
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Low-Code Data Apps

Domo
Looker
Sisense
Qlik
Tableau
Chartio
Microsoft Power BI
MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.
Which is more popular?
Based on our record, Plotly seems to be more popular. It has been mentioned 34 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | plotly.com | microstrategy.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
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.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Create Real-time Chart with Javascript | Plotly.js Tutorial
More videos
Overview of MicroStrategy Desktop 10.10
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Plotly and MicroStrategy. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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...
MicroStrategy: MicroStrategy delivers a comprehensive enterprise analytics platform that supports advanced data analysis and mobile applications, offering powerful insights into a wide array of business metrics.
Recommendations tracked on public social media and blogs since March 2021.


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
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 / over 1 year ago
Tracking MicroStrategy since Mar 2021.
When comparing Plotly and MicroStrategy, you can also consider the following products.

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
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Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
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RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
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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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The BI & Dashboard Software to handle multiple, large data sets.
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