](https://www.g2.com/products/aws-cloud9/reviews?filters%5Bsentiment_snippet%5D=1910009&qs=pros-and-cons#reviews)[ Internet Connectivity (31) ](https://www.g2.com/products/aws-cloud9/reviews?filters%5Bsentiment_snippet%5D=1912356&qs=pros-and-cons#reviews) **The Jupyter Notebook** [ Data Visualization (6) ](https://www.g2.com/products/the-jupyter-notebook/reviews?filters%5Bsentiment_snippet%5D=1809920&qs=pros-and-cons#reviews)[ Ease of Use (6) ](https://www.g2.com/products/the-jupyter-notebook/reviews?filters%5Bsentiment_snippet%5D=1809736&qs=pros-and-cons#reviews)[ Complex Setup (2) ](https://www.g2.com/products/the-jupyter-notebook/reviews?filters%5Bsentiment_snippet%5D=2009150&qs=pros-and-cons#reviews)[ Difficult Management (2) ](https://www.g2.com/products/the-jupyter-notebook/reviews?filters%5Bsentiment_snippet%5D=1808983&qs=pros-and-cons#reviews) Integrations **AWS Cloud9** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_cacdec8b8edeace9b3c89e0c2cded695/amazon-ec2.jpg "Product Avatar Image") Amazon EC2 ](https://www.g2.com/products/amazon-ec2/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_cacdec8b8edeace9b3c89e0c2cded695/amazon-elastic-container-service-amazon-ecs.jpg "Product Avatar Image") Amazon Elastic Container... ](https://www.g2.com/products/amazon-elastic-container-service-amazon-ecs/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-redshift.jpg "Product Avatar Image") Amazon Redshift ](https://www.g2.com/products/amazon-redshift/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_cacdec8b8edeace9b3c89e0c2cded695/amazon-s3-glacier.jpg "Product Avatar Image") Amazon S3 Glacier ](https://www.g2.com/products/amazon-s3-glacier/reviews)[ View all ](https://www.g2.com/products/aws-cloud9/integrations) **The Jupyter Notebook** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_8ec3c17e3fb1df25b6a8bd7cc69cf2d1/github.png "Product Avatar Image") GitHub ](https://www.g2.com/products/github/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_9b4281475ce930d540e54037f8743756/google-colab-copilot.jpg "Product Avatar Image") Google Colab Copilot ](https://www.g2.com/products/google-colab-copilot/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_57dd97ecbc77b248c077fd49ed91e856/machine-learning-in-python.png "Product Avatar Image") machine-learning in Python ](https://www.g2.com/products/machine-learning-in-python/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_fdca573237a1adc307860f84fcd02a4c/pythonanywhere.png "Product Avatar Image") PythonAnywhere ](https://www.g2.com/products/pythonanywhere/reviews)[ View all ](https://www.g2.com/products/the-jupyter-notebook/integrations) Ratings Meets Requirements **AWS Cloud9** 8.7 8.7290 **The Jupyter Notebook** 8.9 8.9209 Ease of Use **AWS Cloud9** 8.7 8.7297 **The Jupyter Notebook** 9.1 9.1210 Ease of Setup **AWS Cloud9** 8.6 8.6171 **The Jupyter Notebook** 9.2 9.250 Ease of Admin **AWS Cloud9** 8.6 8.680 **The Jupyter Notebook** 8.7 8.729 Quality of Support **AWS Cloud9** 8.5 8.5277 **The Jupyter Notebook** 8.4 8.4174 Has the product been a good partner in doing business? **AWS Cloud9** 8.7 8.778 **The Jupyter Notebook** 9.4 9.423 Product Direction (% positive) **AWS Cloud9** 8.8 8.8269 **The Jupyter Notebook** 9.1 9.1197 Features Python Integrated Development Environments (IDE)[Hide 19 FeaturesShow 19 Features](javascript:void(0);) 8.3 141 8.3 172 AI Copilot AI Copilot Not enough data Not enough data Generative AI Generative AI Not enough data Not enough data For Developers For Developers Not enough data Not enough data Game Development Game Development Not enough data Not enough data Deployment Management Deployment Management Not enough data