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Azure Storage Explorer VS Plotly

Compare Azure Storage Explorer VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Azure Storage Explorer logo Azure Storage Explorer

Easily manage your Azure storage accounts in the cloud, from Windows, macOS, or Linux, using Azure Storage Explorer.

Plotly logo Plotly

Low-Code Data Apps
  • Azure Storage Explorer Landing page
    Landing page //
    2023-04-05
  • Plotly Landing page
    Landing page //
    2023-07-31

Azure Storage Explorer features and specs

  • User-Friendly Interface
    Azure Storage Explorer provides a graphical user interface that simplifies the management of storage accounts, making it easier to perform complex operations without needing deep technical expertise.
  • Cross-Platform Compatibility
    The tool is available for Windows, macOS, and Linux, ensuring that users can access and manage their Azure storage from any major operating system.
  • Comprehensive Storage Management
    It supports a wide range of Azure storage options including Blob Storage, Queue Storage, Table Storage, and File Storage, giving users a centralized tool for all their storage needs.
  • Integration with Azure Services
    Azure Storage Explorer integrates seamlessly with other Azure services, allowing for streamlined workflows and easy automation of tasks.
  • Data Security
    The tool provides advanced security features such as SAS tokens (Shared Access Signatures) for ensuring secure data access and transfer.
  • Task Automation
    Supports scripting and command-line access, enabling users to automate repetitive tasks and improve operational efficiency.

Possible disadvantages of Azure Storage Explorer

  • Performance Issues
    Some users have reported slow performance, particularly when dealing with large datasets, which can hinder overall efficiency.
  • Complexity for Novices
    Despite its user-friendly design, the feature-rich environment can be overwhelming for beginners who may find it difficult to navigate advanced functionalities.
  • Limited Offline Capabilities
    The tool requires an internet connection to interact with Azure services, limiting its usability in scenarios where offline access is needed.
  • Resource Intensive
    Azure Storage Explorer can be resource-intensive, requiring significant memory and processing power, which can be problematic on lower-end systems.
  • Limited Customization
    The tool offers limited customization options, which may not meet the specific needs or preferences of all users.
  • Occasional Bugs
    Users have occasionally reported bugs and glitches, which can cause inconvenience and require troubleshooting.

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 Azure Storage Explorer

Overall verdict

  • Overall, Azure Storage Explorer is considered to be a good tool, especially for those who are already using the Azure ecosystem. It simplifies the management of Azure storage resources and integrates well with other Azure services, making it a valuable tool for efficient cloud storage management.

Why this product is good

  • Azure Storage Explorer is a versatile tool that allows users to manage their Azure cloud storage resources with ease. It provides a user-friendly interface for accessing different types of storage accounts like Blob, Queue, Table, and File storage. It supports features such as data transfer, managing access control, and performing diagnostics, which enhance its functionality and usability for both developers and IT professionals.

Recommended for

    Azure Storage Explorer is recommended for developers, IT professionals, and businesses that utilize Microsoft Azure for their cloud computing needs. It's particularly beneficial for those who need to manage large volumes of data across various storage types and require a straightforward interface to do so.

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.

Azure Storage Explorer videos

+ Add

Microsoft Azure Storage Explorer Desktop Client Review

More videos:

  • Review - Azure Storage Explorer
  • Review - Azure Storage Explorer 6 Review

Plotly videos

+ Add

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 Azure Storage Explorer and Plotly)

Azure Storage Explorer

Plotly

Cloud Storage
100 100%
Cloud Storage
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Cloud Computing
100 100%
Cloud Computing
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Azure Storage Explorer and Plotly

Azure Storage Explorer Reviews

We have no reviews of Azure Storage Explorer yet.
Be the first one to post

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Azure Storage Explorer. 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.

Azure Storage Explorer mentions (4)

  • Azcopy exclude folder?
    An easier way to copy files from your on-premises environment to an Azure File Share is using Azure Storage Explorer. Source: over 4 years ago
  • Tackle 0 Byte files in Azure Blob Storage with ease using Azure PowerShell
    Now that we have a list of broken files, we can track them down in the Azure Blob Storage media container. For this I can highly recommend the Microsoft Azure Storage Explorer ๐Ÿ’ฏ. - Source: dev.to / almost 5 years ago
  • Searching Azure Blob Storage files using Blob Index
    We're using the Microsoft Azure Storage Explorer to view these files. If you do not already have it installed, get it here. - Source: dev.to / about 5 years ago
  • Query Azure Table Storage with LINQPad6
    3. Add some data. Or we can use Azure Storage Explorer to upload data from local computer. - Source: dev.to / about 5 years ago

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
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What are some alternatives?

When comparing Azure Storage Explorer and Plotly, you can also consider the following products

AWS Storage Gateway - AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage.

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.

VMware vSAN - VMware vSAN is radically simple, enterprise-class software-defined storage powering VMware hyper-converged infrastructure.ย 

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

appFiles - appFiles is a comprehensive storage solution that provides a protection and storage solution to your important files.

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.

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