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Redash vs Tableau: What are the differences?
Introduction
Redash and Tableau are both data visualization tools that allow users to gain insights from their data. While they serve a similar purpose, there are key differences between the two.
Data Sources: Redash supports a wide range of data sources out of the box, including relational databases, cloud storage services, and RESTful APIs. Tableau also supports various data sources, but it primarily focuses on connecting to structured data such as databases, spreadsheets, and cloud services.
Ease of Use: Redash offers a simple and intuitive user interface, making it easy for non-technical users to create and share visualizations. Tableau, on the other hand, provides a more feature-rich and complex interface that caters to users with more advanced data analysis skills.
Sharing and Collaboration: Redash provides built-in collaboration features, allowing users to share queries, dashboards, and visualizations with team members. It also supports granular access control, ensuring that data is only accessible to authorized users. Tableau offers similar sharing and collaboration capabilities, allowing users to publish and share their visualizations across the organization.
Customization and Extensibility: Redash allows users to customize the look and feel of their visualizations using CSS and Javascript. It also provides a plugin architecture that allows developers to create custom data sources and visualizations. Tableau provides a wide range of customization options, allowing users to design highly interactive and customized visualizations without the need for coding.
Cost: Redash is open source and free to use, making it an attractive option for budget-conscious organizations. Tableau, on the other hand, is a commercial tool that requires a license fee. While Tableau does offer a free version with limited functionality, the full-featured version comes with a price tag.
Advanced Analytics and Data Modeling: Tableau offers advanced analytics and data modeling capabilities, allowing users to perform complex calculations, statistical analysis, and predictive modeling within the tool. Redash focuses more on data visualization and exploration, providing basic data manipulation features but not extensive analytics capabilities.
In summary, Redash and Tableau differ in terms of their supported data sources, ease of use, sharing and collaboration features, customization options, cost, and advanced analytics capabilities.
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 Redash
- Open Source9
- SQL Friendly3
Pros of Tableau
- Capable of visualising billions of rows6
- Intuitive and easy to learn1
- Responsive1
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Cons of Redash
- All results are loaded into RAM before displaying1
- Memory Leaks1
Cons of Tableau
- Very expensive for small companies3
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