What is the limitation with Tableau desktop?

Tableau Desktop is a powerful data visualization and analytics tool, but like any software, it has its limitations. Some of the common limitations with Tableau Desktop include:

1. Data Volume: Tableau Desktop may struggle with large datasets, especially when dealing with millions or billions of rows of data. Performance issues may arise when loading, processing, or visualizing large volumes of data, leading to slower performance or system crashes.
2. Data Processing: Tableau Desktop's data processing capabilities may be limited compared to dedicated data preparation tools. While it offers basic data cleansing, transformation, and modeling features, complex data manipulation tasks may require additional tools or preprocessing steps outside of Tableau.
3. Complex Calculations: While Tableau Desktop supports a wide range of calculations and expressions, complex calculations or advanced statistical analysis may be challenging to perform directly within the software. Users may need to resort to external tools or custom SQL queries for advanced analytical tasks.
4. Real-Time Data Connectivity: Tableau Desktop may have limitations when connecting to real-time data sources or streaming data sources. While it supports various data connectors and APIs, the ability to handle real-time data may be limited compared to specialized streaming analytics platforms.Which is better for your career growth - Tableau or Power BI?
5. Advanced Analytics: While Tableau Desktop offers basic analytics and predictive modeling capabilities, it may lack the depth and sophistication of dedicated analytics tools or statistical software packages. Users requiring advanced analytics features may need to supplement Tableau Desktop with additional tools or integrate with external analytics platforms.
6. Customization: While Tableau Desktop provides a wide range of customization options for creating interactive visualizations and dashboards, users may encounter limitations when trying to achieve highly customized or specialized visualization designs. Advanced customization may require knowledge of Tableau's scripting language or integration with external JavaScript libraries.
7. Collaboration and Sharing: While Tableau Desktop allows users to create and share visualizations and workbooks, collaboration features may be limited compared to dedicated collaboration platforms or enterprise BI solutions. Users may encounter challenges when collaborating on projects, managing permissions, or version control.
8. Offline Access: Tableau Desktop relies on live connections or extracts of data for visualization and analysis, which may limit offline access to data and dashboards. Users may need to plan for connectivity issues or offline use cases by creating and distributing static extracts or snapshots of data.

Which is better for your career growth - Tableau or Power BI?