Not enough data Code Development Code Development Not enough data Not enough data Code Editing Code Editing Not enough data Not enough data Website Development Website Development Not enough data Not enough data Web/Mobile App Development Web/Mobile App Development Not enough data Not enough data Debugging Debugging Not enough data Not enough data Data Modeling Data Modeling Not enough data Not enough data Graphical User Interface Graphical User Interface Not enough data Not enough data Functionality Ease of Use 8.7 125 9.0(won by 0.3) 152 File Management 8.4(tied score) 121 8.4(tied score) 148 Multi-Language Support 8.3(won by 0.8) 114 (There is a greater than 0.5 difference between this product's rating and its competitors) 7.5 119 Customization 8.1(won by 0.2) 117 7.9 143 Straight-Out-the-Box Functionality 8.2 121 8.4(won by 0.2) 140 Help Guides 8.1 115 8.3(won by 0.2) 140 Patching & Updates 8.2 109 8.3(won by 0.1) 132 PHP Integrated Development Environments (IDE)[Hide 7 FeaturesShow 7 Features](javascript:void(0);) 8.3 80 Not enough data Functionality Ease of Use 8.4(won by default) 72 Not enough data File Management 8.4(won by default) 64 Not enough data Multi-Language Support 8.1(won by default) 62 Not enough data Customization 8.0(won by default) 63 Not enough data Straight-Out-the-Box Functionality 8.2(won by default) 58 Not enough data Help Guides 8.1(won by default) 60 Not enough data Patching & Updates 8.3(won by default) 59 Not enough data C/C++ Integrated Development Environments (IDE)[Hide 7 FeaturesShow 7 Features](javascript:void(0);) 8.4 59 Not enough data Functionality Ease of Use 8.7(won by default) 55 Not enough data File Management 8.3(won by default) 52 Not enough data Multi-Language Support 8.3(won by default) 51 Not enough data Customization 7.9(won by default) 51 Not enough data Straight-Out-the-Box Functionality 8.2(won by default) 51 Not enough data Help Guides 8.4(won by default) 51 Not enough data Patching & Updates 8.5(won by default) 49 Not enough data Show 1 feature category with incomplete data AWS Marketplace[Hide 3 FeaturesShow 3 Features](javascript:void(0);) Not enough data Not enough data Agentic AI - AWS Marketplace Autonomous Task Execution Not enough data Not enough data Multi-step Planning Not enough data Not enough data Cross-system Integration Not enough data Not enough data User Insights Reviewers' Company Size [![AWS Cloud9](https://images.g2crowd.com/uploads/product/hd_favicon/1528476507/aws-cloud9.svg "AWS Cloud9")](https://www.g2.com/products/aws-cloud9/reviews) AWS Cloud9 Small-Business(50 or fewer emp.) 44.0% Mid-Market(51-1000 emp.) 27.3% Enterprise(\> 1000 emp.) 28.7% [![The Jupyter Notebook](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0c886d6cb258ebba7d1b6670d08d4335/the-jupyter-notebook.png "The Jupyter Notebook")](https://www.g2.com/products/the-jupyter-notebook/reviews) The Jupyter Notebook Small-Business(50 or fewer emp.) 34.0% Mid-Market(51-1000 emp.) 28.6% Enterprise(\> 1000 emp.) 37.4% Small-Business (50 or fewer emp.) 44.0% 34.0% Mid-Market (51-1000 emp.) 27.3% 28.6% Enterprise (\> 1000 emp.) 28.7% 37.4% Reviewers' Industry [![AWS Cloud9](https://images.g2crowd.com/uploads/product/hd_favicon/1528476507/aws-cloud9.svg "AWS Cloud9")](https://www.g2.com/products/aws-cloud9/reviews) AWS Cloud9 Computer Software 28.7% Information Technology and Services 25.3% Financial Services 4.0% Automotive 2.8% Computer & Network Security 2.6% Other 36.6% [![The Jupyter Notebook](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0c886d6cb258ebba7d1b6670d08d4335/the-jupyter-notebook.png "The Jupyter Notebook")](https://www.g2.com/products/the-jupyter-notebook/reviews) The