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Which is more popular?
Based on our record, Plotly
should be more popular than Power BI Desktop.
It has been mentioned 34 times since March 2021.
social mentions
7 vs 34
Business Intelligence popularity
100% vs 0%
alternatives listed
36 vs 240+
Base details
Website, pricing, platforms and company facts side by side.
User-Friendly Interface Power BI Desktop offers a highly intuitive interface that is easy to navigate, making it accessible for users with varying levels of technical expertise.
Data Visualization The tool provides a wide range of data visualization options that help users create insightful reports and dashboards to better understand their data.
Integration Capabilities Power BI Desktop seamlessly integrates with numerous data sources, including Microsoft Excel, SQL Server, Azure, and other services, allowing for easy data connectivity.
Cost-Effectiveness As a part of the Microsoft ecosystem, Power BI offers a free tier with significant capabilities, providing a cost-effective solution for many businesses.
Custom Visualization Support The platform supports custom visualizations, allowing users to create and share tailored visuals using the open-source R and Python programming languages.
Possible disadvantages
Limited Data Handling Power BI Desktop may struggle with very large datasets and complex calculations, which can affect performance and responsiveness.
Learning Curve for Advanced Features While the basic functionalities are easy to learn, mastering advanced capabilities, such as DAX (Data Analysis Expressions) or M (Power Query Formula Language), requires time and technical understanding.
Dependency on Microsoft Ecosystem Optimal use of Power BI often depends on compatibility with the Microsoft ecosystem, which might not be suitable for organizations using alternative platforms.
Limited Customization in Free Version The free version of Power BI Desktop has limitations in terms of customization and sharing capabilities compared to the premium versions.
Data Refresh Limitations There are restrictions on the frequency and volume of data refreshes, especially in the free version, which can be a constraint for real-time data analysis needs.
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
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
An editorial look at what each product does well and who it suits.
Power BI DesktopPlotly
Overall verdict
Power BI Desktop is a powerful and cost-effective business intelligence tool that excels at data modeling, visualization, and reporting, backed by an active Microsoft Fabric community for support and learning.
Why this product is good
Free to download and use for individual report creation and data analysis
Robust data connectivity with hundreds of built-in connectors to databases, cloud services, and files
Powerful data modeling and transformation capabilities via Power Query and DAX
Rich, interactive visualizations that make insights easy to explore and share
Strong integration with the broader Microsoft ecosystem, including Excel, Azure, and Microsoft Fabric
Active community forum (community.fabric.microsoft.com) offering tutorials, troubleshooting, and best practices
Regular monthly updates adding new features and improvements
Recommended for
Data analysts and business intelligence professionals building interactive dashboards
Small to large organizations already invested in the Microsoft ecosystem
Individuals learning data visualization and analytics on a budget
Teams needing to transform and model data from multiple sources
Report developers who benefit from community-driven support and resources
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.
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.
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...
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...
Recommendations tracked on public social media and blogs since March 2021.
Power BI Desktop7 mentionsPlotly34 mentions
Using Power BI to visualize Edge data sent to Azure IoT Hub
Navigate to the official website and click Download free.
- Source: dev.to
/
over 3 years ago
Powerful new feature upcoming in Power BI
There is a hidden gem in the August 2022 release of Power BI Desktop: a secret new DAX function EvaluateAndLog that is not listed in the feature summary of the official blogpost. Yet this function will become a great learning and...
Source:
about 4 years ago
Using Azure SQL and PowerBI to report on Speaking Events
You will need PowerBI Desktop installed on your machine for this next stage. You can download the latest version form here.
- Source: dev.to
/
over 4 years ago
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
/
8 months ago
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
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...
- Source: dev.to
/
almost 2 years ago
Operational intelligence for government and healthcare service centers. Validate queue data, forecast staffing demand, and make decisions your leadership can defend.
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