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Bokeh vs Tableau: What are the differences?
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Integration with Python Programming Language: Bokeh is a Python library that provides interactive visualization capabilities for the web, making it ideal for users familiar with Python for data analysis. On the other hand, Tableau is a standalone software that offers a user-friendly interface for creating visually appealing data visualizations without the need for programming skills.
Open Source vs. Proprietary Software: Bokeh is an open-source library, allowing users to freely access and modify the source code to cater to their specific needs. Tableau, on the other hand, is proprietary software that requires a license for full functionality, limiting the flexibility and customization options available to users.
Scalability and Performance: Bokeh is known for its scalability, enabling users to create complex and interactive visualizations efficiently. Conversely, Tableau may face performance issues when dealing with large datasets or complex visualizations, impacting the overall user experience.
Community Support and Ecosystem: Bokeh benefits from a robust community of developers and contributors who continually enhance its features and provide support through forums and documentation. While Tableau also has a community of users, the level of customizability and extensibility offered by Bokeh surpasses that of Tableau.
Mapping Capabilities: Bokeh excels in geospatial visualization with its high-quality mapping capabilities, allowing users to create interactive maps with ease. Tableau, while capable of creating maps, may lack the advanced geospatial features and customization options available in Bokeh.
Real-time Data Streaming: Bokeh provides support for real-time data streaming and updating visualizations dynamically, making it suitable for applications that require real-time data analysis. In contrast, Tableau may require manual data refreshes or lack the seamless integration for real-time data visualization.
In Summary, Bokeh and Tableau differ in their integration with Python, open-source vs. proprietary nature, scalability, community support, mapping capabilities, and real-time data streaming features.
Very easy-to-use UI. Good way to make data available inside the company for analysis.
Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.
Can be embedded into product to provide reporting functions.
Support team are helpful.
The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.
Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.
And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.
Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.
Pros of Bokeh
- Beautiful Interactive charts in seconds12
Pros of Tableau
- Capable of visualising billions of rows6
- Intuitive and easy to learn1
- Responsive1
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Cons of Bokeh
Cons of Tableau
- Very expensive for small companies2