Jupyter Notebook Information Technology and Services 20.2% Computer Software 20.2% Higher Education 8.0% Education Management 6.7% Research 3.4% Other 41.6% FAQs ## AWS Cloud9 vs The Jupyter Notebook FAQs Generated using AI Last updated: August 14, 2026 ### What is the difference between AWS Cloud9 vs The Jupyter Notebook? AWS Cloud9 and The Jupyter Notebook differ most clearly in their primary use case focus, with AWS Cloud9 optimized for cloud-based development and AWS integrations, while The Jupyter Notebook excels in interactive data analysis and visualization. | [AWS Cloud9](https://www.g2.com/products/aws-cloud9/reviews) | [The Jupyter Notebook](https://www.g2.com/products/the-jupyter-notebook/reviews) | | --- | --- | | 4.3/5 (369 reviews) | 4.6/5 (254 reviews) | | Enterprise | Small-Business | | 8.6 | 9.2 | | 8.5 | 8.4 | | Cloud-Based Solutions (54 all-time mentions) | Ease of Use (7 all-time mentions) | ### How do the pricing models of AWS Cloud9 and The Jupyter Notebook compare? G2 reviewers rate The Jupyter Notebook as the stronger value, with a higher satisfaction score on price and cost-related dimensions. - **AWS Cloud9:** Reviewers frequently mention concerns about cost, with 21 all-time mentions of "Expensive" and additional feedback about unpredictable charges tied to underlying EC2 resources. - **The Jupyter Notebook:** Reviewers highlight its free and open-source nature, with recent reviews praising its zero-cost accessibility and suitability for students and startups. ### What are the best alternatives to AWS Cloud9 and The Jupyter Notebook? The top 3 alternatives to AWS Cloud9 and The Jupyter Notebook are Eclipse, Visual Studio, and PyCharm. | Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength | | --- | --- | --- | --- | --- | | [AWS Cloud9](https://www.g2.com/products/aws-cloud9/reviews) | 4.3/5 (369 reviews) | Enterprise | Reviewers cite cost concerns and value tied to AWS usage | Cloud-Based Solutions (54 all-time mentions) | | [The Jupyter Notebook](https://www.g2.com/products/the-jupyter-notebook/reviews) | 4.6/5 (254 reviews) | Small-Business | Free and open source, praised for zero-cost accessibility | Ease of Use (7 all-time mentions) | | [Eclipse](https://www.g2.com/products/eclipse/reviews) | 4.3/5 (3221 reviews) | Enterprise | — | Extensive plugin ecosystem and enterprise-grade features | | [Visual Studio](https://www.g2.com/products/visual-studio/reviews) | 4.5/5 (4004 reviews) | Small-Business | — | Comprehensive language support and robust debugging tools | | [PyCharm](https://www.g2.com/products/pycharm/reviews) | 4.6/5 (787 reviews) | Small-Business | — | Python-centric development and intelligent code assistance | ### Which Java Integrated Development Environments (IDE) features should I prioritize when comparing AWS Cloud9 and The Jupyter Notebook? Buyers comparing AWS Cloud9 and The Jupyter Notebook should prioritize cloud-based development, collaboration features, ease of setup, integration capabilities, and data visualization support. - **Cloud-Based Development:** AWS Cloud9 is cited for Cloud-Based Solutions in 54 all-time mentions; The Jupyter Notebook is primarily desktop or server-based with no cloud-native focus in reviewer themes. - **Collaboration Features:** AWS Cloud9 has 42 all-time mentions for Collaboration; The Jupyter Notebook receives recent praise for sharing and teamwork but lacks real-time co-editing. - **Ease of Setup:** AWS Cloud9 scores 8.6; The Jupyter Notebook scores 9.2. - **Integration Capabilities:** AWS Cloud9 is mentioned for Integrations in 27 all-time reviews, with specific mentions of Git and AWS services; The Jupyter Notebook is noted