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WholesaleBackup VS Plotly

Compare WholesaleBackup VS Plotly and see what are their differences

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WholesaleBackup logo WholesaleBackup

White-label online backup platform for MSPs and IT resellers. Self-host on Windows Server or use cloud storage, brand it as your own, and offer backup-as-a-service to clients — starting at $150/month.

Plotly logo Plotly

Low-Code Data Apps
  • WholesaleBackup Landing page
    Landing page //
    2023-05-26

WholesaleBackup is a white-label backup software platform built for MSPs, IT service providers, and backup resellers. It gives you a complete backup management system you can deliver under your own brand — either self-hosted on your Windows Server infrastructure or connected to cloud storage backends.

What it backs up: Files and folders, disk images (up to 2TB), Microsoft Exchange, SQL Server, virtual machines, open files, and network shares. Windows and macOS clients available; Linux on roadmap.

Storage backends: Self-hosted Windows Server, Amazon S3, Google Cloud Storage, Wasabi, Backblaze B2, or Synology C2 — configurable per brand.

Management: All client endpoints are managed from the Backup Ops Web Console — a centralized dashboard with live connection status, color-coded job health, remote log access, remote config sync, and automated reporting. MFA, role-based access, and sub-user accounts included.

Restore: Granular file recovery, bare metal restore via bootable USB, AWS S3 → EC2 restore, and multi-version recovery with date filtering.

Compliance: HIPAA, GLBA, and PCI DSS compliant architecture. End-to-end encryption in transit and at rest.

RMM integration: Silent push installs and remote configuration management compatible with major RMM platforms.

Pricing: Starts at $150/month including 50 client connections. Additional seats at $3/seat. Storage costs go directly to your chosen cloud provider — WholesaleBackup charges nothing for storage or egress. No per-restore fees. Month-to-month, no minimums.

USA-based support included. In operation for over 20 years.

  • Plotly Landing page
    Landing page //
    2023-07-31

WholesaleBackup features and specs

  • Cost Efficiency
    WholesaleBackup offers a competitive pricing model, making it an economically viable choice for businesses looking to reduce backup costs.
  • White Labeling
    The service allows resellers to brand the software as their own, providing customization options to enhance brand identity.
  • Ease of Use
    WholesaleBackup is designed with user-friendly interfaces, making it accessible for businesses without technical expertise.
  • Scalability
    It supports scaling according to business needs, accommodating a growing amount of data without compromising performance.
  • Compatible with Multiple Platforms
    The software is compatible with various operating systems and devices, ensuring flexibility for users with diverse technical environments.

Possible disadvantages of WholesaleBackup

  • Limited Features
    Compared to some competitors, WholesaleBackup may offer fewer advanced features like real-time analytics or AI-driven insights.
  • Support Limitations
    Customer support might not be as robust or responsive as needed, which can be a drawback for users requiring frequent assistance.
  • Initial Setup Complexity
    While using the software is straightforward, initial setup and configuration can be complex for non-technical users.
  • Internet Dependency
    Like all cloud backup solutions, WholesaleBackup relies on a stable internet connection, which can be a limitation in areas with connectivity issues.
  • Data Restoration Speed
    The speed of data restoration might be slower compared to some high-end competitors, especially for very large datasets.

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.

WholesaleBackup videos

+ Add

Overview of WholesaleBackup Server

More videos:

  • Review - What is WholesaleBackup? (30 second overview)
  • Review - Introducing the next generation of WholesaleBackup's white label backup software

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 WholesaleBackup and Plotly)

WholesaleBackup

Plotly

Backup & Sync
100 100%
Backup & Sync
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Cloud Storage
100 100%
Cloud Storage
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using WholesaleBackup and Plotly. For example, how are they different and which one is better?
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Reviews

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

WholesaleBackup Reviews

We have no reviews of WholesaleBackup yet.
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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.
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 that’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 seems to be more popular. 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.

WholesaleBackup mentions (0)

We have not tracked any mentions of WholesaleBackup yet. Tracking of WholesaleBackup recommendations started around Aug 2021.

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 / 6 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!🤓
    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 / almost 2 years 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 WholesaleBackup and Plotly, you can also consider the following products

Online Vault Backup - Online Vault Backup is a cloud storage service that allows you backup your data while having unlimited 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.

Rebel Backup - Rebel Backup lets you make encrypted backups of your important files to Dropbox or Google Drive.

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

Genie Backup Manager - Genie Backup Manager is a backup solution for Small and Medium Businesses who are seeking full system backup to virtually any storage device.

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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