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AWS Snowball VS iPython

Compare AWS Snowball VS iPython and see what are their differences

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AWS Snowball logo AWS Snowball

AWS Snowball is a petabyte-scale data transport service that uses secure devices to transfer large amounts of data into and out of the AWS cloud.

iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.
  • AWS Snowball Landing page
    Landing page //
    2023-04-12
  • iPython Landing page
    Landing page //
    2021-10-07

AWS Snowball features and specs

  • High Data Transfer Speed
    AWS Snowball allows for rapid data transfer, capable of moving petabytes of data securely and quickly, often faster than transferring over the internet.
  • Security
    Snowball devices use tamper-evident enclosures, 256-bit encrypted data transfer, and secure data erasure once the data has been uploaded to AWS, ensuring data security during transit.
  • Cost-Effective
    Compared to high-bandwidth internet connections, especially in regions with poor connectivity, AWS Snowball can be a more cost-effective solution for large-scale data transfer.
  • Scalability
    Users can request multiple Snowball devices simultaneously to move larger volumes of data efficiently. This makes it scalable to meet the needs of significant data transfer projects.
  • Ease of Use
    AWS provides a simple, user-friendly interface for ordering, tracking, and managing Snowball devices, making the service accessible even to users without deep technical expertise.
  • Offline Data Transfer
    Snowball operates offline, meaning that data can be transferred without relying on internet connectivity, which is particularly beneficial in areas with limited or unreliable connectivity.

Possible disadvantages of AWS Snowball

  • Limited Data Sizes Per Device
    Each Snowball device has a maximum capacity (currently up to 80TB per device), so extremely large datasets may require multiple devices and therefore multiple shipments.
  • Shipping Time
    The physical shipment of Snowball devices can take several days depending on the location, which may not be suitable for projects requiring immediate data transfer.
  • Initial Cost and Complexity
    There may be an initial investment and learning curve involved in setting up and understanding how to use AWS Snowball, which might be a barrier for smaller organizations or those with limited technical expertise.
  • Geographical Limitations
    AWS Snowball may not be available in all regions or countries, limiting its usefulness for organizations based in or needing to ship data to/from unsupported locations.
  • Handling and Physical Security
    Despite its tamper-evident features, physical shipment adds a layer of risk related to potential loss or damage in transit, as well as the need for secure handling and storage until the data transfer is complete.
  • Data Transfer Time
    Once the device arrives, transferring data to and from the Snowball can be time-consuming depending on the volume of data and the local network setup.

iPython features and specs

  • Interactive Computing
    IPython provides a rich toolkit to help you make the most out of using Python interactively. This includes powerful introspection, rich media display, session logging, and more.
  • Ease of Use
    IPython includes features like syntax highlighting, tab completion, and easy access to the help system, which make writing and understanding code easier for users.
  • Rich Display System
    It supports rich media like images, videos, LaTeX, and HTML, making it very useful for data visualization and educational purposes.
  • Extensibility
    IPython is highly extensible and can be customized with a range of plugins, extensions, and different backends to suit various needs.
  • Enhanced Debugging
    It features enhanced debugging capabilities, including an improved traceback support and better handling of exceptions.

Possible disadvantages of iPython

  • Learning Curve
    For beginners, the extensive feature set of IPython may be overwhelming and have a steep learning curve.
  • Resource Intensive
    IPython, particularly Jupyter notebooks, can be resource-intensive, leading to slow performance on large datasets or complex computations.
  • Dependency Management
    Managing dependencies can be challenging, especially when using multiple packages in the same environment, which can lead to conflicts.
  • Limited IDE Features
    While IPython has many interactive features, it lacks some of the more advanced IDE features such as comprehensive code refactoring tools and integrated version control.
  • Exporting and Sharing
    Although you can export notebooks in various formats, sharing them in a way that preserves full interactivity can be complex compared to traditional scripts.

Analysis of iPython

Overall verdict

  • Yes, iPython is highly regarded for its flexibility, powerful features, and ability to enhance productivity in data analysis and scientific computing. It serves as an integral tool for many professionals in technical fields.

Why this product is good

  • iPython, which forms the backbone of the Jupyter ecosystem, is favored for its interactive capabilities, integration with various data science libraries, and support for visualizations. It allows seamless execution of code in a web-based environment, making it highly effective for experiments, rapid prototyping, and sharing insights.

Recommended for

  • Data Scientists
  • Researchers
  • Educators
  • Software Developers
  • Anyone interested in interactive and exploratory computing

AWS Snowball videos

AWS Snowball Edge Overview

More videos:

  • Review - DigitalGlobe Moves Petabytes of Data Quickly and Securely Using AWS Snowmobile
  • Review - AWS Snowball | Snowball Edge | Snowmobile - Amazon AWS Large Scale Datasets Migration

iPython videos

No iPython videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to AWS Snowball and iPython)
B2B SaaS
100 100%
0% 0
Text Editors
0 0%
100% 100
Business & Commerce
100 100%
0% 0
Python IDE
0 0%
100% 100

User comments

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Social recommendations and mentions

AWS Snowball might be a bit more popular than iPython. We know about 22 links to it since March 2021 and only 20 links to iPython. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS Snowball mentions (22)

  • Architecting the Far West: A Roadmap for Sudurpaschim as Nepalโ€™s Regional AWS Cloud Hub
    AWS Snowball | Secure Edge Computing and Offline Data Transfer | Amazon Web Services, accessed on March 11, 2026,. - Source: dev.to / 5 months ago
  • WD Ultrastar Transporter: Briefcase with 368TB of NVMe SSD, 128GB RAM, 1300W PSU
    This is still a common thing. Amazon has AWS Snowball [1] (up to 210 TB), Backblaze has Fireball [2] (96 TB), and I'm sure there are others. [1]: https://aws.amazon.com/snowball/ [2]: https://www.backblaze.com/cloud-storage/features/fireball-data-migration. - Source: Hacker News / over 2 years ago
  • AWS To Provide Free Data Transfer Out To Internet
    If you have extremely large amounts of data to transfer, such as hundreds of petabytes or into exabytes, AWS Snowmobile can move up to 100PB at once via a ruggedized shipping container. The ruggedized shipping container is tamper-resistant, water-resistant, temperature controlled, and GPS-tracked. The service was announced in 2016, and one of the trucks shown during a presentation that year at AWS re-Invent:. - Source: dev.to / over 2 years ago
  • AWS To Provide Free Data Transfer Out To Internet
    AWS Snowball has a number of devices optimized for edge computing and data transfer. The service allows you to order a ruggedized device that can hold multiple terrabytes to petabytes of data, to transfer to AWS. - Source: dev.to / over 2 years ago
  • AWS To Provide Free Data Transfer Out To Internet
    If you have extremely large amounts of data to transfer, such as hundreds of petabytes or into exabytes, AWS Snowmobile can move up to 100PB at once via a ruggedized shipping container. The ruggedized shipping container is tamper-resistant, water-resistant, temperature controlled, and GPS-tracked. The service was announced in 2016, and one of the trucks shown during a presentation that year at AWS re-Invent:. - Source: dev.to / over 2 years ago
View more

iPython mentions (20)

  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 11 months ago
  • Modern Python REPL in Emacs using VTerm
    As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโ€™m currently in the process of getting my โ€œnewโ€ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโ€™t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
  • Wanting to learn how to code, but completely lost.
    Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
  • IJulia: The Julia Notebook
    IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
  • How to "end" a loop in the REPL?
    Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
View more

What are some alternatives?

When comparing AWS Snowball and iPython, you can also consider the following products

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PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

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Spyder - The Scientific Python Development Environment