for GitHub integration in recent reviews. - **Data Visualization Support:** The Jupyter Notebook is cited for Data Visualization in 6 all-time mentions, making it a standout for analytics and reporting workflows. ### What are the pros and cons of AWS Cloud9 vs The Jupyter Notebook? AWS Cloud9's headline strength is its cloud-based development environment, while The Jupyter Notebook excels in ease of use and interactive data analysis. - **AWS Cloud9 strengths:** Cloud-Based Solutions (54 all-time mentions), Ease of Use (53), Cloud Services (48), Collaboration (42), Setup Ease (36), Integrations (27), Easy Setup (23), Deployment Ease (20), Git Integration (20). - **AWS Cloud9 trade-offs:** Slow Performance (38 all-time mentions), Internet Connectivity (31), Performance Issues (22), Connection Issues (21), Expensive (21), Limited Customization (19), Lagging Issues (17), Limited Features (17). - **The Jupyter Notebook strengths:** Ease of Use (7 all-time mentions), Data Visualization (6), Data Analysis (5), Useful (5), Performance (4), Code Editing (3), Flexibility (3), Python Support (3), Free Services (2), Interactivity (2). - **The Jupyter Notebook trade-offs:** File Management (3 all-time mentions), Large Data Management (3), Complex Setup (2), Difficult Management (2), Learning Curve (2), version control and debugging limitations cited in recent reviews. ### Is AWS Cloud9 or The Jupyter Notebook better for small businesses? The Jupyter Notebook is the better fit for small businesses, as it is most popular in the Small-Business segment and praised for its accessibility and ease of use. - **AWS Cloud9:** Largest segment is Enterprise; reviewers in smaller organizations mention value for AWS-centric teams but cite cost and performance as concerns. - **The Jupyter Notebook:** Largest segment is Small-Business; reviewers highlight its free, open-source nature and suitability for rapid prototyping and data analysis in small teams. ### Which Java Integrated Development Environments (IDE) platform has better integrations? AWS Cloud9 is favored for integrations, with more reviewer-cited integration mentions and broader AWS ecosystem connectivity. - **AWS Cloud9:** Git (23 all-time mentions), GitHub (9), Amazon EC2 (7); reviewers highlight strong AWS service integration and built-in Git support. - **The Jupyter Notebook:** GitHub (5); reviewers mention GitHub integration and compatibility with Python libraries, but fewer integration mentions overall. ### How do AWS Cloud9 and The Jupyter Notebook compare on customer support? AWS Cloud9 and The Jupyter Notebook are rated at near-parity on Quality of Support, with AWS Cloud9 at 8.5 and The Jupyter Notebook at 8.4. - **AWS Cloud9:** Reviewers describe support as generally responsive, with several citing helpful documentation and AWS community resources, though some mention complexity in AWS permissions and setup. - **The Jupyter Notebook:** Reviewers note strong community support and extensive documentation, with recent reviews highlighting ease of finding solutions and active user forums. ### Which is easier to implement, AWS Cloud9 or The Jupyter Notebook? The Jupyter Notebook is rated higher for Ease of Setup, scoring 9.2 versus AWS Cloud9's 8.6, a difference of 0.6 points. - **AWS Cloud9:** Reviewers appreciate the zero local setup and browser-based access, but note that AWS permissions and environment configuration can be confusing for beginners. - **The Jupyter Notebook:** Reviewers consistently praise its beginner-friendly setup, straightforward installation, and immediate usability for data science and prototyping tasks. 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