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Amazon Quicksight vs Tableau: What are the differences?
Key Differences between Amazon Quicksight and Tableau
Amazon Quicksight and Tableau are both powerful data visualization tools, but they have several key differences.
Data Source Options: Amazon Quicksight is primarily designed to work with data sources in the Amazon Web Services (AWS) ecosystem, such as Amazon Redshift, Amazon RDS, and Amazon S3. In contrast, Tableau has a wider range of data source options, including both on-premise and cloud databases, spreadsheets, and web-based data connectors.
Deployment Options: Quicksight is a fully cloud-based solution, meaning that it is hosted on the AWS cloud and requires no on-premise infrastructure. Tableau, on the other hand, offers both cloud and on-premise deployment options, providing more flexibility for organizations with specific data hosting requirements.
Data Preparation and Cleaning: Tableau offers more advanced data preparation and cleaning capabilities than Quicksight. With Tableau, users can perform complex transformations, join multiple data sources, and cleanse data using a intuitive visual interface. Quicksight has some basic data preparation features, but they are not as comprehensive as Tableau's.
Visualization Options: Tableau has a wider range of visualization options and customization capabilities compared to Quicksight. Tableau offers a rich library of visualizations, advanced charting capabilities, and interactive dashboards. Quicksight's visualization options are more limited, with a smaller set of charts and less flexibility in terms of customization.
Collaboration and Sharing: Tableau provides more robust collaboration features, allowing users to share dashboards and reports with others, collaborate on projects, and provide access controls. Quicksight also supports sharing and collaboration, but its capabilities are not as extensive as Tableau's.
Pricing Model: Quicksight's pricing is per-user, per-month based on the level of functionality required. The pricing is relatively lower compared to Tableau, which offers different pricing tiers based on user roles, features, and deployment options. Tableau's pricing can be higher, especially for large organizations with complex data needs.
In Summary, Amazon Quicksight is more suitable for organizations already on the AWS platform, with simpler data needs and a lower budget. Tableau, on the other hand, offers more advanced features, a wider range of data source and deployment options, and is more suitable for organizations with complex data requirements and a higher budget.
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 Amazon Quicksight
- Dataset versionning1
- Good integration with aws Glue ETL services1
- More features (table calculations, functions, insights)1
- Better integration with aws1
- Super cheap1
Pros of Tableau
- Capable of visualising billions of rows6
- Intuitive and easy to learn1
- Responsive1
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Cons of Amazon Quicksight
- Very basic BI tool1
- Only works in AWS environments (not GCP, Azure)1
Cons of Tableau
- Very expensive for small companies3
