What are the pros and cons of popular dashboarding tools?

Let’s compare the pros and cons of popular dashboarding tools and learn how to select the right tool for your dashboard project. 

Tool  Pros  Cons 
  • Intuitive drag-and-drop interface for visually appealing dashboards.
  • Wide range of data connectors to various data sources.
  • Strong community support and resources. 
  • Can be expensive for small businesses or individuals.
  • Limited data manipulation capabilities within the tool itself. 
Power BI 
  • Seamless integration with other Microsoft products.
  • Offers both cloud-based and on-premise solutions.
  • Good balance between ease of use and advanced features. 
  • Less flexible in terms of customization compared to Tableau.
  • Users may need to learn DAX (Data Analysis Expressions) language for advanced calculations. 
  • Focus on real-time data visualization and collaboration.
  • Robust pre-built apps and integrations.
  • Excellent for mobile access and alerts. 
  • May not be suitable for smaller organizations due to cost and complexity.
  • Limited support for advanced analytics and data science features. 
  • Strong data modeling capabilities with its own LookML language.
  • Good for embedding analytics into applications.
  • Integration with version control tools like Git. 
  • The steeper learning curve for non-technical users.
  • Less emphasis on visual appeal and design compared to Tableau or Power BI. 
  • Offers both QlikView (guided analytics) and Qlik Sense (self-service analytics).
  • A unique associative data model for flexible data exploration.
  • Strong data preparation and transformation capabilities. 
  • May require significant training for non-technical users.
  • Licensing can be complex and costly. 


To select the right tool for your use case, consider the following factors: 

  1. Ease of use: Choose a tool that caters to your team’s skill level. Tableau and Power BI are great for beginners, while Looker and Qlik may be better for those with more technical expertise. 
  2. Data connectivity: Ensure that the tool you choose can connect to your existing data sources and integrate with other tools in your tech stack. 
  3. Scalability: Consider whether the tool can handle your organization’s growth, both in terms of data volume and user base. 
  4. Cost: When choosing a tool, factor in licensing fees, training, and implementation costs.
  5. Functionality: Determine if the tool offers the advanced features, customization, and analytics capabilities that you require.

By evaluating each tool based on these factors and your organization’s specific needs, you’ll be well on your way to selecting the right dashboarding solution.  

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