G2 reviewers report that AWS Cloud9 excels in providing a seamless development experience, with users appreciating its real-time collaboration features and integration with AWS services like Lambda and EC2. This makes it particularly beneficial for backend developers who need quick access to cloud resources.
Users say that The Jupyter Notebook offers a clean interface that is well-suited for Python programming and machine learning tasks. Reviewers highlight its ability to display outputs for each line of code, which enhances the learning and debugging process.
According to verified reviews, AWS Cloud9 has a higher overall satisfaction score, indicating that users find it more reliable for their development needs. The platform's browser-based IDE eliminates local setup issues, which is a common pain point for many developers.
Reviewers mention that The Jupyter Notebook shines in its cell editing tools and the ability to undo changes, making it user-friendly for those who frequently experiment with code. This feature is particularly appreciated by data scientists and educators.
G2 reviewers highlight that while AWS Cloud9 has a strong focus on integration and collaboration, it may not be as intuitive for users who are new to cloud-based development environments. Some users have noted a learning curve when first using the platform.
Users report that both platforms have their strengths, but AWS Cloud9's higher number of recent reviews suggests a more active user base, which can be indicative of ongoing improvements and support. In contrast, The Jupyter Notebook, while popular, has fewer recent reviews, which may reflect a more stable but less evolving user experience.
Pricing
Entry-Level Pricing
AWS Cloud9
No pricing available
The Jupyter Notebook
No pricing available
Free Trial
AWS Cloud9
No trial information available
The Jupyter Notebook
No trial information available
Ratings
Meets Requirements
8.8
247
8.9
206
Ease of Use
8.7
250
9.1
207
Ease of Setup
8.5
124
9.0
47
Ease of Admin
8.6
73
8.8
30
Quality of Support
8.5
234
8.4
171
Has the product been a good partner in doing business?
Do you have any plans to keep allowing users to save jupyter notebooks without obligating them to use "cloud services"?
1 Comment
TM
I always encourage students to have a local copy. I just wish there was an easier way to run it locally on Win10/Mac. Anaconda makes it simpler but it is...Read more
What are the features of Jupyter notebook?
1 Comment
DG
1.Code cells for writing and editing code.
2.Markdown cell for writing comments and/or code functions.
3.Raw Jupyter NBConvert cells.
4.A support for...Read more
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