Software Alternatives, Accelerators & Startups

AWS Snowball VS Plotly

Compare AWS Snowball VS Plotly 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.

Plotly logo Plotly

Low-Code Data Apps
  • AWS Snowball Landing page
    Landing page //
    2023-04-12
  • Plotly Landing page
    Landing page //
    2023-07-31

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.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

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

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to AWS Snowball and Plotly)
B2B SaaS
100 100%
0% 0
Data Visualization
0 0%
100% 100
Business & Commerce
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Snowball and Plotly

AWS Snowball Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

Based on our record, Plotly should be more popular than AWS Snowball. It has been mentiond 34 times since March 2021. 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 / 4 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 / about 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
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Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

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

Net Solutions - Where innovation meets expertise. Award-winning digital solutions built for growth.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

OpenLayers - A high-performance, feature-packed library for all your mapping needs.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Revenue River - We help organizations compete and win online with digital marketing and sales innovation strategy and execution.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.